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Poisson rates Sturm Graz at 39% — the H2H record provides partial corroboration, though signals are mixed in this Sturm Graz vs Ried encounter.

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Match Analysis

Sturm Graz host Ried at Merkur-Arena in Bundesliga, Regular Season - 18. Kick-off is scheduled for Sunday 8 February 2026 at 16:00 UTC.

Form Guide

Sturm Graz — All Games: 4W 1D 5L from 10 Bundesliga outings this season, averaging 1.30 points per game. Last five: L W L W L. Offensively they are averaging 1.50 goals per game, with 1.90 conceded. 2 clean sheets from 10 outings provides some defensive foundation. Both teams have scored in 80% of their matches — an extremely high rate that makes BTTS Yes a well-supported standalone angle from their form alone. This season is still relatively young for Sturm Graz, so this record blends games from this season and last.

Sturm Graz's home record at Merkur-Arena: 3W 2D 5L from 10 Bundesliga appearances (1.10 PPG). At home they are averaging 1.30 goals scored and 1.70 conceded per game. Both teams have scored in 80% of their home games — an outstanding BTTS rate that is a key data point for this fixture.

Looking at all fixtures this season, Ried stand at 6W 1D 3L from 10 Bundesliga matches — 1.90 PPG. Last five: W L W W W. Their scoring rate of 1.30 per game is modest, conceding 1.10 — 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 Ried, so this record blends games from this season and last.

On the road, Ried have gone 4W 0D 4L from 8 away fixtures this term (1.50 PPG). Away from home they average 1.50 goals scored and 1.62 conceded per game. BTTS has landed in 62% of their away games — meaningful support for the Yes angle in this specific context.

Despite the home advantage, the form figures favour Ried — 0.60 PPG ahead of the hosts (1.90 vs 1.30). That gap is large enough to take seriously. Draw No Bet on the visitors neutralises home-ground risk while maintaining the form-backed selection.

The BTTS market is worth targeting here. Sturm Graz register both teams scoring in 80% of relevant matches, Ried in 62% (using home/away splits) — both sides above the 60% threshold gives BTTS Yes firm statistical grounding.

H2H Record

Sturm Graz hold a clear advantage in this fixture, picking up 3 wins from 5 previous encounters compared to 0 for Ried, with 2 draws in between.

The 5 previous encounters between these sides have been high-scoring affairs — 2.8 goals per contest on average. Historical precedent backs the Over 2.5 goals market. The most recent clash, on 16 Aug 2025, ended 3–1 with Sturm Graz winning.

From a betting standpoint, the H2H backs both Sturm Graz and goals. The home side's 3 wins from 5 meetings, combined with an average of 2.8 goals per game, gives the home win and Over 2.5 combination a historically grounded case.

Trading Patterns

Sturm Graz in-play and half-time data (17 games, 8 at home): they score before half-time in 62% of fixtures in home games; when goalless at HT, a second-half goal follows 100% of the time; two or more arrive in the second half on 60% of those occasions; BTTS occurs in 75% of their matches (home games); Over 2.5 goals lands in 62% of games (home games); Over 3.5 in 35%.

Ried in-play and half-time data (17 games, 8 at away): they score before half-time in 75% of fixtures in away games; when goalless at HT, a second-half goal follows 80% of the time; BTTS occurs in 62% of their matches (away games); Over 2.5 goals lands in 62% of games (away games).

BTTS rates are mixed from the trading data — Sturm Graz 59% versus Ried 47%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Sturm Graz 59% | Ried 53%).

Poisson Model

The Poisson distribution model projects Sturm Graz 1.54 xG and Ried 1.47 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: Sturm Graz attack 0.942 / defence 1.183 | Ried attack 0.948 / defence 1.205. League average goals — home 1.353 / away 1.311. Ried bring a strong defensive rating of 1.205 — this is suppressing Sturm Graz's projected output below what their attack strength alone would suggest. Data: 39 Sturm Graz games / 17 Ried games used (CurrentSeason).

Result probabilities: Sturm Graz 39% | Draw 24% | Ried 36%. Fair-value odds: Sturm Graz 2.56 | Draw 4.17 | Ried 2.78. This is a low-confidence result — no outcome exceeds 45%. The draw at 24% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 58% | BTTS probability 60% | Total xG 3.01. Over 2.5 holds a meaningful probability edge at 58% — the 3.01 total xG provides moderate support, though the model is not projecting a high-scoring game. BTTS Yes at 60% reflects that both xG figures (1.54 / 1.47) are above the threshold where scoring blanks become the primary outcome — both sides are projected to find the net.

Summary & Verdict

Sturm Graz dominate the H2H record, yet Ried are the in-form side right now — historical edge versus current momentum creates a genuine dilemma.

The Poisson model's primary lean is Sturm Graz at 39% — marginal model lean. Note a divergence: in-form Ried (1.90 PPG) cuts against the Poisson lean — consider the strength-adjusted model over surface-level form results. With a 24% draw probability, Draw No Bet on Sturm Graz offers a more defensible entry point than the straight win. The opposing side holds a 36% win probability per the model — this is not a banker and should be staked accordingly.

The Poisson model projects 3.01 xG in total — Over 2.5 at 58% — strong confidence, supported by form averaging 3.1 goals per game and H2H averaging 2.8 goals per meeting.

On the BTTS market, Poisson puts 60% on Yes. Form rates corroborate: Sturm Graz 80% | Ried 62% BTTS from recent games.

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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