🎯

Fixture360 only lists fixtures from a curated set of leagues, chosen specifically to keep our prediction model accurate.

📋

Poisson model favours Rubin (39%) — form and H2H data both point in the same direction as FC Sochi face Rubin.

✍️ Match Preview

Match Analysis

FC Sochi host Rubin at Fisht Olympic Stadium in Premier League, Regular Season - 23. Kick-off is scheduled for Monday 6 April 2026 at 17:30 UTC.

Form Analysis

Looking at all fixtures this season, FC Sochi stand at 1W 1D 8L from 10 Premier League matches — 0.40 PPG. Last five: L L L L L. They are averaging 1.30 goals per game and conceding 2.40 — a modest attacking output that tempers optimism on the Over 2.5 market. However, 2.40 goals conceded per game is a concern — opposing attacks have exploited them regularly. 1 clean sheet 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. This season is still relatively young for FC Sochi, so this record blends games from this season and last.

FC Sochi's form when playing at home: 1W 2D 7L across 10 games at Fisht Olympic Stadium this term (0.50 PPG). At home they are averaging 0.90 goals scored and 2.00 conceded per game. 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, Rubin have recorded 3W 3D 4L from 10 outings — 1.20 PPG. Last five: L L W W D. Their scoring rate of 0.70 per game is modest, conceding 0.70 — not a side to back heavily on the Over 2.5 from their form alone. Defensively, 0.70 goals conceded per game is elite-level — a side this difficult to score against is a real threat to Over 2.5 and BTTS Yes. 5 clean sheets from 10 games (50%) is an exceptional defensive record — they are keeping clean sheets more often than not. Both teams have scored in only 20% of their fixtures — a very low rate that strongly backs BTTS No. This season is still relatively young for Rubin, so this record blends games from this season and last.

Rubin's away record: 0W 4D 6L from 10 road trips in Premier League this season (0.40 PPG). Away from home they average 0.60 goals scored and 1.60 conceded per game. Their away PPG of 0.40 is notably below their overall 1.20 — form away from home has been a clear weakness this season.

Despite the home advantage, the form figures favour Rubin — 0.80 PPG ahead of the hosts (1.20 vs 0.40). That gap is large enough to take seriously. Draw No Bet on the visitors neutralises home-ground risk while maintaining the form-backed selection.

Head to Head

The rivalry is an even one: 1 wins apiece for FC Sochi, 3 for Rubin and 1 shared spoils from 5 past contests. Neither side holds a meaningful historical edge.

The 5 previous encounters between these sides have been high-scoring affairs — 3.2 goals per contest on average. Historical precedent backs the Over 2.5 goals market. The most recent clash, on 4 Aug 2025, ended 1–2 with Rubin winning.

With the win record balanced, the strongest H2H-derived signal is in the goals market. At 3.2 goals per game historically, Over 2.5 is the cleaner angle to extract from the head-to-head data.

In-Play Profile

FC Sochi in-play tendencies (24 games, 12 at home): they score before half-time in 92% of fixtures in home games; when goalless at HT, a second-half goal follows 60% of the time; two or more arrive in the second half on 60% of those occasions; BTTS occurs in 58% of their matches (home games); Over 2.5 goals lands in 67% of games (home games); Over 3.5 in 42%; they fail to score in 38% of games.

Rubin in-play tendencies (24 games, 12 at away): they score before half-time in 58% of fixtures in away games; when goalless at HT, a second-half goal follows 67% of the time; BTTS occurs in 42% of their matches (away games); Over 2.5 goals lands in 42% of games (away games); they fail to score in 38% of games.

BTTS rates are mixed from the trading data — FC Sochi 62% versus Rubin 38%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (FC Sochi 75% | Rubin 46%).

Poisson Model

The Poisson distribution model projects FC Sochi 1.14 xG and Rubin 1.26 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: FC Sochi attack 0.799 / defence 1.498 | Rubin attack 0.800 / defence 0.893. League average goals — home 1.604 / away 1.052. FC Sochi's attack strength of 0.799 is below the league average — the 1.14 xG projection reflects a team that scores at a discount to the division norm. Data: 22 FC Sochi games / 52 Rubin games used (CurrentSeason).

Result probabilities: FC Sochi 33% | Draw 28% | Rubin 39%. Fair-value odds: FC Sochi 3.03 | Draw 3.57 | Rubin 2.56. This is a low-confidence result — no outcome exceeds 45%. The draw at 28% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 43% | BTTS probability 49% | Total xG 2.40. Under 2.5 has a narrow probability edge at 57% — total xG of 2.40 is below the line but not decisively so. BTTS probability of 49% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Summary & Verdict

The Poisson model's primary lean is Rubin at 39% — marginal model lean. Current-season form corroborates the Poisson lean — partial multi-source support. With a 28% draw probability, Draw No Bet on Rubin offers a more defensible entry point than the straight win. The opposing side holds a 33% win probability per the model — this is not a banker and should be staked accordingly.

On the goals line, Poisson's 2.40 combined xG gives a 43% probability to Under 2.5 — Poisson-only — limited corroboration — though H2H averaging only 3.2 goals per meeting points in the other direction.

Poisson assigns a 49% probability to BTTS No based on the attack/defence strength model. Form rates are neutral: FC Sochi 60% | Rubin 40%.

The outsider holds a 33% win probability per the model — this is not a banker and should not be treated as one. Proportionate stakes are appropriate given the genuine contest the data projects.

🔮 Your Prediction

Sign in to submit your prediction and see how it compares to the rest of the community.

💡 Key Insights