A theme I've discussed in writing about basketball winning streaks is that, the more the streaking team can blow out opponents, the more it can rest its star players. With the Miami Heat's winning streak now at 20 games after last night's victory in Philadelphia, I decided to examine LeBron James's minutes played in each game during the streak.
As seen in the following graph, I divided the games into those the Heat won by single-digit and double-digit margins. (I included the Heat's double-overtime 141-129 win over Sacramento as a single-digit game, as the game would have been close down the stretch.) Another factor that may affect James's (and other NBA stars') minutes played is opportunity for rest between games. Accordingly, I divided games into three categories: first game of two on back-to-back days; second game of a back-to-back; and at least one off-day before and after the game. Here are James's average minutes played as a function of win-margin and game-scheduling.
A couple of trends are apparent in the graph. First, if we look at the yellow (off-days before and after) and black (second game of back-to-back) lines, James gets three and one-half extra minutes of rest when the Heat is winning handily. (The difference is even greater for the white line, representing first games of back-to-back situations, but there is only one observation for single-digit games of this type.) Also, regardless of victory margin, James plays about two minutes fewer in second games of back-to-back scenarios than in games surrounded by off-days.
jueves, 14 de marzo de 2013
lunes, 11 de marzo de 2013
Heat Wave Has Miami Winning Streak at 18 Games
The Miami Heat won its 18th straight game last night, routing the Indiana Pacers, 105-91. Among all-time win streaks, Miami now ties for the seventh-longest in NBA history and eclipses a 17-game run by the Los Angeles Clippers earlier this season. The second-longest all-time NBA win streak, 22 games by the 2007-08 Houston Rockets, is certainly within reach, whereas it will take something extra special for the Heat to approach the 1971-72 Los Angeles Lakers' NBA record 33-game winning streak.
Though a comparison to the Lakers' record is admittedly premature, I find it instructive to compare their margins of victories during the 1971-72 streak to Miami's during its current run. By routing opponents, a team can rest its star players, keeping them fresh for the long grind of a streak. As I documented in this retrospective on the Lakers' streak, they won 23 of the 33 games (70%) by double-digits. As shown in the following little chart that I made, the Heat has won 10 of the 18 games in its streak by double-digits (56%).
As a further sign of how little the 1971-72 Lakers were challenged during their streak, they won 32 of the 33 games in the streak by four points or more in regulation; the one exception was an overtime game. Miami has had two close calls: a one-point win over Orlando (97-96) on March 6 when LeBron James made a layup in the final seconds and a Feb. 26 double-overtime game against Sacramento, which the Heat ultimately won handily, 141-129 (Heat game-by-game log).
Looking at the near term, Miami's next five opponents are the teams that rank 6-10 in the Eastern Conference standings (winning percentages in parentheses):
Tuesday, March 12, vs. Atlanta (.548)
Wednesday, March 13, at Philadelphia (.371)
Friday, March 15, at Milwaukee (.525)
Sunday, March 17, at Toronto (.391)
Monday, March 18, at Boston (.548)
A sweep of these five games would give the Heat 23 straight wins and the second-longest win streak in NBA history. Although none of the NBA's elite teams of the current season (e.g., Oklahoma City, San Antonio) appear during this upcoming stretch, there are three reasons for Miami fans to be concerned: five games in seven days make for a tiring stretch, four of the games are on the road, and the Heat and Celtics have an intense rivalry, going back to last season's seven-game conference finals, so you know Boston will be ready a week from today!
Though a comparison to the Lakers' record is admittedly premature, I find it instructive to compare their margins of victories during the 1971-72 streak to Miami's during its current run. By routing opponents, a team can rest its star players, keeping them fresh for the long grind of a streak. As I documented in this retrospective on the Lakers' streak, they won 23 of the 33 games (70%) by double-digits. As shown in the following little chart that I made, the Heat has won 10 of the 18 games in its streak by double-digits (56%).
As a further sign of how little the 1971-72 Lakers were challenged during their streak, they won 32 of the 33 games in the streak by four points or more in regulation; the one exception was an overtime game. Miami has had two close calls: a one-point win over Orlando (97-96) on March 6 when LeBron James made a layup in the final seconds and a Feb. 26 double-overtime game against Sacramento, which the Heat ultimately won handily, 141-129 (Heat game-by-game log).
Looking at the near term, Miami's next five opponents are the teams that rank 6-10 in the Eastern Conference standings (winning percentages in parentheses):
Tuesday, March 12, vs. Atlanta (.548)
Wednesday, March 13, at Philadelphia (.371)
Friday, March 15, at Milwaukee (.525)
Sunday, March 17, at Toronto (.391)
Monday, March 18, at Boston (.548)
A sweep of these five games would give the Heat 23 straight wins and the second-longest win streak in NBA history. Although none of the NBA's elite teams of the current season (e.g., Oklahoma City, San Antonio) appear during this upcoming stretch, there are three reasons for Miami fans to be concerned: five games in seven days make for a tiring stretch, four of the games are on the road, and the Heat and Celtics have an intense rivalry, going back to last season's seven-game conference finals, so you know Boston will be ready a week from today!
sábado, 9 de marzo de 2013
Blackhawks' Undefeated Streak in Regulation Time Comes to End
The Chicago Blackhawks' season-opening streak of 24 games without a regulation-time loss ended last night in a 6-2 defeat at Colorado. (NHL teams normally would have played more than 24 games by now, but the current season was shortened by an owners' lockout.) During these 24 games, the Blackhawks won 14 games in regulation and seven games after the regulation 60 minutes ended in a tie (either in the five-minute sudden-death overtime period or in a shootout after a scoreless OT). Chicago also lost three games in shootouts after tying in regulation (click here for Hawks' 2013 game-by-game log).
In fact, Chicago finished the 2011-12 regular season with no regulation losses in its final six games, putting the combined-season streak at 30 games. The 1979-80 Philadelphia Flyers hold the record at 35 games (25 wins, 10 ties, with no overtime then). In the following table, I list all 30 of the Blackhawks' undefeated regulation games.
Typically, teams that go on long streaks of success blow away most of their opponents -- a sign of their superior talent and coaching -- and perhaps rely on luck in a few games to keep their streaks alive. One example is the 1971-72 Los Angeles Lakers, who won 33 straight NBA basketball games. Other than one overtime game, the Lakers always won by at least four points during the streak. Further, 23 of the 33 wins were by double digits.
Although a direct comparison of basketball and hockey is necessarily imprecise, the Blackhawks clearly did not annihilate many opponents during their 30-game regulation undefeated streak. In only eight of the 30 games did regulation play end with Chicago ahead by two or more goals. Counting only regulation time during the 30 games, the Blackhawks averaged 2.90 goals per game, whereas their opponents averaged 1.93, a difference of less than a goal per game. In this way, Chicago's streak was an unusual one.
In fact, Chicago finished the 2011-12 regular season with no regulation losses in its final six games, putting the combined-season streak at 30 games. The 1979-80 Philadelphia Flyers hold the record at 35 games (25 wins, 10 ties, with no overtime then). In the following table, I list all 30 of the Blackhawks' undefeated regulation games.
| Opponent (@ = Away) | Score After Regulation (Hawks-Opp.) | Hawks' OT Result (If Applicable) |
| 2012 | (Last Season) | ... |
| @New Jersey | 1-1 | Lost 2-1 in shootout |
| St. Louis | 3-3 | Won 4-3 in shootout |
| @Nashville | 5-4 | ... |
| Minnesota | 4-4 | Lost 5-4 in shootout |
| @Minnesota | 1-1 | Lost 2-1 in shootout |
| @Detroit | 2-2 | Won 3-2 in shootout |
| 2013 | (This Season) | ... |
| @L.A. | 5-2 | ... |
| @Phoenix | 6-4 | ... |
| St. Louis | 3-2 | ... |
| @Dallas | 2-2 | Won 3-2 in 5-min. OT |
| @Columbus | 3-2 | ... |
| Detroit | 1-1 | Won 2-1 in 5-min OT |
| @Minnesota | 2-2 | Lost 3-2 in shootout |
| @Vancouver | 1-1 | Lost 2-1 in shootout |
| @Calgary | 2-2 | Won 3-2 in shootout |
| @San Jose | 5-3 | ... |
| @Phoenix | 6-2 | ... |
| @Nashville | 3-0 | ... |
| Anaheim | 2-2 | Lost 3-2 in shootout |
| San Jose | 4-1 | ... |
| L.A. | 3-2 | ... |
| Vancouver | 3-3 | Won 4-3 in shootout |
| San Jose | 2-1 | ... |
| Columbus | 1-0 | ... |
| Edmonton | 2-2 | Won 3-2 in 5-min OT |
| @St. Louis | 3-0 | ... |
| Columbus | 3-3 | Won 4-3 in 5-min OT |
| @Detroit | 1-1 | Won 2-1 in shootout |
| Minnesota | 5-3 | ... |
| Colorado | 3-2 | ... |
| @Colorado | 2-6 | END OF STREAK |
Typically, teams that go on long streaks of success blow away most of their opponents -- a sign of their superior talent and coaching -- and perhaps rely on luck in a few games to keep their streaks alive. One example is the 1971-72 Los Angeles Lakers, who won 33 straight NBA basketball games. Other than one overtime game, the Lakers always won by at least four points during the streak. Further, 23 of the 33 wins were by double digits.
Although a direct comparison of basketball and hockey is necessarily imprecise, the Blackhawks clearly did not annihilate many opponents during their 30-game regulation undefeated streak. In only eight of the 30 games did regulation play end with Chicago ahead by two or more goals. Counting only regulation time during the 30 games, the Blackhawks averaged 2.90 goals per game, whereas their opponents averaged 1.93, a difference of less than a goal per game. In this way, Chicago's streak was an unusual one.
miércoles, 6 de febrero de 2013
Hot 3-Point Shooting in Houston and Ann Arbor
Three-point shots were flying through the nets in Houston, Texas, and Ann Arbor, Michigan, last night.
In H-town, it was the NBA Rockets hitting 23-of-40 (57.5%) from beyond the arc, in a 140-109 rout of Golden State. Interestingly, every Rocket player who attempted at least one trey hit at a .500 or higher clip from downtown (box score):
I don't know if an NBA team has ever before had each of its players make half or more of his three-point attempts in the same game, but I doubt it's very common!
Even more surprisingly, according to this game article, "The Rockets put on the shooting display without their best 3-point shooter -- Carlos Delfino sat out with a right elbow injury."
UPDATE: I have since discovered that on March 13, 2005, when Toronto hit 21 from downtown (61.8%, on 34 attempts) vs. Philly, all Raptors who attempted a shot were .500+. These include: Donyell Marshall, 12-of-19; Morris Peterson, 4-of-6; Rafer Alston, 2-of-3; Jalen Rose, 2-of-4; and Matt Bonner, 1-of-2. Also, the NBA's online record book lists Indiana as going 7-of-7 vs. Atlanta on January 20, 1995, for most three-point field goals without a miss in a game. Reggie Miller went 4-of-4, Haywoode Workman, 1-of-1, and Byron Scott, 2-of-2. What the 2013 Rockets and 2005 Raptors did on a lot more attempts is arguably more impressive than the Pacers' 7-of-7, I would say.
Meanwhile, up in Ann Arbor, Tim Hardaway, Jr., and his Michigan Wolverine teammates came roaring out of the locker room to begin the second half and made their first eight trey attempts of the period against Ohio State. UM's only three-point miss of the second half came on a potential game-winner at the buzzer, but the Wolverines prevailed in overtime, 76-74 (article).
As seen in this screen-capture of ESPN.com's play-by-play sheet (which I highlighted), Hardaway made four straight second-half threes within a 3:19 span (from between 12:04 and 8:45 left in the game). You may click on the graphic to enlarge it.
Hardaway added a fifth straight trey with 5:26 remaining.
***
Heading into last night's play, the Florida men were on one of the "most dominant seven-game stretches in conference play since 2000" (source, see where it says "13 Florida"). The stretch propelled the Gators to No. 2 in the nation. However, a horrible first half at Arkansas doomed Florida in an 80-69 streak-ending loss.
In H-town, it was the NBA Rockets hitting 23-of-40 (57.5%) from beyond the arc, in a 140-109 rout of Golden State. Interestingly, every Rocket player who attempted at least one trey hit at a .500 or higher clip from downtown (box score):
- James Harden, 4-of-5
- Jeremy Lin, 5-of-8
- Chandler Parsons, 4-of-8
- Marcus Morris, 3-of-6
- Toney Douglas, 2-of-4
- James Anderson, 2-of-4
- Patrick Patterson, 1-of-2
- Patrick Beverley, 1-of-2
- Donatas Motiejunas, 1-of-1
Even more surprisingly, according to this game article, "The Rockets put on the shooting display without their best 3-point shooter -- Carlos Delfino sat out with a right elbow injury."
UPDATE: I have since discovered that on March 13, 2005, when Toronto hit 21 from downtown (61.8%, on 34 attempts) vs. Philly, all Raptors who attempted a shot were .500+. These include: Donyell Marshall, 12-of-19; Morris Peterson, 4-of-6; Rafer Alston, 2-of-3; Jalen Rose, 2-of-4; and Matt Bonner, 1-of-2. Also, the NBA's online record book lists Indiana as going 7-of-7 vs. Atlanta on January 20, 1995, for most three-point field goals without a miss in a game. Reggie Miller went 4-of-4, Haywoode Workman, 1-of-1, and Byron Scott, 2-of-2. What the 2013 Rockets and 2005 Raptors did on a lot more attempts is arguably more impressive than the Pacers' 7-of-7, I would say.
Meanwhile, up in Ann Arbor, Tim Hardaway, Jr., and his Michigan Wolverine teammates came roaring out of the locker room to begin the second half and made their first eight trey attempts of the period against Ohio State. UM's only three-point miss of the second half came on a potential game-winner at the buzzer, but the Wolverines prevailed in overtime, 76-74 (article).
As seen in this screen-capture of ESPN.com's play-by-play sheet (which I highlighted), Hardaway made four straight second-half threes within a 3:19 span (from between 12:04 and 8:45 left in the game). You may click on the graphic to enlarge it.
Hardaway added a fifth straight trey with 5:26 remaining.
***
Heading into last night's play, the Florida men were on one of the "most dominant seven-game stretches in conference play since 2000" (source, see where it says "13 Florida"). The stretch propelled the Gators to No. 2 in the nation. However, a horrible first half at Arkansas doomed Florida in an 80-69 streak-ending loss.
sábado, 2 de febrero de 2013
Hot Hand Meta-Analysis Published
The January 2013 issue of the journal Psychology of Sport and Exercise contains a meta-analysis of hot hand studies, conducted by Simcha Avugos, Jörn Köppen, Uwe Czienskowski, Markus Raab, and Michael Bar-Eli. The authors located 22 articles providing tests of the hot hand (i.e., success begets success, and failure begets failure) in a variety of sports. Because some articles included multiple studies, there were 56 effect sizes in all.
Results from each study were converted to a common correlational metric. The closer an effect size was to +1, the more supportive the study was of the hot hand (i.e., how an athlete performed on one trial is likely to be replicated on the next trial). Effect sizes close to -1, in contrast, convey the opposite of the hot hand (i.e., how an athlete performed on one trial is likely to be followed by an opposite result on the next trial). A zero effect-size doesn't support either trend.
The average effect size was .02, leading the authors to conclude that, "...we found no
solid evidence for either the existence of a general hot hand effect, or for any moderating variable that can explain the extent of a hot hand effect" (p. 26).
Results from each study were converted to a common correlational metric. The closer an effect size was to +1, the more supportive the study was of the hot hand (i.e., how an athlete performed on one trial is likely to be replicated on the next trial). Effect sizes close to -1, in contrast, convey the opposite of the hot hand (i.e., how an athlete performed on one trial is likely to be followed by an opposite result on the next trial). A zero effect-size doesn't support either trend.
The average effect size was .02, leading the authors to conclude that, "...we found no
solid evidence for either the existence of a general hot hand effect, or for any moderating variable that can explain the extent of a hot hand effect" (p. 26).
lunes, 28 de enero de 2013
Northern Illinois's Shooting Goes South
Northern Illinois University's men's basketball team got a lot of attention this past Saturday -- and not the kind that a team covets. The Huskies lost to Eastern Michigan by a 42-25 score. The score alone conveys NIU's offensive woes, but the details are even worse:
*Northern Illinois score underlined.
On January 19, Northern Illinois lost to Western Michigan, 71-34. Quoting from this game article, the Huskies' 34 points constituted their "lowest point total since losing 61-31 to Southern Illinois in 1946." Then, just two games later, against Eastern Michigan, NIU took its offensive futility to a new (low) level, scoring just 25 points. To find that small of an offensive NIU output, one has to go back to January 11, 1941, when the Huskies lost at Chicago Normal (now Chicago State) 26-25 (see last year's NIU media guide for detailed game-by-game information throughout program history).
Interestingly, in between the WMU and EMU games, NIU got a rare win, topping Central Michigan, 74-61. In racking up a healthy point total, the Huskies shot an impressive.526 on three-point attempts (10-of-19). This outburst from behind the arc, along with one in a Jan. 9 win over Miami (Ohio) in which the Huskies shot .692 from long distance (9-of-13), are clearly the exceptions. In 15 out of NIU's 18 games thus far this season, the Huskies have shot .333 or lower on three-point attempts.
It is also apparent that Northern Illinois is not a good free throw-shooting team, either. In eight of the team's games, the Huskies have shot .600 or lower from the stripe. To explore the idea of a generalized shooting ability, covering two- and three-point baskets and free throws, I obtained correlation coefficients between each pair among the three variables. As shown in the following graph (on which you can click to enlarge), free-throw and three-point success were positively correlated, r = .46 (the probability of this result occurring by chance was .057, slightly higher than the conventional cut-off of .05, but isn't bad for such a small sample).
In short, the better NIU shot free throws in a game, the better it shot three-pointers (and the worse it did one, the worse it did the other). In a way, this is surprising, because free throws are attempted without the shooter being defended (hence the term "free"), whereas three-point shooters often have opponents in their face.
I've circled a bunch of dots in the graph that seem to characterize several NIU shooting nights; in these games, the Huskies' shooting percentages were in the 50s and low 60s on free throws and in the 20s and 30s from downtown. Starting from this relatively low characteristic level of shooting, all it takes is some bad luck or tenacious defense from the opponent to drive the Huskies down to the abysmal shooting they've exhibited of late.
The correlation between two-point shooting and free throws, and between two-point and three-point shooting, were both in the positive direction (higher on one, higher on the other), but not close to the .05 level of statistical significance. Because two-point shots can range from slam-dunks to shots just inside the arc, it's not surprising that their data are somewhat noisy.
- Only four points scored in the first half.
- Only one shot from the floor made in 31 attempts in the first half.
- Only one three-point shot made in the entire contest out of 33 attempts.
| Opponent | 2-PT % | 3-PT % | FT % | Score* | Notes |
| Neb-Omaha | 47.1 (16/34) | 31.3 (5/16) | 56.7 (17/30) | 77-64 | |
| Valparaiso | 31.9 (15/47) | 22.2 (4/18) | 57.1 (4/7) | 69-46 | |
| Judson Coll. | 58.7 (27/46) | 20.0 (3/15) | 60.0 (9/15) | 72-54 | |
| Loyola (Chi.) | 32.6 (14/43) | 21.4 (3/14) | 81.8 (9/11) | 53-46 | |
| UI-Chicago | 36.4 (12/33) | 25.0 (4/16) | 55.6 (10/18) | 58-46 | |
| Dayton | 38.7 (12/31) | 30.0 (3/10) | 58.8 (10/17) | 60-43 | NIU 5 points in first half |
| SIU-Edwards. | 60.0 (21/35) | 33.3 (5/15) | 72.7 (8/11) | 65-54 | |
| UW-Milwaukee | 43.6 (24/55) | 27.8 (5/18) | 62.5 (10/16) | 80-73 OT | |
| DePaul | 42.0 (21/50) | 33.3 (5/15) | 87.5 (7/8) | 69-64 | |
| Seattle | 32.4 (11/34) | 23.8 (5/21) | 57.9 (11/19) | 75-48 | |
| Washington | 38.6 (17/44) | 41.7 (5/12) | 72.7 (8/11) | 67-57 | |
| U. Mass. | 33.3 (15/45) | 27.8 (5/18) | 87.5 (14/16) | 64-59 | |
| Miami (OH) | 40.0 (12/30) | 69.2 (9/13) | 80.8 (21/26) | 72-61 | |
| Akron | 42.9 (15/35) | 7.1 (1/14) | 69.0 (20/29) | 68-53 | |
| Ohio U. | 39.1 (18/46) | 18.2 (2/11) | 65.6 (21/32) | 81-63 | |
| W. Michigan | 21.2 (7/33) | 18.2 (4/22) | 50.0 (8/16) | 71-34 | NIU's fewest total points in 67 years |
| C. Michigan | 45.8 (11/24) | 52.6 (10/19) | 71.0 (22/31) | 74-61 | |
| E. Michigan | 25.0 (7/28) | 3.0 (1/33) | 53.3 (8/15) | 42-25 | NIU 4 points, 1-for-31 from floor, in first half |
On January 19, Northern Illinois lost to Western Michigan, 71-34. Quoting from this game article, the Huskies' 34 points constituted their "lowest point total since losing 61-31 to Southern Illinois in 1946." Then, just two games later, against Eastern Michigan, NIU took its offensive futility to a new (low) level, scoring just 25 points. To find that small of an offensive NIU output, one has to go back to January 11, 1941, when the Huskies lost at Chicago Normal (now Chicago State) 26-25 (see last year's NIU media guide for detailed game-by-game information throughout program history).
Interestingly, in between the WMU and EMU games, NIU got a rare win, topping Central Michigan, 74-61. In racking up a healthy point total, the Huskies shot an impressive.526 on three-point attempts (10-of-19). This outburst from behind the arc, along with one in a Jan. 9 win over Miami (Ohio) in which the Huskies shot .692 from long distance (9-of-13), are clearly the exceptions. In 15 out of NIU's 18 games thus far this season, the Huskies have shot .333 or lower on three-point attempts.
It is also apparent that Northern Illinois is not a good free throw-shooting team, either. In eight of the team's games, the Huskies have shot .600 or lower from the stripe. To explore the idea of a generalized shooting ability, covering two- and three-point baskets and free throws, I obtained correlation coefficients between each pair among the three variables. As shown in the following graph (on which you can click to enlarge), free-throw and three-point success were positively correlated, r = .46 (the probability of this result occurring by chance was .057, slightly higher than the conventional cut-off of .05, but isn't bad for such a small sample).
In short, the better NIU shot free throws in a game, the better it shot three-pointers (and the worse it did one, the worse it did the other). In a way, this is surprising, because free throws are attempted without the shooter being defended (hence the term "free"), whereas three-point shooters often have opponents in their face.
I've circled a bunch of dots in the graph that seem to characterize several NIU shooting nights; in these games, the Huskies' shooting percentages were in the 50s and low 60s on free throws and in the 20s and 30s from downtown. Starting from this relatively low characteristic level of shooting, all it takes is some bad luck or tenacious defense from the opponent to drive the Huskies down to the abysmal shooting they've exhibited of late.
The correlation between two-point shooting and free throws, and between two-point and three-point shooting, were both in the positive direction (higher on one, higher on the other), but not close to the .05 level of statistical significance. Because two-point shots can range from slam-dunks to shots just inside the arc, it's not surprising that their data are somewhat noisy.
domingo, 6 de enero de 2013
Titans' Unusual Streak of Four Straight Touchdowns
Last Sunday, in the final weekend of the NFL's regular season, the Tennessee Titans scored touchdowns on four straight touches of the ball against the Jacksonville Jaguars, but none of these scores was accomplished by the Titans' offensive unit. I thank my father and brother for bringing this occurrence to my attention. As summarized in this article:
The first touchdown was scored after [Tennessee's] Zach Brown intercepted [Jacksonville's] Chad Henne and ran the ball back 79 yards for a defensive touchdown. After the Jaguars offense was forced to punt on their very next possession, the punt was returned 69 yards for another touchdown by Darius Reynaud. The Jaguars offense once again took the field without a break and once again they were forced to punt and, once again, Darius Reynaud returned the punt for a touchdown, this time for 81 yards. Finally, the last touchdown was scored on another Zach Brown pick six, this time from 30 yards out.
In the remainder of this posting, I will estimate the probability of the Titans' achievement. First, what is the likelihood of two interception returns for touchdowns (also known as "pick sixes") and two punt returns for touchdowns occurring in the same game? (At this stage, we're not taking into account that all four touchdowns were scored by the same team and done consecutively.)
The "Fifth Down" blog in the New York Times just happened to have a write-up on pick sixes the other day, which provided the following statistics on this past NFL season:
We need the same kind of statistics on punt returns and, fortunately, they are readily available:
To estimate the probability of two pick sixes and two punt-return TDs in one game, we multiply together:
.004 X .004 X .016 X .016 = .000000004 or 4-in-1 billion.
(This calculation assumes independence of observations, that the outcome of any one play had no effect on the other plays, akin to coin tosses. However, there could be common causes amongst the plays, such as the Jaguars' offensive and special-teams players being poor tacklers.)
Next, let's tackle the issue of all four of these touchdowns being scored by Tennessee, instead of say, two by Tennessee and two by Jacksonville, or three by one team and one by the other. Let's assume, for each of the touchdowns, that it was just as likely Jacksonville could have scored it as Tennessee (i.e., a coin flip). The probability of the Titans winning all four coin flips, if you will, is 1/16. Multiplying our previous value of .000000004 by .0625 yields .00000000025 or 2.5-in-10 billion.
Lastly, four touchdowns by the same team, via two interceptions and two punt returns, would not necessarily have to occur in four consecutive possessions by the victimized team. Here is a screen-capture of ESPN.com's drive chart for the Jaguars vs. the Titans.
The four drives leading to Tennessee touchdowns are denoted with blue arrows. Note also that Jacksonville's drive beginning with 33 seconds left in the first half is excluded, as there was little remaining time for anything major to happen. We are thus left with 12 Jacksonville possessions, with Tennessee's non-offensive touchdowns occurring on drives 5, 6, 7, and 8. There are many possible combinations of drives on which the four Titans' TDs could have occurred, nine of which are consecutive (e.g., 1-2-3-4, 2-3-4-5, ..., 9-10-11-12), and many additional others that are non-consecutive (e.g., 1-4-9-10, 4-6-9-11).
The total number of possible combinations can be obtained via the n-choose-k principle, in this case raising the question of how many ways can four drives (k) be selected from 12 total drives (n). Using this online calculator, we learn that there are 495 possible ways to select four objects from a total of 12. Nine of these sets are consecutive, as noted above. The probability of the four TDs occurring on four consecutive drives is thus 9/495 or .018.
We thus multiply our previous interim probability of .00000000025 by .018, yielding .0000000000045. This translates to roughly 4.5-in-1 trillion. Suffice it to say, we are unlikely to see anything like this ever again. The funny thing is, as shown in the above drive chart, Tennessee intercepted a Jacksonville pass on the Jaguars' next drive following the four touchdowns, but the interceptor didn't make a touchdown on the return. Therefore, we possibly could have had five consecutive non-offensive TDs by Tennessee.
The "Game notes" at the bottom of this ESPN.com article on the Jacksonville-Tennessee game cited two similar occurrences to what Tennessee pulled off: "The Titans also had three return touchdowns Sept. 23 in an overtime win over Detroit. Reynaud had a 105-yard kickoff return in that game [link]. ... The Seahawks had four interception returns for TDs on Nov. 4, 1984, against Kansas City in a 45-0 rout, and three different players scored those TDs [link]." I checked the records from these games and in neither case were the return touchdowns all consecutive.
As noted throughout, the above calculations have required several simplifying assumptions. Also, it's certainly possible that I made a calculation or logical error somewhere along the way. If you spot something, please let the world know in the Comments section.
The first touchdown was scored after [Tennessee's] Zach Brown intercepted [Jacksonville's] Chad Henne and ran the ball back 79 yards for a defensive touchdown. After the Jaguars offense was forced to punt on their very next possession, the punt was returned 69 yards for another touchdown by Darius Reynaud. The Jaguars offense once again took the field without a break and once again they were forced to punt and, once again, Darius Reynaud returned the punt for a touchdown, this time for 81 yards. Finally, the last touchdown was scored on another Zach Brown pick six, this time from 30 yards out.
In the remainder of this posting, I will estimate the probability of the Titans' achievement. First, what is the likelihood of two interception returns for touchdowns (also known as "pick sixes") and two punt returns for touchdowns occurring in the same game? (At this stage, we're not taking into account that all four touchdowns were scored by the same team and done consecutively.)
The "Fifth Down" blog in the New York Times just happened to have a write-up on pick sixes the other day, which provided the following statistics on this past NFL season:
- 17,788 passes were attempted.
- 71 of these passes were intercepted and brought back for touchdowns (an NFL record for one season).
We need the same kind of statistics on punt returns and, fortunately, they are readily available:
- There were 1,133 punt returns in the NFL this past seasons (excluding fair catches, in which the returner raises his hand to signal that he will not run with the ball after catching it, in exchange for not being clobbered).
- 18 punt returns resulted in touchdowns.
To estimate the probability of two pick sixes and two punt-return TDs in one game, we multiply together:
.004 X .004 X .016 X .016 = .000000004 or 4-in-1 billion.
(This calculation assumes independence of observations, that the outcome of any one play had no effect on the other plays, akin to coin tosses. However, there could be common causes amongst the plays, such as the Jaguars' offensive and special-teams players being poor tacklers.)
Next, let's tackle the issue of all four of these touchdowns being scored by Tennessee, instead of say, two by Tennessee and two by Jacksonville, or three by one team and one by the other. Let's assume, for each of the touchdowns, that it was just as likely Jacksonville could have scored it as Tennessee (i.e., a coin flip). The probability of the Titans winning all four coin flips, if you will, is 1/16. Multiplying our previous value of .000000004 by .0625 yields .00000000025 or 2.5-in-10 billion.
Lastly, four touchdowns by the same team, via two interceptions and two punt returns, would not necessarily have to occur in four consecutive possessions by the victimized team. Here is a screen-capture of ESPN.com's drive chart for the Jaguars vs. the Titans.
The four drives leading to Tennessee touchdowns are denoted with blue arrows. Note also that Jacksonville's drive beginning with 33 seconds left in the first half is excluded, as there was little remaining time for anything major to happen. We are thus left with 12 Jacksonville possessions, with Tennessee's non-offensive touchdowns occurring on drives 5, 6, 7, and 8. There are many possible combinations of drives on which the four Titans' TDs could have occurred, nine of which are consecutive (e.g., 1-2-3-4, 2-3-4-5, ..., 9-10-11-12), and many additional others that are non-consecutive (e.g., 1-4-9-10, 4-6-9-11).
The total number of possible combinations can be obtained via the n-choose-k principle, in this case raising the question of how many ways can four drives (k) be selected from 12 total drives (n). Using this online calculator, we learn that there are 495 possible ways to select four objects from a total of 12. Nine of these sets are consecutive, as noted above. The probability of the four TDs occurring on four consecutive drives is thus 9/495 or .018.
We thus multiply our previous interim probability of .00000000025 by .018, yielding .0000000000045. This translates to roughly 4.5-in-1 trillion. Suffice it to say, we are unlikely to see anything like this ever again. The funny thing is, as shown in the above drive chart, Tennessee intercepted a Jacksonville pass on the Jaguars' next drive following the four touchdowns, but the interceptor didn't make a touchdown on the return. Therefore, we possibly could have had five consecutive non-offensive TDs by Tennessee.
The "Game notes" at the bottom of this ESPN.com article on the Jacksonville-Tennessee game cited two similar occurrences to what Tennessee pulled off: "The Titans also had three return touchdowns Sept. 23 in an overtime win over Detroit. Reynaud had a 105-yard kickoff return in that game [link]. ... The Seahawks had four interception returns for TDs on Nov. 4, 1984, against Kansas City in a 45-0 rout, and three different players scored those TDs [link]." I checked the records from these games and in neither case were the return touchdowns all consecutive.
As noted throughout, the above calculations have required several simplifying assumptions. Also, it's certainly possible that I made a calculation or logical error somewhere along the way. If you spot something, please let the world know in the Comments section.
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