🎯

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

📋

Poisson model favours Atletico Madrid (39%) — form and H2H data both point in the same direction as Mallorca face Atletico Madrid.

✍️ Match Preview

Full Analysis

Estadi Mallorca Son Moix plays host to Mallorca versus Atletico Madrid in La Liga, Regular Season - 5. Kick-off: Sunday 21 September 2025 at 15:15 UTC.

Form & Momentum

Mallorca have collected 0.50 PPG across 10 La Liga outings this season: 1W 2D 7L. Last five: D L D L L. They are averaging 0.80 goals per game and conceding 1.60 — a modest attacking output that tempers optimism on the Over 2.5 market. 1 clean sheet from 10 outings provides some defensive foundation. Both teams have scored in 60% of their games — a high BTTS rate that carries real weight in the goals markets. Mallorca have played only a handful of La Liga games so far this season, so this record also draws on matches from last season.

Mallorca's form when playing at home: 3W 4D 3L across 10 games at Estadi Mallorca Son Moix this term (1.30 PPG). At home they are averaging 1.20 goals scored and 1.30 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. Their home PPG of 1.30 is noticeably stronger than their overall 0.50 — Mallorca are significantly better at Estadi Mallorca Son Moix than their overall form suggests.

Atletico Madrid (all games): 5W 3D 2L across 10 La Liga outings this term — 1.80 points per game. Last five: W L D 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. Atletico Madrid have played only a handful of La Liga games so far this season, so this record also draws on matches from last season.

On the road, Atletico Madrid have gone 3W 3D 4L from 10 away fixtures this term (1.20 PPG). Away from home they average 1.30 goals scored and 1.00 conceded per game. Their away PPG of 1.20 is notably below their overall 1.80 — form away from home has been a clear weakness this season.

Atletico Madrid arrive in superior form — a 1.30 PPG advantage (1.80 vs 0.50) that offsets much of the home-ground benefit. The away side are the form pick, with draw protection the sensible way to manage the home-field uncertainty.

Head-to-Head

Neither side has dominated this fixture. The last 8 head-to-head meetings have produced 3 wins for Mallorca, 5 for Atletico Madrid and 0 draws — an even split that leaves the H2H largely neutral as a betting input.

Historically, goals have been at a premium in this fixture — just 1.8 per game from 8 meetings. The Under 2.5 has a clear base rate from the H2H record alone. The most recent clash, on 1 Feb 2025, ended 0–2 with Atletico Madrid winning.

With a balanced win record and just 1.8 goals per game historically, the H2H points toward a tight, low-scoring contest. Under 2.5 goals has the strongest statistical grounding from the fixture history regardless of which side wins.

Trading & In-Play

Mallorca — key trading statistics (42 games, 21 at home): they score before half-time in 57% of fixtures in home games; when goalless at HT, a second-half goal follows 78% of the time; BTTS occurs in 62% of their matches (home games); Over 2.5 goals lands in 48% of games (home games); they fail to score in 36% of games.

Atletico Madrid — key trading statistics (42 games, 21 at away): they score before half-time in 62% of fixtures in away games; when goalless at HT, a second-half goal follows 86% of the time; BTTS occurs in 48% of their matches (away games); Over 2.5 goals lands in 38% of games (away games); they keep a clean sheet 43% of the time.

BTTS rates are mixed from the trading data — Mallorca 52% versus Atletico Madrid 48%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Mallorca 43% | Atletico Madrid 43%).

Poisson Model

The Poisson distribution model projects Mallorca 1.12 xG and Atletico Madrid 1.28 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: Mallorca attack 0.828 / defence 1.115 | Atletico Madrid attack 1.004 / defence 0.930. League average goals — home 1.461 / away 1.140. Data: 42 Mallorca games / 42 Atletico Madrid games used (CurrentSeason).

Result probabilities: Mallorca 32% | Draw 29% | Atletico Madrid 39%. Fair-value odds: Mallorca 3.12 | Draw 3.45 | Atletico Madrid 2.56. This is a low-confidence result — no outcome exceeds 45%. The draw at 29% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 43% | BTTS probability 49% | Total xG 2.40. Under 2.5 has a narrow probability edge at 57% — total xG of 2.40 is below the line but not decisively so. BTTS probability of 49% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Final Verdict

Poisson rates Atletico Madrid as the most likely outcome at 39% — marginal model lean. Current-season form corroborates the Poisson lean — partial multi-source support. Draw probability of 29% warrants consideration of Double Chance or Draw No Bet on Atletico Madrid if the outright odds are short. The opposing side holds a 32% win probability per the model — this is not a banker and should be staked accordingly.

Poisson projects 2.40 total expected goals, pointing to Under 2.5 at 43% probability — reasonable conviction, supported by H2H averaging 1.8 goals per meeting.

On the BTTS market, Poisson puts 49% on No. This conflicts with form data: Mallorca 80% | Atletico Madrid 50% from recent games — a notable divergence.

The outsider holds a 32% 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.

🔮 Your Prediction

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

💡 Key Insights