Estadísticas / Fútbol / Russia. Premier League / Dinamo Makhachkala vs FC Rostov

Dinamo Makhachkala vs FC Rostov Statistics & Analysis

May 02, 2026 - 11:00
1 0.85
2 0.88
xG Accuracy: 70%
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Tracked markets vs full-time result

Each row compares the model’s highlighted side (or lean) to what happened at full time.

  • Market Prediction Result Outcome
  • Más / Menos de 2.5 Menos de 2.5 Más de 2.5 (3 goals) ✖ Incorrect
  • Ambos Equipos Marcarán BTTS No ✖ Incorrect
  • 1X2 draw FC Rostov ✖ Incorrect
  • Perspectivas de marcador exacto 0-0 1-2 ✖ Incorrect

Informe IA del partido

Resumen del partido IA

Pre-match snapshot for this fixture.

  • League: Premier League
  • Fixture: Dinamo Makhachkala vs FC Rostov
  • Kickoff: 2026-05-02 15:00:00
  • 1X2 (model): Home 30.6% · Draw 37.2% · Away 32.2%
  • xG (showing): Dinamo Makhachkala 0.85 — FC Rostov 0.88 (total xG ≈ 1.73)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 74.9% · Implied: 67.3% · Probability edge: +7.6 pts · Est. EV: +7.1%
  • BTTS (model): Yes 35.2% · No 64.8%
  • Correct score (top bin): 0-0 (17.7%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Early match state can move realised goals away from pre-kick projections.

Mejor apuesta y razones

The engine’s headline primary is: Under 2.5 goals.

If 1X2 looks tight, the engine may still find clearer structure in totals or BTTS — that is intentional.

No pick is a guarantee; variance is especially large in scoreline markets.

FAQ

What is the best-supported line in this snapshot?

Match the hero card above: if it says “Betting Primary Pick”, that leg cleared primary rules; if it says “Best +EV (tracked markets)”, it is the strongest +EV line that did not meet stricter Primary thresholds. The bullets below repeat the same model %, implied %, edge (pts), and EV % as that card.

Who has the edge in the match-winner market?

Use the 1X2 model percentages in the summary and the 1X2 market card: the side with the highest model % is the model lean, but check EV — a lean can still be -EV after prices.

Safer market than correct score?

Markets with more liquidity and smoother prices (often 1X2 or O/U 2.5 from many books) are usually easier to reason about than long-tail correct-score prices; still read EV on each leg.

What changes first if odds move?

Implied probabilities and EV move immediately with price; model probabilities in this snapshot do not update until the pipeline is re-run. Refresh after material line moves.

Factores de riesgo

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Metodología

  • Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
  • Narrative: Template sentence library with fixture-stable selection (no per-request LLM for this block).
  • Compliance: Educational framing only; not personalised advice.

Última actualización

May 01, 2026 (UTC)

¿Cómo usar esto?
  • Concéntrese en la línea principal cuando desee una idea viable.
  • No combine muchas púas de punta fina;Los bordes no se suman de manera confiable.
  • Trate las apuestas arriesgadas como jugadas opcionales y de alto riesgo únicamente.

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Premier League Premier LeagueClasificación
# EQUIPO PJ G E P Pts
1 Zenit 29 19 8 2 65
2 FC Krasnodar 29 19 6 4 63
3 Lokomotiv 29 14 11 4 53
4 Spartak Moscow 29 15 6 8 51
5 CSKA Moscow 29 14 6 9 48
6 Baltika 29 11 13 5 46
7 Dynamo 29 11 9 9 42
8 Rubin 29 11 9 9 42
9 Akhmat 29 9 9 11 36
10 FC Rostov 29 8 9 12 33
11 FC Orenburg 29 7 8 14 29
12 Krylia Sovetov 29 7 8 14 29
13 Akron 29 6 9 14 27
14 Dinamo Makhachkala 29 5 10 14 25
15 Nizhny Novgorod 29 6 4 19 22
16 FC Sochi 29 6 3 20 21
# EQUIPO PJ GF GC +/- Pts
1 FC Krasnodar 29 57 23 +34 63
2 Lokomotiv 29 53 36 +17 53
3 Zenit 29 52 19 +33 65
4 Dynamo 29 49 39 +10 42
5 Spartak Moscow 29 47 39 +8 51
6 CSKA Moscow 29 41 32 +9 48
7 Baltika 29 37 19 +18 46
8 Akhmat 29 34 38 -4 36
9 Akron 29 34 49 -15 27
10 Krylia Sovetov 29 31 49 -18 29
11 FC Orenburg 29 29 41 -12 29
12 FC Sochi 29 28 59 -31 21
13 Rubin 29 27 28 -1 42
14 FC Rostov 29 25 31 -6 33
15 Nizhny Novgorod 29 24 48 -24 22
16 Dinamo Makhachkala 29 19 37 -18 25
# EQUIPO PJ xG xGC +/- Pts
1 FC Krasnodar 29 27.6 15.2 +12.4 63
2 Zenit 29 25.0 14.1 +10.9 65
3 Lokomotiv 29 26.7 20.4 +6.3 53
4 Dynamo 29 23.7 18.5 +5.2 42
5 Spartak Moscow 29 22.8 19.0 +3.8 51
6 Baltika 29 22.2 18.6 +3.6 46
7 Rubin 29 19.1 16.8 +2.3 42
8 FC Rostov 29 19.1 17.2 +1.9 33
9 Akhmat 29 20.2 19.3 +0.9 36
10 CSKA Moscow 29 23.4 24.7 -1.3 48
11 Dinamo Makhachkala 29 15.7 17.1 -1.4 25
12 Akron 29 21.8 24.9 -3.1 27
13 FC Orenburg 29 18.4 23.8 -5.4 29
14 Nizhny Novgorod 29 16.7 25.0 -8.3 22
15 Krylia Sovetov 29 12.9 26.0 -13.1 29
16 FC Sochi 29 12.1 27.1 -15.0 21