FAQ

Frequently Asked Questions (Last Updated February 18, 2017)

General Questions

Does anyone use this silly site?

I’m glad you asked. Only the likes of ESPN, MLB.com, NBA.com, NHL.com, Sports Illustrated, TSN, CBS Sports, NBC Sports, USA Today, The Hockey News, etc., etc. use my data. Take a look.

I currently have 3411 registered users on the site.

Do you sell your raw injury data?

Yes I do.  Contact me for pricing. The site displays analyses of the injury data and not the data itself.

What is IIT? What is TMITT?

IIT (Injury Impact to Team) used to be called TMITT (Time Missed Impact To Team), which frankly was too many letters for some people to handle. Yes, it’s true. So, TMITT was renamed IIT.

IIT is a single-value metric that attempts to quantify the impact of a player not playing for their team due to injury.

What is “Man-Games Lost”?

Man-Games Lost is a term that refers to the cumulative loss of players (primarily due to injury) for a sports team. It is analogous to the terms “games missed due to injury” or “games lost to injury” used in many professional sports.

The term ‘man-games lost’ is most commonly used to refer to injuries in hockey (the National Hockey League) and football (soccer for the Canadians and Americans) but it is gaining traction in its use in other professional sports leagues. Every game that a player misses due to an injury counts as one man-games lost for his team.

Subscriptions

What articles can I view for free?

Any article for a sport that is currently in the regular season at the time. Once the regular season ends the article requires a paid subscription to view.

Why can’t I see some posted articles on the site? I need a subscription?

Yes, for free-access articles you will require a free subscription to view them. It is a simple email registration. For paid-access articles you will require a paid subscription to see them.

Articles in-season for any sport are typically free to access and view. Once the season ends, they become paid-access only. Archived season data and multi-year analyses will also require a paid subscription to view.

The cost for paid-access is very low relative to the effort I’ve put in to the site over the past 6 years. Currently it costs $5 for a 1-year subscription. That’s about 1.3 cents a day. I think it’s a good deal! Costs can change at any time.

I bought a subscription. Why can’t I view paid-access articles?

If you have recently purchased a subscription and are having trouble viewing free-access or paid-access articles, the issue is frequently solved by clearing your browser’s cache.

If you don’t want to completely clear your browser cache, on a PC you can try pressing CTRL + F5 to clear a single web page from your browser cache. If you continue to experience difficulty please contact us.

Also, please ensure the content you are trying to view falls within the subscription type you are currently registered for.

National Hockey League (NHL)

What do “Injured Man-Games Lost”, “Did Not Dress”, “Did Not Play”, “Suspended” and “In Minors” represent? How is it calculated?

This NHL injury data is manually compiled and tracked by me (as of 2012-2013 season).

  • Injured Man-Games Lost (INJ or MGL) = player missed game due to injury, injury recovery, or illness
  • Did Not Play (DNP) = player was a healthy scratch for the game, or was the backup goalie, and did not play
  • Did Not Dress (DND) = player was unavailable for personal reasons (family event, immigration issue, personal event)
  • Suspended (SUS) = player missed game since he was suspended by the team and/or the league, with or without pay
  • Minors (MIN) = player had been assigned to the team’s minor league affiliate and did not play

What is IIT? How is it calculated for the NHL?

Injury Impact To Team (IIT) is a single-value metric that attempts to quantify the impact of a player not playing for their team due to injury. It weights injured NHL players and their time missed based on how much playing time they would have had if they were healthy (or it is based on their relative Corsi (CFrel%) for the IIT-cfrel metric). Coaches (good ones) play ‘better’ players more, and not vice versa.

IIT-skater and IIT-goalie utilize a skater’s average time on ice (ATOI) or minutes played for goalies, the number of games missed due to injury, the number of games played by their team, and the number of games that the player has played in (necessary in calculations due to players who aren’t on the team’s roster or IR at all times i.e. AHL call-ups, free agent signings).

A higher IIT number equals a greater impact of injured players to the team. A high IIT value for a player reflects a high average of playing time, a high number of games missed due to injury, or both combined. The exact number is not as important as the basic range, relative to other players. This is the case with most metrics in the analytics of sport performance.

For players who haven’t yet played in a current season, I use their previous season ATOI to calculate IIT-skater. ATOI for players is assumed to be fairly stable across seasons, unless they’ve changed teams.

For IIT-cfrel, I do not use previous season CFrel% for players who haven’t yet played in the current season. It is a more volatile metric. So, no IIT-CFrel calculation for those players.

Using the number of games a player has played in for IIT purposely devalues players who miss more than half the season, since their teams are better able to adapt to their loss as the season progresses beyond a 41 game absence.

IIT-skater = (PlayerGamesPlayed x ATOI x PlayerGamesInjured) / TeamGamesPlayed

IIT-goalie = (PlayerGamesPlayed x MinutesPlayed x PlayerGamesInjured) / TeamGamesPlayed

IIT-cfrel = (PlayerGamesPlayed x CFrel% x PlayerGamesInjured) / TeamGamesPlayed

At the team level, the IIT metrics represents the sum of all the IIT-skater, -goalie, or -cfrel values for injured players on the team.

What is CMIP? How is it calculated?

CMIP (Cumulative Minutes of Injured Players) sums the amount of time a player would have played if they weren’t injured. It represents the amount of playing time, in minutes, that a team has lost due to a player being injured. At the team level, CMIP represents the sum of all the time missed by injured players on the team.

To do this, their average time on ice in the games they’ve played so far in the season is simply multiplied by the number of games they’ve missed due to injury. This metric was pioneered by Rob Vollman of HockeyAbstract.com.

CMIP = PlayerATOI x PlayerGamesInjured

For the 2009-10 season, what does “Man-Games Lost (Team Reported)” represent? How is it calculated?

The NHL man-games lost numbers for my data in the 2009-2010 season was not calculated by me. The reported numbers were the official, team-reported Man-Games Lost numbers for each team as of their last game. This is data registered and compiled by NHL Central Registry and available to the teams to include in their game day notes throughout the season.

 For the 2009-10 season, why is the ‘Man-Games Lost’ numbers different from the ‘Injured’ numbers in the data tables?

For most teams and their reporting, Man-Games Lost = Injuries + Illnesses + Suspensions + LTIRs. Some teams exclude illnesses, suspensions, and/or long-term-injured-reserve players (LTIRs) from their man-games lost report, some don’t.

  • Some teams count an illness as an injury, but not a man-game lost, or vice versa.
  • Some teams don’t include LTIR players in their Man-Games Lost counts. Thus, the discrepancy between Man-Games Lost and my Injured counts for some teams.

Several teams often report players as ‘DND’ (Did Not Dress) or ‘DNP’ (Did Not Play) when it’s widely known the player is injured – another reason I now track these player statuses on my own, not relying on the teams’ reporting methods.

LTIR players who have yet to play in a game this year pose a problem. Since they have no current-season statistics, including ATOI, I utilize their previous season ATOI (if they have one).

National Football League (NFL)

What do the Out (Doubtful, Questionable, Probable but didn’t play), IR (Injured Reserve), PUP (Physically Unable to Perform) numbers represent for the NFL? How are they calculated?

The player status for NFL injury data is not determined by me. These numbers are the team-reported numbers for each team as of their last game. They are each cumulative counts of injured players who don’t step on the field during a game. If nothing is listed for a player in my updates, he was not on the injury report for a specific week.

What is IIT-av? IIT-wav? How is it calculated for the NFL?

Injury Impact To Team (IIT) is a single-value metric that attempts to quantify the impact of a player not playing for their team. It weights injured players and their time missed based on their value to their team and the proportion of their teams’ games that they’ve missed.

IIT utilizes a player’s number of games missed due to injury, the number of games played by their team, and either their current Weighted Career Approximate Value metric (WAV metric as calculated by Pro-Football-Reference.com) for IIT-wav, or their Approximate Value metric (AV from same source as WAV) for IIT-av. Thus the metrics IIT-wav and IIT-av are calculated.

AV values for a season are calculated at season-end, so until the end of the season IIT-av is calculated using the previous season’s AV values. At season-end when the current season AV values are calculated I update articles to incorporate the newly available AV values. If a player hasn’t played in a game all season, then I try to use their previous season AV value, if available.

A higher IIT number equals a greater impact of missing players to the team. A high IIT value for a player reflects a high number of games missed due to injury, a high WAV or previous season AV value, or a combination of both. The exact number is not as important as the basic range, versus other players. This is the case with most statistics in the analytics of sport performance.

NFL IIT-av or NFL IIT-wav = (Approximate Value Metric x PlayerGamesInjured) / (16 x TeamGamesPlayed)

What injury and IIT calculations do you make for the NFL? What are they?

  • Out (Team Reported) – Team reported cumulative count of players who did not play in a game that had been previously reported as probable, questionable, or doubtful.
  • IR (Team Reported) – Team reported cumulative count of games missed per player who were listed by a team as being on injured reserve.
  • PUP (Team Reported) – Team reported cumulative count of games missed per player reported as physically unable to play by their team.
  • Total Injured – Sum of Out, IR, and PUP counts for a player/team. It excludes games missed by suspended players.
  • IIT-wav – Injury Impact to Team metric based on Weighted Career Approximate Value (WAV metric) and number of games missed.
  • IIT-av – Injury Impact to Team metric based on Approximate Value (AV) from the previous season, and number of games missed.

 Major League Baseball (MLB)

What do the Total Games Injured (TGI) numbers represent? How are they calculated?

Total Games Injured (TGI) – The MLB injury data is not calculated by me. This number is the official, team-reported Disabled List games missed (7-DL, 15-DL, and 60-DL) for each team’s roster as of their last game. This disabled-list transaction data is taken directly from MLB.com.

An injured player missing 1 game is counted as 1 game missed for the team.  It’s a cumulative count of injured players who don’t play in a game.

What is Lost-war for MLB? How is it calculated?

My player quality metrics now base the quality of a player on their WAR (Wins Above Replacement) scores as calculated by Baseball-reference.com.

Lost WAR is calculated as the WAR(expected)- WAR(actual) for each player. At the team level, it is summed from the individual values for each player on each team.

Injured position players who have played less than 7 games in a season, and injured pitchers who have played less than 4 games in a season, have their Lost-war value calculated as the proportion of their previous season’s WAR that has been lost so far based on their team’s games played.

Assuming MLB Lost-war = WAR(expected) – WAR(actual)

then WAR(expected) for position players = ((WAR/PlayerGamesPlayed)*(PlayerGamesPlayed + PlayerGamesInjured))

and WAR(expected) for pitchers = ((WAR/PlayerGamesPlayed)*(PlayerGamesPlayed + PlayerGamesInjured/4))

and MLB Lost-war is then the difference between WAR(Expected) and WAR.

Will Lost-war be calculated for previous MLB seasons that don’t yet have it posted?

Yes, once the final Lost-war metric is finalized it will be applied retroactively to previous season data.

What is IIT-war? How is it calculated for MLB?

Injury Impact To Team (IIT) is a single-value metric that attempts to quantify the impact of a player not playing for their team due to injury.

IIT-war is based on several assumptions.

  • Players used in the analysis are all players who have appeared on any team’s official 40-man roster throughout the current season, whether they have been injured for any amount of time or not.
  • Current season Wins Above Replacement ratings (WAR as calculated by Baseball-Reference.com) are used. If a player has no current season WAR ratings (i.e. they haven’t played in the current season) their previous season WAR values are used (if available).
  • For players who haven’t played a current season game, their WAR value from the previous season is averaged over a 162-game period, and multiplied by the current season number of games missed due to injury, regardless of how many games they played in previous season (there are issues here, I know).
  • A player spending time on the 7-, 15-, or 60-DL is considered ‘Injured’ and unavailable to the team. At this point, a player not on the DL is considered ‘Available’ to the team, regardless of their playing status.
  • Players not Available (see criteria in point above) for a minimum of 7 games of their team’s 162 game schedule (typically 1 week of the season) have their WAR value divided by 162 rather than the base formula given below. This reduces some wacky results where players playing only 1-5 games for their team, and accumulating a WAR value, completely skew their team’s IIT-war values (both negative WAR values and positive WAR values).

(as of March 10, 2016)          IIT-war = (WAR  / (TeamGamesPlayed – PlayerGamesInjured)) x PlayerGamesInjured

A higher IIT number equals a greater impact of injured players to the team. A high IITvalue for a player reflects a high WAR rating, a high number of games missed due to injury, or a combination of both.

The exact number is not as important as the basic range, versus other players. This is the case with most statistics in the analytics of sport performance.

TMITT-total (and IIT-total) is an archived analysis that is no longer in use on this site. It weighted injured players and their time missed based on how much playing time they would have had if they were healthy. This assumes coaches (good ones) play ‘better’ players more, and not vice versa. TMITT total is a sum of TMITT-batting – utilizing average PAs per game, TMITT-pitching – utilizing average IPs per game, and TMITT-fielding – average innings fielded per game.

 National Basketball Association (NBA)

What do the Injured, Inactive, Did Not Play, Did Not Dress, Suspended, and In Minors numbers represent for the NBA? How are they calculated?

The NBA injury data is now manually compiled and tracked by me (as of 2015-2016 season). My 2012/13 to 2014/15 season data will soon be updated with this new analysis methodology.

These numbers are the reported players statuses for each team as of their last game. It’s a cumulative count of players who don’t step on the court during a game, and the reason.

  • Injured (INJ) = player missed game due to injury, injury recovery, or illness
  • Did Not Play or Inactive (DNP/INA/MIN) = player was inactive, or a coach’s decision or unavailable for the game, or suspended, or assigned to the D-League, and did not play.
  • Did Not Dress (DND) = player was unavailable for personal reasons (family event, immigration issue, personal event)
  • Suspended (SUS) = player missed game since he was suspended by the team and/or the league, with or without pay

What injury calculations do you make for the NBA? What are they?

  • Lost-vorp – Quantified impact to team of games missed by a player due to injury due to their lost VORP.
  • IIT-vorp – Quantified impact to team of games missed by a player due to injury weighted by the number of games they’ve missed, their Value Over Replacement Player (VORP), the number of games played by their team, and the number of games they’ve played.

What is Lost-vorp? IIT-vorp? How are they calculated for the NBA?

My player quality metrics now base the quality of a player on their VORP (Value Over Replacement Player) scores as calculated by Basketball-reference.com. VORP, in turn, is derived from the Box Plus/Minus (BPM) metric. Previous to my 2015/16 season data for NBA, my metrics were calculated using the average playing time of players in a game.

Lost VORP is calculated as the VORP(expected)- VORP(actual) for each player. At the team level, it is summed from the individual values for each player on each team.

Assuming NBA Lost-vorp = VORP(expected) – VORP(actual)

so if VORP(actual) = (BPM + 2) x (PlayerTotalMinutes/(TeamGamesPlayed x 48)) x (TeamGamesPlayed/82) which boils down to

VORP(actual) = ((BPM + 2) x PlayerTotalMinues)/3936

then VORP(expected) = ((BPM + 2) x PlayerTotalMinues x (PlayerGamesPlayed + PlayerGamesInjured))/3936

and NBA Lost-vorp is then the difference between those two.

Injury Impact To Team (IIT) is a single-value metric that attempts to quantify the impact of a player not playing for their team. It weights injured players and their time missed based on the VORP performance metric, as well as the number of games missed due to injury, and the number of games played by their team.

A higher IIT number reflects a greater impact of missing players to the team. A high IIT value for a player reflects a higher VORP, a high number of games missed due to injury, or both combined. The exact number is not as important as the basic range, versus other players. This is the case with most statistics in the analytics of sport performance.

For NBA IIT-vorp = (PlayerGamesPlayed x PlayerGamesMissed x PerformanceMetric) / TeamGamesPlayed

Football/Soccer Leagues

I no longer compile data and analyze football/soccer data. This may change given renewed demand or specific requests from companies and/or organizations that wish to own this data.