Sunday, 23/08/2026 at 14:15
Full timeDynamo Moscow 3:1 Rodina Moscow
Dynamo Moscow were the model's likeliest winner before kick-off at 46%. They won 3–1.
The model against the result
- Dynamo Moscow
- 46% What happened
- Draw
- 27%
- Rodina Moscow
- 27%
Data coverage The model has never seen one of these sides play. Every figure here rests on an exactly average stand-in for it, which is a guess in a projection's clothes.
Recent form
1.38 xG created 1.51 xGA
- D 2.46 created, 0.66 conceded against Pari Nizhny Novgorod
- L 1.43 created, 1.65 conceded against Rubin Kazan
- W 1.72 created, 0.98 conceded against FC Sochi
- D 0.44 created, 2.04 conceded against Lokomotiv Moscow
- W 1.31 created, 1.32 conceded against FK Krasnodar
- W 0.91 created, 2.40 conceded against Baltika Kaliningrad
No match with expected goals behind it yet.
xG created xG conceded (xGA) W / D / L: the match result
Pre-match model & market record
2 opportunities flagged0 won2 lost
- Lost
- Lost
View pre-match record Hide pre-match record
| Selection | Price | Edge | Result |
|---|---|---|---|
| Rodina Moscow to win | 7.71 | +105.4% | Lost |
| Draw | 5.18 | +41.4% | Lost |
Pre-match model vs market
| Outcome | Model | Market | Difference | Fair odds |
|---|---|---|---|---|
| Dynamo Moscow | 46.1% | 69.6% | −23.5 pp | 2.17 |
| Draw | 27.3% | 18.2% | +9.1 pp | 3.66 |
| Rodina Moscow | 26.6% | 12.2% | +14.4 pp | 3.75 |
Prices and probabilities are the ones stored before kick-off; nothing here is recalculated. Edge is the model's probability times the price, minus one, so a flagged outcome that lost is the ordinary case rather than a contradiction.
Model details
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- Fit window
- the last 20 matches, recency weighted (a match 107 days old counts half)
- Dynamo Moscow sample
- 20 matches
- Rodina Moscow sample
- 0 matches
- Computed
- 21 minutes before kick-off
- Prices taken
- 2 days before kick-off
Warnings
- There is not a single played match in the database for Rodina Moscow — the estimate for that side is the league average and nothing else.
Limitations
The model reads expected goals and nothing else. It does not know the lineups, who is injured or suspended, what either side has to play for, the weather, or how congested the schedule around this match is.