🎯

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

📋

Poisson model rates Stromsgodset at 39%, yet in-form Rosenborg provide a compelling counter-argument — this Stromsgodset vs Rosenborg fixture contains genuine analytical tension.

✍️ Match Preview

Match Analysis

Stromsgodset host Rosenborg at Marienlyst Stadion in Eliteserien, Regular Season - 1. Kick-off is scheduled for Saturday 29 March 2025 at 15:00 UTC.

Form Analysis

Looking at all fixtures this season, Stromsgodset stand at 4W 3D 3L from 10 Eliteserien matches — 1.50 PPG. Last five: W L W L W. They are averaging 0.70 goals per game and conceding 0.60 — a modest attacking output that tempers optimism on the Over 2.5 market. Defensively, conceding just 0.60 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. Both teams have scored in only 20% of their games — a low BTTS rate that suggests clean sheets are a regular occurrence.

Stromsgodset at Marienlyst Stadion this season: 5W 2D 3L from 10 home games — 1.70 PPG on home soil. At home they are averaging 1.30 goals scored and 1.00 conceded per game.

Across all Eliteserien games this season, Rosenborg have recorded 7W 2D 1L from 10 outings — 2.30 PPG. Last five: W W W D W. Their attacking form is sharp — 2.00 goals per game is a high-output rate that commands respect in the goals markets. 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.

Rosenborg's form when playing away from home: 5W 2D 3L across 10 road games this term (1.70 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. Their away PPG of 1.70 is notably below their overall 2.30 — form away from home has been a clear weakness this season.

The form data does not support a straightforward home bias here. Rosenborg are 0.80 PPG ahead (2.30 vs 1.50), making them the form-guided selection despite the trip.

H2H Record

There is little to separate the sides historically. From 8 previous meetings, Stromsgodset have won 4, Rosenborg 3, with 1 draws — a balanced ledger that offers no obvious directional steer on its own.

The 8 previous meetings have averaged 2.5 goals per game — a neutral rate that provides no strong lean on the goals market from the H2H alone. The most recent clash, on 3 Nov 2024, ended 0–1 with Rosenborg 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 Profile

Stromsgodset in-play tendencies (60 games, 30 at home): they score before half-time in 73% of fixtures in home games; when goalless at HT, a second-half goal follows 86% of the time; BTTS occurs in 47% of their matches (home games); Over 2.5 goals lands in 37% of games (home games); they fail to score in 33% of games.

Rosenborg in-play tendencies (60 games, 30 at away): they score before half-time in 83% of fixtures in away games; when goalless at HT, a second-half goal follows 92% of the time; BTTS occurs in 63% of their matches (away games); Over 2.5 goals lands in 70% of games (away games); Over 3.5 in 45%.

BTTS rates are mixed from the trading data — Stromsgodset 43% versus Rosenborg 62%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Stromsgodset 37% | Rosenborg 65%).

Poisson Model

The Poisson distribution model projects Stromsgodset 1.40 xG and Rosenborg 1.31 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: Stromsgodset attack 0.965 / defence 0.908 | Rosenborg attack 1.130 / defence 0.941. League average goals — home 1.546 / away 1.282. Data: 30 Stromsgodset games / 30 Rosenborg games used (PrevSeason). Note: current-season sample is too small — prior-season data is carrying the calculation. Model confidence is reduced; treat probabilities as directional rather than precise.

Result probabilities: Stromsgodset 39% | Draw 26% | Rosenborg 35%. Fair-value odds: Stromsgodset 2.56 | Draw 3.85 | Rosenborg 2.86. This is a low-confidence result — no outcome exceeds 45%. The draw at 26% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 51% | BTTS probability 55% | Total xG 2.72. Over/Under 2.5 is close to a coin-flip at 51%/49% — the total xG of 2.72 sits near the 2.5 margin; this is a low-edge market from a Poisson standpoint. BTTS probability of 55% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Analysis Verdict

On the Poisson output, Stromsgodset are the pick at 39% — marginal model lean. Note a divergence: in-form Rosenborg (2.30 PPG) cuts against the Poisson lean — consider the strength-adjusted model over surface-level form results. With a 26% draw probability, Draw No Bet on Stromsgodset 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.

Poisson projects 2.72 total expected goals, pointing to Over 2.5 at 51% probability — reasonable conviction, supported by form averaging 2.8 goals per game.

The Poisson model's BTTS call is Yes at 55%. Form rates corroborate: Stromsgodset 50% | Rosenborg 60% 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. The Poisson model is drawing on PrevSeason data (30 games minimum) — early-season projections carry additional uncertainty. Weight the live form and odds signals accordingly.

🔮 Your Prediction

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

💡 Key Insights