This puzzled me, too, for a couple of reasons. Now that it seems to make sense, I'm offering another view of it:
Code: Select all
OT all each 48/5 adj
1 .0973 .0973 .934 .969
2 .1957 .0984 .945 .980
3 .2937 .0980 .941 .976
4 .4380 .1443 1.385 1.437
In 4th-overtimes, I guess all good defenders have fouled out.
"all" is the per-minute fraction of regulation-time points scored in the overtimes. Same number as in the opening post.
"each" is just the average single overtime: .1957 - .0973 = .0984 (for 2nd OT)
"48/5" is the per-minute overtime scoring avg relative to the regulation (48 minute) average.
But a 12-minute period is more efficient than a 5-minute period of play, in general; because there are discrete possessions, and a full 24-second possession is more valuable (efficient) than a fraction of that interval.
In 12 minutes, you may see avg 24 "possessions" by each team. In reality, suppose one team gets the ball with 12 seconds on the clock at the end of the quarter (or overtime).
Suppose further that the efficiency of half-a-possession is about half that of a full possession.
Now we may suppose that a 12-min. quarter contains 23.5 possessions, and a 5-min. OT has 9.5
In other words, while the ratio of minutes is 5/48 -- .1042 -- the ratio of possessions is more like 9.5/94 -- .1004
The difference is small, but it's something. A game that's 100-100 in regulation can expect to see 20 points scored in another 5 minutes, rather than 21.
The final column in the table, "adj" is adjusted to reflect that. It's the previous column *1042/1004
The possessions/minutes "inefficiency" seems to account for almost half of the reduced scoring rates in overtimes, with the arbitrary parameters I used.