Probability of making a game-losing move as a function of Elo? BlindKungFuMaster and I are having a debate (http://chat.stackexchange.com/rooms/34484/discussion-between-blindkungfumaster-and-jeff-y) and it got me wondering: Given any position that can be agreed as "about equal", what is the probability that a given player would make a game-losing move on any single move, as a function of his or her rating? I am asking independent of the opponent's strength, i.e. whether or not the opponent actually exploits the mistake to win the game.

Clearly, games are lost, even by Grandmasters, even by the very best. So (presuming Chess is a theoretical draw from the start position) even they make game-losing moves on occasion. So the probability in question is clearly not zero even at Elo 2800. How high would that probability be at, say, 2000, 1800, 1500, 1200 ratings, approximately? At what rating would said probability be approximately 50%? Is this something that can be definitively calculated in some fashion based on the definition of Elo and the average number of moves per game? Or would any answer be pure guesswork?

Update:

I've extracted all games from ChessBase's BIG99 database of 1,114,429 games where one player's Elo is 2500 or more and the other player's Elo is 2100 or less. There are 945 such games. After filtering out the upsets (surprisingly there are 79 win upsets and 102 draw upsets), below is the chart of ply-count vs. Elo. The darker series is where the loser played black, the lighter series is where the loser played white. Seems to be a horn-of-plenty type of shape.
Coincidentally I already answered exactly this question in response to a similar question.

Edit: This similar question was about frequencies of blunders in games, which made the analysis somewhat misleading when directly applied to this question. Originally I looked for blunders from equal positions per game move, which made the results a bit confusing because there was the unknown variable of how many equal positions you actually get per game move. So I redid the analysis for blunders per equal position which is a lot more appropriate in this context.

I happen to have a dataset with 25000 games with stockfish evaluations after every move. This allows to actually look for blunders in equal positions, which is what I did. 

Blunders from an equal position (-1.00 &lt; eval &lt; 1.00) are relatively rare, even among weaker players. That is not particularly surprising, because we tend to leave the equality region in little steps during the opening and the blunders come when we are under real pressure and low on time.

I ran the analysis dependent on the strength of the opponent as well, to show that stronger opponents actually lead to more blunders even in equal positions. The stronger opponents in the analysis are more than 100 Elo points higher rated, the weaker 100 points lower rated. Players of all strength blunder more often against stronger opponents from equal positions than against weaker opponents.

Elo: 1500: 100cp Blunder every 26.4655172414 equal positions.
Elo: 1500: 100cp Blunder every 26.1266149871 equal positions against stronger players.
Elo: 1500: 100cp Blunder every 33.3684210526 equal positions against weaker players.

Elo: 1600: 100cp Blunder every 28.8888888889 equal positions.
Elo: 1600: 100cp Blunder every 28.3083832335 equal positions against stronger players.
Elo: 1600: 100cp Blunder every 37.12 equal positions against weaker players.

Elo: 1700: 100cp Blunder every 34.7788649706 equal positions.
Elo: 1700: 100cp Blunder every 34.0448933782 equal positions against stronger players.
Elo: 1700: 100cp Blunder every 39.7709923664 equal positions against weaker players.

Elo: 1800: 100cp Blunder every 34.9866156788 equal positions.
Elo: 1800: 100cp Blunder every 33.1406015038 equal positions against stronger players.
Elo: 1800: 100cp Blunder every 45.3865546218 equal positions against weaker players.

Elo: 1900: 100cp Blunder every 40.1570101725 equal positions.
Elo: 1900: 100cp Blunder every 38.315761729 equal positions against stronger players.
Elo: 1900: 100cp Blunder every 49.9418282548 equal positions against weaker players.

Elo: 2000: 100cp Blunder every 44.4308207705 equal positions.
Elo: 2000: 100cp Blunder every 41.5676238036 equal positions against stronger players.
Elo: 2000: 100cp Blunder every 56.3524305556 equal positions against weaker players.

Elo: 2100: 100cp Blunder every 52.5946657886 equal positions.
Elo: 2100: 100cp Blunder every 49.5823737821 equal positions against stronger players.
Elo: 2100: 100cp Blunder every 61.1668806162 equal positions against weaker players.

Elo: 2200: 100cp Blunder every 61.3163636364 equal positions.
Elo: 2200: 100cp Blunder every 56.0916284881 equal positions against stronger players.
Elo: 2200: 100cp Blunder every 75.2474916388 equal positions against weaker players.

Elo: 2300: 100cp Blunder every 69.6490486258 equal positions.
Elo: 2300: 100cp Blunder every 60.9148185484 equal positions against stronger players.
Elo: 2300: 100cp Blunder every 90.0941176471 equal positions against weaker players.

Elo: 2400: 100cp Blunder every 78.8800318852 equal positions.
Elo: 2400: 100cp Blunder every 67.7366828087 equal positions against stronger players.
Elo: 2400: 100cp Blunder every 100.431924883 equal positions against weaker players.

Elo: 2500: 100cp Blunder every 97.320568252 equal positions.
Elo: 2500: 100cp Blunder every 84.8542336549 equal positions against stronger players.
Elo: 2500: 100cp Blunder every 114.45814978 equal positions against weaker players.

Elo: 2600: 100cp Blunder every 110.2421875 equal positions.
Elo: 2600: 100cp Blunder every 97.9315068493 equal positions against stronger players.
Elo: 2600: 100cp Blunder every 127.470948012 equal positions against weaker players.

Elo: 2700: 100cp Blunder every 95.7817109145 equal positions.
Elo: 2700: 100cp Blunder every 78.6981818182 equal positions against stronger players.
Elo: 2700: 100cp Blunder every 167.296875 equal positions against weaker players.


So for a table of estimated probability of blunder on any given single move:

Elo 1500-1599:  0.0378
Elo 1600-1699:  0.0346
Elo 1700-1799:  0.0288
Elo 1800-1899:  0.0286
Elo 1900-1999:  0.0249
Elo 2000-2099:  0.0225
Elo 2100-2199:  0.0190
Elo 2200-2299:  0.0163
Elo 2300-2399:  0.0144
Elo 2400-2499:  0.0127
Elo 2500-2599:  0.0103
Elo 2600-2699:  0.0091
Elo 2700-2799:  0.0104


An approximation formula: p = (0.323 - 0.0850 * Elo / 1000) ^ 2