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Poisson rates Dynamo Kyiv at 43% — the H2H record provides partial corroboration, though signals are mixed in this LNZ Cherkasy vs Dynamo Kyiv encounter.

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Match Analysis

LNZ Cherkasy host Dynamo Kyiv at Cherkasy Arena in Premier League, Regular Season - 27. Kick-off is scheduled for Saturday 9 May 2026 at 13:30 UTC.

Recent Form

Across all Premier League games this season, LNZ Cherkasy have gone 5W 3D 2L from 10 outings — a 1.80 PPG return. Last five: W D L D D. Offensively they are averaging 1.60 goals per game, with 0.80 conceded. Defensively, conceding just 0.80 per game is an exceptional defensive record — one of the tightest in the division. 5 clean sheets from 10 games (50%) is a standout defensive return — they are keeping their net clean in more than half their matches. This season is still relatively young for LNZ Cherkasy, so this record blends games from this season and last.

LNZ Cherkasy's home record at Cherkasy Arena: 5W 3D 2L from 10 Premier League appearances (1.80 PPG). At home they are averaging 1.30 goals scored and 0.70 conceded per game. 6 clean sheets from 10 home games (60%) — they are an exceptionally hard side to score against at Cherkasy Arena. At home, both teams have scored in only 30% of games — reinforcing BTTS No as the home-venue-backed angle.

Dynamo Kyiv — All Games: 7W 0D 3L from 10 Premier League fixtures this season — 2.10 PPG. Last five: L L W W L. Their attacking form is sharp — 2.40 goals per game is a high-output rate that commands respect in the goals markets. 3 clean sheets from 10 outings suggests some defensive organisation. This season is still relatively young for Dynamo Kyiv, so this record blends games from this season and last.

Dynamo Kyiv's away record: 4W 3D 3L from 10 road trips in Premier League this season (1.50 PPG). They are averaging 2.30 goals per away game — strong road scoring that makes them a threat even without home support. Both teams have scored in 80% of their away matches — a high BTTS rate on the road that directly informs this fixture. Their away PPG of 1.50 is notably below their overall 2.10 — form away from home has been a clear weakness this season.

The form comparison is too close to call — 1.80 PPG (LNZ Cherkasy) versus 2.10 (Dynamo Kyiv). When the figures are this level, no pick can be reliably derived from recent results alone.

H2H

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

The 5 previous meetings have averaged 2.6 goals per game — a neutral rate that provides no strong lean on the goals market from the H2H alone. The most recent clash, on 9 Nov 2025, ended 1–0 with LNZ Cherkasy winning.

The head-to-head offers no strong directional steer in either the result or goals markets. Form, the predictive model and current market pricing should carry more weight than the historical record for this fixture.

In-Play Data

LNZ Cherkasy trading profile (56 games, 28 at home): they score before half-time in 61% of fixtures in home games; when goalless at HT, a second-half goal follows 63% of the time; BTTS occurs in 36% of their matches (home games); Over 2.5 goals lands in 29% of games (home games); they keep a clean sheet 45% of the time; they fail to score in 30% of games.

Dynamo Kyiv trading profile (56 games, 28 at away): they score before half-time in 79% of fixtures in away games; when goalless at HT, a second-half goal follows 70% of the time; two or more arrive in the second half on 50% of those occasions; they lead at the break 57% of the time; BTTS occurs in 64% of their matches (away games); Over 2.5 goals lands in 61% of games (away games); Over 3.5 in 36%.

BTTS rates are mixed from the trading data — LNZ Cherkasy 38% versus Dynamo Kyiv 59%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (LNZ Cherkasy 30% | Dynamo Kyiv 61%).

Poisson Model

The Poisson distribution model projects LNZ Cherkasy 1.70 xG and Dynamo Kyiv 1.89 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: LNZ Cherkasy attack 1.084 / defence 0.919 | Dynamo Kyiv attack 1.668 / defence 1.239. League average goals — home 1.263 / away 1.232. Dynamo Kyiv bring a strong defensive rating of 1.239 — this is suppressing LNZ Cherkasy's projected output below what their attack strength alone would suggest. Dynamo Kyiv have an above-average attack strength of 1.668 — the away xG of 1.89 is driven by genuine attacking quality on the road. Data: 56 LNZ Cherkasy games / 56 Dynamo Kyiv games used (CurrentSeason).

Result probabilities: LNZ Cherkasy 35% | Draw 23% | Dynamo Kyiv 43%. Fair-value odds: LNZ Cherkasy 2.86 | Draw 4.35 | Dynamo Kyiv 2.33. This is a low-confidence result — no outcome exceeds 45%. The draw at 23% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 69% | BTTS probability 70% | Total xG 3.58. Over 2.5 is the model's clear signal at 69% — a total xG of 3.58 means the expected score alone exceeds the 2.5 threshold, making the Over not just likely but structurally supported by both sides' attack/defence profiles. BTTS Yes at 70% reflects that both xG figures (1.70 / 1.89) are above the threshold where scoring blanks become the primary outcome — both sides are projected to find the net.

Our Verdict

Poisson rates Dynamo Kyiv as the most likely outcome at 43% — marginal model lean. With a 23% draw probability, Draw No Bet on Dynamo Kyiv offers a more defensible entry point than the straight win. The opposing side holds a 35% win probability per the model — this is not a banker and should be staked accordingly.

On the goals line, Poisson's 3.58 combined xG gives a 69% probability to Over 2.5 — reasonable, supported by form averaging 3.1 goals per game.

Poisson assigns a 70% probability to BTTS Yes based on the attack/defence strength model. Form rates corroborate: LNZ Cherkasy 30% | Dynamo Kyiv 80% BTTS from recent games.

The outsider holds a 35% 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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