1. Cricket is proof that God loves us and wants us to be happy (Stephen Fry)

2. FOOTBALL offers the world clichés; RUGBY produces facial deformity; HOCKEY provides an acceptable outlet for psychotic violence; CRICKET alone breeds myths... More quotes here.

**Batting Contribution**

(This requires a player to have played at least five games in a season, so early, current season, queries will not work)

**So how does this work? Short Version**

It's a measure of how a player performs relative to the others in a particular game (x100 to make it all readable). The basic algorithm is the players runs (irrespective of out or not out) as percentage (ratio) of the total runs (inc extras) in a specific game. Then these ratios are themselves averaged over a season (min 5 games to qualify). For interest we also show the raw runs average (i.e. both outs and not outs). It's quite possible to score a lot of runs (have a highish raw runs average) but contribute slightly less, if you mainly score your runs in high scoring games.

All things being equal, a player should score 1/12 of the runs each game (assuming a few extras) to have a neutral contribution, so about 8 is a reasonable benchmark for an average contribution.

The key thing about BC is that it takes account of whether the runs have been scored in a high or low scoring game (and thus, to an extent, the quality of the opposition etc.)

But remember, all stats are limited in what they show, and no more is that true than in cricket!

**Here's a worked example**

Player A gets 70 in a 200 run game, his BC is 70/200 (x 100) thus 35

Player B gets 35 in a 80 run game, his BC is 35/80 (x100) thus 43.75

We also look at another stat: the total runs scored (this includes not outs, so it's not the same as average) - in the example above Player A is 70 and B 35. So we see whilst A is more prolific scorer, B in fact contributed more.

To get an idea of running performance over, say a season, we then average the games, so adding one more game each:

Player A gets 20 in a 120 run game, his BC is 20/120 (x 100) thus 16.7

Player B gets 40 in a 160 run game, his BC is 40/160 (x100) thus 25

We then do a simple average:

Player A Runs: 70+20 = 90 average 45. BC 35 + 16.7 = 41.7 (/2) = 25.9

Player B Runs: 35+40 = 75 average 37.5. BC 43.75 + 25 = 68.7 (/2) = 34.3

Thus we can see that whilst A has a better raw average (scored more runs) he contributed slightly less: that's because his runs were scored in higher scoring games 320 v 240)