CS2 Live Map Score Odds: Win and Overtime From 10-10 (Model)
A model study of late CS2 map scores: how often 12-8, 11-9, 10-10 and 11-11 finish in regulation, go to overtime or flip, with fair odds for the leader.
In a model CS2 map, if the live score is 12-8, 11-9, 10-10 or 11-11, how often does each team win in regulation and how often does the map reach overtime?
- A96.9%Leader wins from 12-8, even teams (model)
- B37.5%From 10-10, map goes to overtime (model)
- C50.0%From 11-11, map goes to overtime (model)
- D77.0%11-9 leader on T, CT bias 4 (model)
Model studyEvery number on this page is calculated from the rules of the sport and stated assumptions. These are not historical match results.
Most of my live CS2 betting happens deep in the second half, when the scoreboard looks decisive and the price often isn't. So I wanted a clean answer to one question: what is a late score actually worth? This is a model study, exact maths on an MR12 map with assumed round chances, not a record of real matches.
The headline: in this model, a 10-10 map splits 31.2% Team A in regulation, 37.5% overtime and 31.2% Team B, so overtime is the most likely single branch. A 12-8 leader wins 96.9%, but a CT-sided map drags an 11-9 leader stuck on T down to 77.0%. Once a map is live at any of these scores, the pre-game line can no longer be bet, so these are in-play reference prices. They sit alongside the form and map-pool work on my esports betting tips page.
Branch ALevel at 10-10, overtime is the likeliest single branch
Each bar splits a live score into three outcomes between even teams. At 10-10 the model gives 31.2% for a Team A win in 24 rounds, 37.5% for overtime and 31.2% for Team B. Push it to 11-11 and the next two rounds decide everything: overtime 50.0%, each side 25.0% in regulation.
That matters because plenty of bettors treat a level late score as a coin toss on the map winner and forget the third branch. If you are pricing an overtime market, the model says level scores at this stage carry far more of it than intuition suggests.
View the data: from a live score: regulation win, ot or loss
| A wins in 24 rounds | Overtime | B wins in 24 rounds | |
|---|---|---|---|
| 12-8 | 93.8% | 6.2% | 0.0% |
| 12-10 | 75.0% | 25.0% | 0.0% |
| 11-9 | 68.8% | 25.0% | 6.2% |
| 10-10 | 31.2% | 37.5% | 31.2% |
| 11-11 | 25.0% | 50.0% | 25.0% |
| 9-11 | 6.2% | 25.0% | 68.8% |
| 10-12 | 0.0% | 25.0% | 75.0% |
Leads change the shape fast. From 12-10 the leader wins in regulation 75.0% and the map goes to overtime 25.0%, with no regulation loss possible. From 11-9 it is 68.8% win, 25.0% overtime and only 6.2% for the trailer to close it out in 24 rounds.
Branch BA two-round lead grows more valuable as rounds run out
The heatmap shows Team A's map win from every late score in the model, with even teams on a neutral map. Follow the two-round leads along the diagonal: 8-6 converts 72.6%, 10-8 converts 77.3% and 12-10 converts 87.5%. Same margin, fewer rounds left for the trailer to recover.
The top row is the team on 12, needing one round. From 12-6 it wins 99.2%, from 12-11 only 75.0%, because one lost round there means overtime rather than a loss. I see live prices treat 12-anything as finished far too often.
Rounds independent at 50%; 12-12 goes to overtime (50% each).
View the data: map win chance from a live cs2 score
| B on 6 | B on 7 | B on 8 | B on 9 | B on 10 | B on 11 | B on 12 | |
|---|---|---|---|---|---|---|---|
| Team A on 12 | 99.2% | 98.4% | 96.9% | 93.8% | 87.5% | 75.0% | 50.0% |
| Team A on 11 | 96.5% | 93.8% | 89.1% | 81.2% | 68.8% | 50.0% | 25.0% |
| Team A on 10 | 91.0% | 85.5% | 77.3% | 65.6% | 50.0% | 31.2% | 12.5% |
| Team A on 9 | 82.8% | 74.6% | 63.7% | 50.0% | 34.4% | 18.8% | 6.2% |
| Team A on 8 | 72.6% | 62.3% | 50.0% | 36.3% | 22.7% | 10.9% | 3.1% |
| Team A on 7 | 61.3% | 50.0% | 37.7% | 25.4% | 14.5% | 6.2% | 1.6% |
| Team A on 6 | 50.0% | 38.7% | 27.4% | 17.2% | 9.0% | 3.5% | 0.8% |
Read it from the trailer's side too. A 9-11 deficit still turns into a win 18.8% of the time in this model, which is roughly one map in five, not a lost cause.
Branch CRound strength moves the 10-10 winner, not the overtime chance
Here the model holds the score at 10-10 and varies Team A's base round chance. A team at 54% wins 60.0% of model maps on a neutral map; at 46% it wins 40.0%. A small round edge widens noticeably over a short finish.
The overtime line barely bends: 37.5% for even teams and still 34.6% when Team A's round chance is 40%. Even a clear mismatch at 10-10 leaves overtime roughly a one-in-three event in this model.
X axis = Team A's base round win chance. "On T with CT bias 4": A plays T rounds at base − 4 points.
View the data: from 10-10: map win by round strength
| Map win, neutral map | Map win, on T with CT bias 4 | Overtime reached, neutral | |
|---|---|---|---|
| 40% | 26.5% | 21.5% | 34.6% |
| 42% | 30.7% | 25.4% | 35.6% |
| 44% | 35.3% | 29.7% | 36.4% |
| 46% | 40.0% | 34.3% | 37.0% |
| 48% | 45.0% | 39.1% | 37.4% |
| 50% | 50.0% | 44.0% | 37.5% |
| 52% | 55.0% | 49.0% | 37.4% |
| 54% | 60.0% | 54.1% | 37.0% |
| 56% | 64.7% | 59.0% | 36.4% |
| 58% | 69.3% | 63.7% | 35.6% |
| 60% | 73.5% | 68.2% | 34.6% |
The middle line adds side. On a map with 4 points of CT bias, an even team playing the T half from 10-10 wins 44.0% instead of 50.0%. Who is on CT for the closing rounds is not a footnote.
Branch DFair odds for a second-half leader stuck on T
The table converts each lead into a fair price, with the leader having started CT and now playing T. On a neutral map, 12-8 sits at 1.03 and 12-9 at 1.07 with 12.5% overtime. Add CT bias 4 and the cost of being on T shows up most in the narrower leads.
An 11-9 leader converts 81.2% at a fair 1.23 on a neutral map, but 77.0% at 1.30 on a CT-sided one. From 10-9 the gap is wider still: 65.6% at 1.52 against 59.2% at 1.69. If a live price ignores side, that is where I look.
| Live score | Leader wins (neutral) | Fair | Leader wins (CT bias 4) | Fair | OT chance (neutral) |
|---|---|---|---|---|---|
| 12-8 | 96.9% | 1.03 | 95.7% | 1.04 | 6.2% |
| 12-9 | 93.8% | 1.07 | 92.1% | 1.09 | 12.5% |
| 12-10 | 87.5% | 1.14 | 85.4% | 1.17 | 25.0% |
| 11-9 | 81.2% | 1.23 | 77.0% | 1.30 | 25.0% |
| 11-10 | 68.8% | 1.45 | 64.1% | 1.56 | 37.5% |
| 10-8 | 77.3% | 1.29 | 71.4% | 1.40 | 23.4% |
| 10-9 | 65.6% | 1.52 | 59.2% | 1.69 | 31.2% |
The main caveat, in my words: real rounds are not independent. Economy swings, timeouts and saved weapons shift round chances late in a half, so treat these model figures as a baseline to adjust, not a price to copy.
If this happens…
At 10-10 the model sends 37.5% of maps to overtime and at 11-11 it is 50.0%. Check overtime markets before assuming a level score is a simple coin toss.
With CT bias 4, a 10-9 leader on T drops from 65.6% to 59.2%. Note which side the leader is finishing on before backing the scoreline.
A team on 12 needing one round wins 75.0% from 12-11 in this model, against 99.2% from 12-6. Late one-round leads at 12 are worth far less than they look.
Questions bettors ask
How often does a CS2 map go to overtime from 10-10?
In this model, between even teams, a 10-10 map reaches overtime 37.5% of the time. Even with a 40% round chance for one side, overtime still comes up 34.6% of the time.
What are fair odds for a team leading 12-8 on a CS2 map?
The model gives the 12-8 leader a 96.9% win chance between even teams, a fair price of 1.03. On a CT-sided map with the leader on T it is 95.7%, or 1.04.
Can a team come back from 9-11 in CS2?
In this model a 9-11 deficit turns into a map win 18.8% of the time between even teams. Most of that comes through overtime, which follows 25.0% of the time from that score.
I'm Wei Lin Tan, based in Shanghai, and I write the esports betting tips at cricketscoretips.com — covering the major titles where form and meta turn over fast.
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