Wolves 2-2 Arsenal – Result & Analysis

Poisson model favours Arsenal (64%) — recent form and the head-to-head data both point the same way as Wolves face Arsenal.

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Match Analysis

Wolves host Arsenal at Molineux Stadium in Premier League (matchday 31). Kick-off is Wednesday 18 February 2026 at 20:00 UK time.

Form Guide

Wolves — last 10 games: 1W 4D 5L, averaging 0.70 points per game. Last five: D L L L D. They are averaging 0.70 goals per game and conceding 1.30 — a modest attacking output that tempers optimism on the Over 2.5 market. 3 clean sheets from 10 outings (30%).

Wolves's home record over their last 10 home games: 1W 2D 7L (0.50 PPG). At home they are averaging 0.80 goals scored and 1.80 conceded per game.

Looking at their last 10 matches, Arsenal stand at 6W 3D 1L — 2.10 PPG. Last five: D L W W D. Their attacking form is sharp — 2.00 goals per game is a high-output rate that commands respect in the goals markets. Defensively, 0.80 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.

When travelling, Arsenal have posted 5W 4D 1L from their last 10 away outings — 1.90 PPG. Away from home they average 1.60 goals scored and 0.80 conceded per game. 5 away clean sheets from their last 10 away games (50%) — they are hard to break down on the road.

The form data does not support a straightforward home bias here. Arsenal are 1.40 PPG ahead (2.10 vs 0.70), making them the form-guided selection despite the trip.

Head to Head

Arsenal have tended to come out on top in this fixture, winning 9 of the 9 H2H matches we hold against 0 for Wolves.

The 9 H2H matches in our data averaged 2.4 goals per game — a neutral rate that gives no strong lean on the goals market from the H2H alone. The most recent of those, on 13 Dec 2025, ended Wolves 1–2 Arsenal — a Arsenal win.

Arsenal have the better head-to-head record despite being the visitors — 9 wins from 9 H2H matches. Home advantage alone is not a reason to dismiss that.

Trading Patterns

Wolves in-play and half-time data (last 64 games, 32 of them at home): at least one goal arrives before half-time in 78% of their matches in home games; when goalless at HT, a second-half goal follows 86% of the time; two or more arrive in the second half on 57% of those occasions; of the 12 games they led at half-time, they failed to win 25%; BTTS occurs in 53% of their matches (home games); Over 2.5 goals lands in 56% of games (home games); they fail to score in 33% of games.

Arsenal in-play and half-time data (last 64 games, 32 of them away): at least one goal arrives before half-time in 62% of their matches in away games; when goalless at HT, a second-half goal follows 80% of the time; two or more arrive in the second half on 55% of those occasions; they lead at the break 50% of the time; of the 32 games they led at half-time, they failed to win 25%; of the 9 games they trailed at half-time, they recovered to draw or win 67%; BTTS occurs in 53% of their matches (away games); Over 2.5 goals lands in 38% of games (away games); they keep a clean sheet 41% of the time.

BTTS rates are mixed from the trading data — Wolves 53% versus Arsenal 53%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Wolves 56% | Arsenal 47%). There is an in-play dynamic worth noting: Wolves surrender their half-time lead 25% of the time, while Arsenal have come from behind at the break to draw or win in 67% of cases — a combination that makes laying the hosts at HT a potential angle.

Poisson Model

The Poisson distribution model projects Wolves 0.69 xG and Arsenal 1.88 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: Wolves attack 0.680 / defence 1.263 | Arsenal attack 1.169 / defence 0.693. League average goals — home 1.455 / away 1.273. Wolves's attack rating of 0.680 is below the league average, which holds their xG down at 0.69. Arsenal bring a tight defence (rating 0.693, below 1 = concedes less than average) — this is pulling Wolves's projected output down. Wolves's defence rating of 1.263 (above 1 = concedes more than average) is pushing Arsenal's projected output up. Data: built from Wolves's last 64 games and Arsenal's last 64.

Result probabilities: Wolves 11% | Draw 26% | Arsenal 64%. Fair-value odds: Wolves 9.44 | Draw 3.87 | Arsenal 1.57. The model has a clear lean to Arsenal (64%) — a 38pp gap over the next-most-likely outcome reflects a meaningful statistical advantage.

Goals markets: Over 2.5 probability 47% | BTTS Yes probability 44% | Total xG 2.57. Over/Under 2.5 is close to a coin-flip at 47%/53% — the total xG of 2.57 sits near the 2.5 margin; this is a low-edge market from a Poisson standpoint. BTTS No at 56% is only a slight lean — the model gives both sides a fair chance of scoring, so No isn't a clear standalone call.

Our Verdict

Poisson rates Arsenal as the most likely outcome at 64% — clear model lean. Recent form and the head-to-head data both align with the Poisson read — multi-source corroboration increases confidence in this selection. Draw No Bet is worth pricing alongside the outright: 26% draw probability makes the stalemate a live outcome even at this conviction level.

The Poisson model projects 2.57 xG in total — Under 2.5 at 53% — a Poisson-only call with no corroboration from form or H2H.

On the BTTS market, Poisson puts 56% on No. Form rates corroborate — both teams scored in: Wolves 40% (last 10 home games) | Arsenal 50% (last 10 away games).

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