Dynamo 0-0 Krylia Sovetov – Result & Analysis
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Poisson model favours Dynamo (56%) — form and H2H data both point in the same direction as Dynamo face Krylia Sovetov.
✍️ Match Preview
Match Analysis
Dynamo host Krylia Sovetov at VTB Arena in Premier League, Regular Season - 1. Kick-off is scheduled for Saturday 25 July 2026 at 11:00 UTC.
Form Analysis
Looking at all fixtures this season, Dynamo stand at 5W 3D 2L from 10 Premier League matches — 1.80 PPG. Last five: L W D W W. Offensively they are averaging 1.60 goals per game, with 1.30 conceded. 2 clean sheets from 10 outings provides some defensive foundation. Both teams have scored in 70% of their games — a high BTTS rate that carries real weight in the goals markets. Dynamo haven't played a Premier League game yet this season, so this record is entirely from last season.
Dynamo at VTB Arena this season: 4W 2D 4L from 10 home games — 1.40 PPG on home soil. They are averaging 2.10 goals per home game — a prolific scoring rate in front of their own fans. BTTS has landed in 60% of their home matches — a rate that supports the Yes angle in this fixture.
Across all Premier League games this season, Krylia Sovetov have recorded 3W 3D 4L from 10 outings — 1.20 PPG. Last five: L W W L W. Their scoring rate of 1.30 per game is modest, conceding 1.30 — not a side to back heavily on the Over 2.5 from their form alone. 2 clean sheets from 10 outings suggests some defensive organisation. Both teams have scored in 60% of their games — a noteworthy BTTS rate that supports the Yes market. Krylia Sovetov haven't played a Premier League game yet this season, so this record is entirely from last season.
Krylia Sovetov's form when playing away from home: 0W 0D 10L across 10 road games this term (0.00 PPG). Away from home they average 0.20 goals scored and 2.40 conceded per game. Away from home, both teams have scored in only 20% of games — a low rate that backs BTTS No when they travel. Their away PPG of 0.00 is notably below their overall 1.20 — form away from home has been a clear weakness this season.
Dynamo are in the better shape of the two on current Premier League data — 0.60 PPG ahead (1.80 vs 1.20). That form margin is the baseline of a sensible selection even before other signals are layered in.
H2H Record
Dynamo hold a clear advantage in this fixture, picking up 7 wins from 9 previous encounters compared to 1 for Krylia Sovetov, with 1 draws in between.
The 9 previous encounters between these sides have been high-scoring affairs — 3.9 goals per contest on average. Historical precedent backs the Over 2.5 goals market. The most recent clash, on 1 Mar 2026, ended 4–0 with Dynamo winning.
From a betting standpoint, the H2H backs both Dynamo and goals. The home side's 7 wins from 9 meetings, combined with an average of 3.9 goals per game, gives the home win and Over 2.5 combination a historically grounded case.
In-Play Profile
Dynamo in-play tendencies (30 games, 15 at home): they score before half-time in 93% of fixtures in home games; when goalless at HT, a second-half goal follows 80% of the time; they lead at the break 50% of the time; BTTS occurs in 60% of their matches (home games); Over 2.5 goals lands in 73% of games (home games); Over 3.5 in 37%.
Krylia Sovetov in-play tendencies (30 games, 15 at away): they score before half-time in 87% of fixtures in away games; when goalless at HT, a second-half goal follows 86% of the time; two or more arrive in the second half on 71% of those occasions; BTTS occurs in 47% of their matches (away games); Over 2.5 goals lands in 60% of games (away games); they fail to score in 33% of games.
BTTS rates are mixed from the trading data — Dynamo 67% versus Krylia Sovetov 50%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Dynamo 60% | Krylia Sovetov 47%).
Poisson Model
The Poisson distribution model projects Dynamo 1.80 xG and Krylia Sovetov 0.99 xG. These expected goals figures are the primary input: they feed a goal-probability matrix across all scoreline combinations to derive the result and market probabilities below. Underlying strength ratings: Dynamo attack 1.102 / defence 1.070 | Krylia Sovetov attack 0.879 / defence 1.144. League average goals — home 1.433 / away 1.057. Data: 30 Dynamo games / 30 Krylia Sovetov games used (PrevSeason). Note: current-season sample is too small — prior-season data is carrying the calculation. Model confidence is reduced; treat probabilities as directional rather than precise.
Result probabilities: Dynamo 56% | Draw 23% | Krylia Sovetov 21%. Fair-value odds: Dynamo 1.79 | Draw 4.35 | Krylia Sovetov 4.76. The model has a clear lean to Dynamo (56%) — a 35pp gap over the next-most-likely outcome reflects a meaningful statistical advantage.
Goals markets: Over 2.5 probability 53% | BTTS probability 53% | Total xG 2.80. Over/Under 2.5 is close to a coin-flip at 53%/47% — the total xG of 2.80 sits near the 2.5 margin; this is a low-edge market from a Poisson standpoint. BTTS probability of 53% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.
Analysis Verdict
On the Poisson output, Dynamo are the pick at 56% — clear model lean. Current-season form corroborates the Poisson lean — partial multi-source support. Draw No Bet is worth pricing alongside the outright: 23% draw probability makes the stalemate a live outcome even at this conviction level.
Poisson projects 2.80 total expected goals, pointing to Over 2.5 at 53% probability — strong conviction, supported by form averaging 3.2 goals per game and H2H averaging 3.9 goals per meeting.
The Poisson model's BTTS call is Yes at 53%. This conflicts with form data: Dynamo 60% | Krylia Sovetov 20% from recent games — a notable divergence.
The Poisson model is drawing on PrevSeason data (30 games minimum) — early-season projections carry additional uncertainty. Weight the live form and odds signals accordingly.
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💡 Key Insights
🏟️ Match Context
• Fixture: Dynamo vs Krylia Sovetov | Competition: Premier League, Regular Season - 1 | Venue: VTB Arena • Kick-off: Saturday 25 Jul 2026, 11:00 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing
📊 Statistical Prediction
• Poisson result probabilities: Dynamo 56% | Draw 23% | Krylia Sovetov 21% • Poisson goal markets: Over 2.5 53% | BTTS 53% | xG Dynamo 1.80 / Krylia Sovetov 0.99 • Poisson strength factors: Dynamo attack 1.102 / def 1.070 | Krylia Sovetov attack 0.879 / def 1.144 | league avg home 1.433 / away 1.057 • Poisson stance: Dynamo (56%) — strong lean
🧮 Prediction Model
1.80
Dynamo xG
Expected Goals
0.99
Krylia Sovetov xG
53%
BTTS
77%
Over 1.5
53%
Over 2.5
31%
Over 3.5
Full score-by-score matrix & model internals in the "Full Poisson Detail" section below ↓
⚠️ This analysis is generated algorithmically from statistical data and is intended for informational purposes only. It does not constitute betting advice. Please gamble responsibly.
❓ Frequently Asked Questions
What time does Dynamo vs Krylia Sovetov kick off?
Dynamo vs Krylia Sovetov kicked off at 11:00 on Saturday 25 July 2026 at VTB Arena.
What was the final score in Dynamo vs Krylia Sovetov?
Dynamo 0 - 0 Krylia Sovetov.
Where is Dynamo vs Krylia Sovetov being played?
The match is being played at VTB Arena.
What competition is Dynamo vs Krylia Sovetov part of?
Dynamo vs Krylia Sovetov is a Regular Season - 1 fixture in the Premier League (Russia).
Who is favourite to win Dynamo vs Krylia Sovetov?
Our statistical model gives Dynamo a 56% chance of winning, Krylia Sovetov a 21% chance, and a 23% chance of a draw — making Dynamo the favourite.
Will both teams score in Dynamo vs Krylia Sovetov?
Our model estimates a 53% probability that both Dynamo and Krylia Sovetov will score (BTTS).
Will Dynamo vs Krylia Sovetov have over 2.5 goals?
Our model puts the probability of over 2.5 goals in this match at 53%.
What is the head-to-head record between Dynamo and Krylia Sovetov?
Record (9 meetings): Dynamo 7W | Draws 1 | Krylia Sovetov 1W.
What form are Dynamo and Krylia Sovetov in?
No current-season fixtures available — form shown from previous season data. Dynamo (all comps): 5W-3D-2L in 10 | 1.80 PPG | GF 1.60 / GA 1.30 | L5 L-W-D-W-W.
🧮 Model Insight
How the Model Works This Match
The model rates Dynamo's attack at 1.10x the league average against Krylia Sovetov's defence at 1.14x — combine the two and it projects 1.80 expected goals for the hosts. The same calculation in reverse, Krylia Sovetov's attack versus Dynamo's defence, projects 0.99 expected goals for the visitors.
These ratings are built from 30/30 games of current-season data — a full enough sample to trust.
Scoreline Breakdown
Of every possible scoreline, 1-1 carries the highest individual probability at 12.3% — still a long way from a near-certainty, which says something about how open this one is on paper. Close behind: 2-0 (9.9%), 2-1 (9.9%). Those top three scorelines alone account for 32% of the model's total probability mass — a relatively concentrated, predictable distribution for this fixture.
Most Likely Outcome
Dynamo Win
56%
1.77
23%
4.35
21%
4.85
Top 3 Most Likely Scorelines
1 β 0
11.0%
Home win
Most likely
1 β 1
10.9%
Draw
2 β 0
9.9%
Home win
Expected Goals & Win Odds
1.80
Dynamo xG
Total xG
2.80
0.99
Krylia Sovetov xG
1.77
56%
Home win
4.35
23%
Draw
4.85
21%
Away win
Goals Markets
77%
Over 1.5
1.30
23%
Under 1.5
4.35
53%
Over 2.5
1.89
47%
Under 2.5
2.13
31%
Over 3.5
3.23
69%
Under 3.5
1.45
15%
Over 4.5
6.67
85%
Under 4.5
1.18
Match Markets
Both Teams to Score
53%
BTTS Yes
1.90
47%
BTTS No
2.11
Clean Sheet
37%
2.70
16%
6.08
Win to Nil
21%
4.80
3%
29.51
Score Probability Matrix (%)
| H \ A | 0 | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|
| 0 | 6.1 | 6.1 | 3.0 | 1.0 | 0.2 | – |
| 1 | 11.0 | 10.9 | 5.4 | 1.8 | 0.4 | 0.1 |
| 2 | 9.9 | 9.9 | 4.9 | 1.6 | 0.4 | 0.1 |
| 3 | 6.0 | 5.9 | 3.0 | 1.0 | 0.2 | – |
| 4 | 2.7 | 2.7 | 1.3 | 0.4 | 0.1 | – |
| 5 | 1.0 | 1.0 | 0.5 | 0.2 | – | – |
Green = home win Β· Grey = draw Β· Amber = away win Β· Outlined cell = most likely score
▶ Model Internals
❓ Frequently Asked Questions
What is the most likely scoreline for Dynamo vs Krylia Sovetov?
Our Poisson model rates 1-1 as the single most likely exact scoreline, at 12.3%.
How many goals are Dynamo and Krylia Sovetov expected to score?
The model projects 1.80 expected goals for Dynamo and 0.99 for Krylia Sovetov, a combined total of 2.80.
How confident is the prediction model for Dynamo vs Krylia Sovetov?
Reasonably confident — the model's leading outcome is rated at 56%, a clear lean rather than a toss-up.
📈 Form Insight
Form at a Glance
Across their last 30 outings, Dynamo have picked up 1.50 PPG on a 12W 9D 9L record — L-W-D-W-W across the most recent five. Dynamo haven't played enough this season for a current-season-only sample, so this includes results carried over from last season.
Krylia Sovetov's form line: 8W 8D 14L from 30 games, 1.07 PPG, last five L-W-W-L-W. Krylia Sovetov haven't played enough this season for a current-season-only sample, so this includes results carried over from last season.
Put side by side, Dynamo are the form team by 0.43 points per game — a gap wide enough to matter, though form alone rarely tells the whole story against Krylia Sovetov.
Venue Form
On home soil, Dynamo have posted 1.47 PPG from 15 outings (6W 4D 5L).
On the road, Krylia Sovetov have gone 1W 2D 12L from 15 away games — 0.33 PPG when travelling. That's a step down from their 1.07 PPG overall record — away form has been the weaker part of Krylia Sovetov's season.
Comparing the two in their relevant venue splits, Dynamo come out ahead — a more targeted read than the overall PPG figures above, since it strips out games played in the opposite context.
Goals in Recent Form
Dynamo are averaging 1.70 goals scored and 1.33 conceded per game recently; Krylia Sovetov are on 1.17 scored and 1.67 conceded.
On BTTS specifically: Dynamo have seen both teams score in 67% of their recent games.
Last 30 Results — Premier League
Current season: same league only · Previous season: all leagues (covers promoted/relegated teams)
Dynamo
Pre-Season
Krylia Sovetov
Pre-Season
❓ Frequently Asked Questions
What form are Dynamo and Krylia Sovetov in coming into this match?
Dynamo have gone 12W 9D 9L in their last 30 games (1.50 PPG), while Krylia Sovetov have gone 8W 8D 14L in their last 30 (1.07 PPG).
Which team has the better venue record — Dynamo at home or Krylia Sovetov away?
Dynamo's home record (1.47 PPG) is the stronger of the two venue-specific splits — Dynamo at home: 1.47 PPG; Krylia Sovetov away: 0.33 PPG.
⚔️ Rivalry Insight
Fixture History
10 meetings separate these sides on the data we hold, the series stretching back to May 2022. Every recorded meeting has come in Premier League. The two were last together as recently as 25 July 2026, so this form is fresh in the memory.
Streaks & Records
The biggest gap between the sides came on 1 Mar 2026, when Dynamo won 4-0 — the largest margin of victory on record between these two.
Dynamo's record when hosting Krylia Sovetov specifically: 4W 1D 0L from 5 games — a narrower, venue-specific slice of the head-to-head picture.
Last 10 Meetings
7
Dynamo
2
Draws
1
Krylia Sovetov
Recent Meetings
❓ Frequently Asked Questions
What is the head-to-head record between Dynamo and Krylia Sovetov?
From 10 meetings on record, Dynamo have won 7, Krylia Sovetov have won 1, and 2 have been drawn.
When did Dynamo and Krylia Sovetov last play each other?
They last met on 25 July 2026, when Dynamo 0-0 Krylia Sovetov.
Who has won more matches between Dynamo and Krylia Sovetov?
Dynamo have the better head-to-head record, with 7 wins from 10 meetings.
📈 Trading Insight
First-Half Patterns
Dynamo are typically involved in an early goal — the half-time board shows at least one in 93% of their matches. They've gone in front at half-time 47% of the time. They've also shown some fight from behind, salvaging a draw or win after trailing at half-time in 13% of those situations.
Krylia Sovetov are typically involved in an early goal — the half-time board shows at least one in 87% of their matches. They've also shown some fight from behind, salvaging a draw or win after trailing at half-time in 13% of those situations.
Full-Time Trends
BTTS sits in mixed territory for this pairing — Dynamo 60%, Krylia Sovetov 47% — no strong lean either way from the trading data alone.
Goals have flowed in these teams' recent matches — Over 2.5 has landed at 73% for Dynamo and 60% for Krylia Sovetov. Stepping up a level, Over 3.5 has also landed reasonably often — 47% and 33% respectively — worth a look for goal-hungry markets.
On the defensive side: Dynamo keep a clean sheet in 33% of their matches; Krylia Sovetov in 53%.
Current season: same league only. Previous season: all leagues (covers promoted/relegated teams). All = any venue | Venue = Dynamo home games / Krylia Sovetov away games. HT metrics require half-time score data β shown as β where unavailable.
❓ Frequently Asked Questions
Do both teams usually score when Dynamo play Krylia Sovetov?
Not especially — both teams scoring has occurred in only 60% of Dynamo's recent matches and 47% of Krylia Sovetov's, a rate that leans toward BTTS No.
Is Dynamo vs Krylia Sovetov usually a high-scoring fixture?
Recent trends suggest it could be — Over 2.5 goals has landed in 73% of Dynamo's matches and 60% of Krylia Sovetov's.
Do Dynamo and Krylia Sovetov tend to score early?
Dynamo have had a goal before half-time in 93% of their recent matches, Krylia Sovetov in 87% — a useful reference point for first-half goal markets.
Stalemate at Dynamo's ground as both sides cancel each other out in a goalless draw.
📝 Match Report
How It Unfolded
The points were shared at VTB Arena, Regular Season - 1, as Dynamo and Krylia Sovetov drew 0-0 in the Premier League. With the result on the board, the sections below measure it against everything the model and the numbers projected in advance.
The Model vs The Result
The Poisson model went into this projecting Dynamo 1.80 xG and Krylia Sovetov 0.99 xG, a combined 2.80. The scoreboard read 0-0 for 0 actual goals. Dynamo fell 1.8 short of their projected output. Krylia Sovetov landed 1.0 under their projected return. Those figures were built on strength ratings of Dynamo attack 1.10 / defence 1.07 against Krylia Sovetov attack 0.88 / defence 1.14, drawn from 30/30 games (PrevSeason).
On the result, the model split it Dynamo 56% | Draw 23% | Krylia Sovetov 21%, with Dynamo to win its most likely call at 56%. Instead the game produced a draw, an outcome the model had rated at just 23% — a clear break from expectation and a genuine upset by the numbers.
Goals & Markets
The model rated Over 2.5 goals at 53%. The game delivered 0, so it stayed under — the opposite of the projected direction. Over 1.5 had been 77% and missed. On both teams to score, the model sat at 53% and the match did not — a miss on BTTS. Historically the two sides average 53% Over 2.5 across their same-competition games (Dynamo 60%, Krylia Sovetov 47%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 58%, which did not match the one-sided outcome.
Trading Patterns vs Reality
Dynamo's trading profile (30 games, 15 home) set some clear expectations: BTTS lands in 67% of their matches — today it did not.
Krylia Sovetov's trading profile (30 games, 15 away) set some clear expectations: BTTS lands in 50% of their matches — today it did not; they fail to score in 33% of games, a blank that repeated today.
Form vs Result
On form, Dynamo arrived the stronger side — 1.50 PPG against 1.07. The form guide was only half-right: the stronger side did not lose, but could not convert the edge into a win. Dynamo (home/away splits) managed 0 against a 1.93 scoring average — below par going forward and conceded 0 against a 1.53 average — tighter than their form line. Krylia Sovetov (home/away splits) conceded 0 against a 2.20 average — tighter than their form line.
Verdict
Grading the result against the stored data, 0 of 4 pre-match signals came in: result (miss), Over 2.5 (miss), BTTS (miss), form (miss). The data was on the wrong side of this result more often than not — a reminder that a single match sits well inside the model's variance.
💡 Key Insights
⚠️ This match report is generated algorithmically from the final score, our prediction model, and each team's historical form and trading data. Analysis is for informational purposes only.