Shakhtar Donetsk 3-1 Ruh Lviv – Result & Analysis

Poisson model favours Shakhtar Donetsk (39%) — form and H2H data both point in the same direction as Shakhtar Donetsk face Ruh Lviv.

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Analysis

Ruh Lviv make the trip to Arena Lviv to face Shakhtar Donetsk in Premier League, Regular Season - 23. The match kicks off on Sunday 7 April 2024 at 16:00 UTC.

Current Form

Shakhtar Donetsk's overall Premier League record this term: 8W 1D 1L from 10 games (2.50 PPG). Last five: W W W W W. They are averaging 2.20 goals per game — a high-scoring output that makes them a genuine attacking threat in any fixture. Defensively, conceding just 0.70 per game is an exceptional defensive record — one of the tightest in the division. 7 clean sheets from 10 games (70%) is a standout defensive return — they are keeping their net clean in more than half their matches. Both teams have scored in just 30% of their matches, indicating a tendency toward clean sheets or low-scoring outcomes. This season is still relatively young for Shakhtar Donetsk, so this record blends games from this season and last.

Shakhtar Donetsk's form when playing at home: 7W 1D 2L across 10 games at Arena Lviv this term (2.20 PPG). They are averaging 2.00 goals per home game — a prolific scoring rate in front of their own fans. 6 clean sheets from 10 home games (60%) — they are an exceptionally hard side to score against at Arena Lviv.

Ruh Lviv (all games): 5W 4D 1L across 10 Premier League outings this term — 1.90 points per game. Last five: D W W W W. Their scoring rate of 1.40 per game is modest, conceding 0.90 — not a side to back heavily on the Over 2.5 from their form alone. 4 clean sheets in 10 outings (40%) underlines their defensive solidity. This season is still relatively young for Ruh Lviv, so this record blends games from this season and last.

Ruh Lviv's form when playing away from home: 6W 2D 2L across 10 road games this term (2.00 PPG). They are averaging 1.90 goals per away game — strong road scoring that makes them a threat even without home support. BTTS has landed in 60% of their away games — meaningful support for the Yes angle in this specific context.

Form favours the hosts. Shakhtar Donetsk's 2.50 PPG return is 0.60 points per game ahead of Ruh Lviv's 1.90 — a genuine gap in recent results that provides a statistically grounded case for backing the home side.

Head-to-Head

Historically, Shakhtar Donetsk have had the better of this match-up — 3 wins from 4 meetings, with Ruh Lviv managing just 0 victories and 1 draws shared.

Scoring has been limited when these teams have met. The 4 previous contests averaged 1.8 goals, making the Under 2.5 the historically backed angle in the goals market. The most recent clash, on 23 Sep 2023, ended 1–1 with a draw.

The historical record gives Shakhtar Donetsk a meaningful edge here — 3 wins from 4 meetings is the kind of ledger that should not be discounted when the form picture is inconclusive. Even away from home, the visitors have struggled to impose themselves in this fixture.

Trading

Shakhtar Donetsk half-time and goal-timing data (50 games, 25 at home): they score before half-time in 80% of fixtures in home games; when goalless at HT, a second-half goal follows 83% of the time; they lead at the break 54% of the time; BTTS occurs in 44% of their matches (home games); Over 2.5 goals lands in 60% of games (home games); they keep a clean sheet 50% of the time.

Ruh Lviv half-time and goal-timing data (50 games, 25 at away): they score before half-time in 76% of fixtures in away games; when goalless at HT, a second-half goal follows 56% of the time; BTTS occurs in 48% of their matches (away games); Over 2.5 goals lands in 48% of games (away games); they fail to score in 32% of games.

BTTS rates are mixed from the trading data — Shakhtar Donetsk 50% versus Ruh Lviv 54%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Shakhtar Donetsk 60% | Ruh Lviv 40%).

Poisson Model

The Poisson distribution model projects Shakhtar Donetsk 1.49 xG and Ruh Lviv 1.43 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: Shakhtar Donetsk attack 1.577 / defence 0.939 | Ruh Lviv attack 1.171 / defence 0.864. League average goals — home 1.089 / away 1.296. Shakhtar Donetsk carry an above-average attack strength of 1.577 — their λ of 1.49 reflects genuine attacking quality above the league norm. Data: 50 Shakhtar Donetsk games / 52 Ruh Lviv games used (CurrentSeason).

Result probabilities: Shakhtar Donetsk 39% | Draw 25% | Ruh Lviv 36%. Fair-value odds: Shakhtar Donetsk 2.56 | Draw 4.00 | Ruh Lviv 2.78. This is a low-confidence result — no outcome exceeds 45%. The draw at 25% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 56% | BTTS probability 59% | Total xG 2.91. Over 2.5 holds a meaningful probability edge at 56% — the 2.91 total xG provides moderate support, though the model is not projecting a high-scoring game. BTTS probability of 59% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Verdict

The Poisson model's primary lean is Shakhtar Donetsk at 39% — marginal model lean. Current-season form corroborates the Poisson lean — partial multi-source support. Draw probability of 25% warrants consideration of Double Chance or Draw No Bet on Shakhtar Donetsk if the outright odds are short. The opposing side holds a 36% win probability per the model — this is not a banker and should be staked accordingly.

Poisson projects 2.91 total expected goals, pointing to Over 2.5 at 56% probability — marginal — conflicting signals conviction, supported by form averaging 3.0 goals per game — though H2H averaging only 1.8 goals per meeting points in the other direction.

On the BTTS market, Poisson puts 59% on Yes. Form rates are neutral: Shakhtar Donetsk 40% | Ruh Lviv 60%.

The outsider holds a 36% 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.

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