Hammarby vs Sirius prediction

Allsvenskan
HammarbyHammarbyWWLWW
Thu, 29 Oct 202629/1017:30UK
SiriusSiriusWWWDL
55.3%Home winFair odds 1.81
22.8%DrawFair odds 4.39
21.9%Away winFair odds 4.57
Most likely published score1-110.5%Fair odds 9.56

MODELS TOP 3

Based on the Road2Sushi model. Not guaranteed outcomes.

Over 1.5 goalsBoth teams combined82.7%
Hammarby or draw78.1%
Under 3.5 goalsBoth teams combined61.4%

Early prediction · Model generated .

Our verdict

Road2Sushi's own call on this match: the likeliest result, how confident the model is, its strongest signals and the reasons behind them.

Every percentage is a model estimate and every fair price is 1 divided by that estimate. Neither is a bookmaker offer, and a model call is not a proven edge over the market.

Model pick

Hammarby
Match winner (1X2)55.3%
Fair odds1.81
Save model pickSaved to my bets

Top signals

Goals marketOver 1.5 goals
Model estimateModel82.7%
Fair oddsFair1.21
Double chance marketHammarby or draw
Model estimateModel78.1%
Fair oddsFair1.28
Both teams to scoreBoth teams to score
Model estimateModel60.0%
Fair oddsFair1.67

Model read

Hammarby lead the result estimates at 55.3%. The match still has meaningful room for a draw or an opponent win. Over 2.5 goals has a 60.9% model estimRead full analysisShow less

Hammarby lead the result estimates at 55.3%. The match still has meaningful room for a draw or an opponent win. Over 2.5 goals has a 60.9% model estimate, but the matching market is close at 64.3%. There is no clear model-price separation on this selection. The chance of the event and the attractiveness of its price are different questions. The overall match assessment has not cleared the model's betting filters; this market read does not override that decision.

Over 2.5 goals

Model estimate
60.9%
Matching market
64.3%
Difference
-3.3 pp
Fair odds
1.64
Recorded odds
1.49

Margin-adjusted comparison for this selection. The difference is in percentage points, not a proven return.

Both teams to score

Model estimate
60.0%
Fair odds
1.67

Hammarby win

Model estimate
55.3%
Matching market
63.7%
Difference
-8.4 pp
Fair odds
1.81
Recorded odds
1.51

Margin-adjusted comparison for this selection. The difference is in percentage points, not a proven return.

Context & limits

  • Hammarby: 4 wins, 0 draws and 1 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • Sirius: 3 wins, 1 draws and 1 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • The last 5 recorded meetings averaged 3.4 goals. This is a historical sample, not a forecast for this fixture.
  • Recorded season averages: Hammarby 2.1 and Sirius 2.2 goals scored per game. These are team averages, not a forecast of this match total.
  • Prices are recorded observations. This view does not verify that the same price is still available now.
Additional match context

The numbers leave little room for romance here: Hammarby at 55% against Sirius, Allsvenskan, 29 October 2026. The market is more convinced than we are, pricing Hammarby at 64%. Caution noted. Everything in the shot data points to goals, 61% for Over 2.5 with both teams to score at 60%. Form guide over the last six: Hammarby W4 D1 L1, Sirius W4 D1 L1. History adds colour: across the last 5 meetings it is 3 wins for Hammarby, 0 draws and 2 for Sirius at 3.4 goals per match. Verdict: no bet. Too extreme an outsider (fair 0.16).

Form & head-to-head

Recent form uses each club’s available results in their stored order. Select a W/D/L result for details.

Head-to-head figures use their own recorded sample. Where individual results are available, the figures and journal cover the same meetings. Missing results are never counted as draws.

HammarbyHammarbyLast 5
W
Win · 3-1
W
Win · 1-0
L
Loss · 0-1
W
Win · 1-0
W
Win · 2-0

4 wins · 0 draws · 1 loss

SiriusSiriusLast 5
W
Win · 2-0
W
Win · 2-1
W
Win · 1-0
D
Draw · 2-2
L
Loss · 1-2

3 wins · 1 draw · 1 loss

W Win
D Draw
L Loss

Head-to-head

Last 5 meetings

3HammarbyHammarby wins
0Draws
2SiriusSirius wins
3.4Average goals
Date
Home team
Score
Away team
SiriusSirius
2 – 0
HammarbyHammarby
SiriusSirius
3 – 1
HammarbyHammarby
HammarbyHammarby
3 – 2
SiriusSirius
SiriusSirius
0 – 3
HammarbyHammarby
HammarbyHammarby
3 – 0
SiriusSirius

Odds: model vs bookmaker

Every price for this match in one place: the model's probabilities next to the bookmaker's, the bookmaker's prices with our gap, and the model's own fair odds for each market.

Bookmaker probabilities are de-vigged (the margin is removed) and come from one bookmaker. A gap between the model and that bookmaker is a disagreement, not a proven edge. Fair odds are 1 divided by the model probability, not a bookmaker quote.

Model vs market

Model estimates and recorded bookmaker probabilities.

1X2, Goals and Corners: Bet365 prices via API-Football, observed 27 Oct 2026, 18:59 UTC, with the bookmaker margin taken out.

A market probability is the bookmaker's own price with its margin taken out, so the outcomes of each line add up to 100%. A gap from our model is a disagreement, not a proven edge: when we tested 1X2 and goal totals on matches the model had never seen, the bookmaker's closing price was more accurate. For corners, cards and shots we have no such test.

1X2

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 55.3%
Hammarby

Model minus market: -7.4 pp
Market probability: 62.7%
Model probability: 22.8%
Draw

Model minus market: +1.0 pp
Market probability: 21.8%
Model probability: 21.9%
Sirius

Model minus market: +6.4 pp
Market probability: 15.5%

Goals

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 95.2%
Over 0.5 goals

Model minus market: -1.2 pp
Market probability: 96.4%
Model probability: 4.8%
Under 0.5 goals

Model minus market: +1.2 pp
Market probability: 3.6%
Model probability: 82.7%
Over 1.5 goals

Model minus market: -2.1 pp
Market probability: 84.8%
Model probability: 17.3%
Under 1.5 goals

Model minus market: +2.1 pp
Market probability: 15.2%
Model probability: 60.9%
Over 2.5 goals

Model minus market: -2.4 pp
Market probability: 63.3%
Model probability: 39.1%
Under 2.5 goals

Model minus market: +2.4 pp
Market probability: 36.7%
Model probability: 38.6%
Over 3.5 goals

Model minus market: -3.3 pp
Market probability: 41.9%
Model probability: 61.4%
Under 3.5 goals

Model minus market: +3.3 pp
Market probability: 58.1%
Model probability: 21.0%
Over 4.5 goals

Model minus market: -2.3 pp
Market probability: 23.3%
Model probability: 79.0%
Under 4.5 goals

Model minus market: +2.3 pp
Market probability: 76.7%
Model probability: 10.0%
Over 5.5 goals

Model minus market: -1.7 pp
Market probability: 11.7%
Model probability: 90.0%
Under 5.5 goals

Model minus market: +1.7 pp
Market probability: 88.3%
Model probability: 60.0%
Both teams to score · Yes

Model minus market: +0.4 pp
Market probability: 59.6%
Model probability: 40.0%
Both teams to score · No

Model minus market: -0.4 pp
Market probability: 40.4%

Cards

No estimates available for this market.

Corners

No estimates available for this market.

Shots

No estimates available for this market.

Bookmaker odds

Real bookmaker price (APIF:Pinnacle:4) next to our model fair price. Bookmaker prices include the bookmaker margin, so our margin-free fair price usually looks longer. We do not claim to beat the closing market.

Gap is our probability minus the probability the bookmaker price implies (1 divided by the price), in percentage points. Because the price includes the margin, most gaps are negative. Model highlights are outcomes where our probability is at least 15 points higher. A gap is a disagreement, not a proven edge.

Match result · 1X2

Hammarby winBookmaker1.51Model fair1.81Model minus bookmaker probability, percentage points: -10.9 pp
DrawBookmaker4.57Model fair4.39Model minus bookmaker probability, percentage points: +0.9 pp
Sirius winBookmaker5.50Model fair4.57Model minus bookmaker probability, percentage points: +3.7 pp

Goals · 2.5

Over 2.5 goalsBookmaker1.49Model fair1.64Model minus bookmaker probability, percentage points: -6.1 pp
Under 2.5 goalsBookmaker2.59Model fair2.56Model minus bookmaker probability, percentage points: +0.4 pp

Model fair odds

Our published model probability as a decimal price (1 divided by probability). A fair model price, not a bookmaker quote. Only the supported 1X2 calibration pool is calibrated; other markets retain their model estimates.

Match result

Hammarby win1.81
Draw4.39
Sirius win4.57
Both teams to score1.67

Goals

Over 1.5 goals1.21
Over 2.5 goals1.64
Over 3.5 goals2.59
Over 4.5 goals4.76
Hammarby most1.81
Sirius most4.56

Totals line guide

Both teams combined.

Over 0.595.2%Over 1.582.7%Over 2.560.9%Over 3.538.6%Over 4.521.0%Over 5.510.0%
Recommended focusOver 2.560.9%

Discipline: Fairly priced. Too extreme an outsider (fair 0.16).

Read context

Both teams combined. Each bar uses the stored model estimate for that exact total-goals line. Missing estimates are unavailable; they are not zero.

Fair odds are the model’s own probability price, not a published bookmaker offer.

Market explorer

Model probabilities and fair odds.

Each bar is a specific Over selection for both teams combined. Its height is the model probability, on the same 0–100% scale.

Risk describes estimated likelihood, not profitability: low risk at least 62%, medium 48% to under 62%, high below 48%. Colors follow the actual estimate, even when a risk band is missing.

Up to four markets are selected from available model data, prioritising a spread of risk profiles. Fair odds are calculated from the model, not bookmaker prices: 1 divided by probability.

Scores are exact home-away outcomes from zero to five goals per team. Unavailable estimates stay blank; partial inputs are not expanded, inferred or normalised. Scores outside the matrix remain eligible for the top three.

Low riskMedium riskHigh risk

Goals

Over 1.51.5 goals, Low risk
Model probability 82.7%
Fair odds Fair 1.21
Over 2.52.5 goals, Medium risk
Model probability 60.9%
Fair odds Fair 1.64
Over 3.53.5 goals, High risk
Model probability 38.6%
Fair odds Fair 2.59
Correct score probabilitiesModel probability / Fair odds
Goal axes Home goals
Away goals 0 1 2 3 4 5
Away goals 0 0-04.8%Fair odds 20.88 1-08.0%Fair odds 12.55 2-08.3%Fair odds 11.99 3-05.5%Fair odds 18.25 4-02.7%Fair odds 37.04 5-01.1%Fair odds 94.34
Away goals 1 0-14.6%Fair odds 21.98 1-110.5%Fair odds 9.56 2-19.8%Fair odds 10.18 3-16.5%Fair odds 15.50 4-13.2%Fair odds 31.45 5-11.3%Fair odds 80.00
Away goals 2 0-23.0%Fair odds 33.67 1-25.9%Fair odds 17.06 2-25.8%Fair odds 17.30 3-23.8%Fair odds 26.32 4-21.9%Fair odds 53.48 5-20.7%Fair odds 135.14
Away goals 3 0-31.2%Fair odds 85.47 1-32.3%Fair odds 43.48 2-32.3%Fair odds 44.05 3-31.5%Fair odds 67.11 4-30.7%Fair odds 136.99 5-30.3%Fair odds 344.83
Away goals 4 0-40.3%Fair odds 294.12 1-40.7%Fair odds 147.06 2-40.7%Fair odds 149.25 3-40.4%Fair odds 227.27 4-40.2%Fair odds 454.55 5-40.1%Fair odds 1,111.11
Away goals 5 0-50.1%Fair odds 1,250.00 1-50.2%Fair odds 625.00 2-50.2%Fair odds 625.00 3-50.1%Fair odds 1,000.00 4-50.1%Fair odds 2,000.00 5-50.0%Fair odds 5,000.00

Model’s 3 most likely score outcomes

Model probability · Fair odds

1-1
Model probability10.5%
Fair odds9.56
2-1
Model probability9.8%
Fair odds10.18
2-0
Model probability8.3%
Fair odds11.99

Referee

One match referee is shown from an explicitly saved result or a fresh, identity-matched provider fixture. Previous referees are never used to guess an appointment. An API listing can change.

The referee’s totals count every completed match with this referee in our data: football-data.co.uk names the referee in English leagues, and API-Football names the referee of the same match (same teams, date and score) in every league from 2025/26. A rate needs at least 5 matches with that figure.

The team table shows each team’s published history with that same referee only. Matches, team cards per game and match cards per game are separate fields; their available samples can differ. Missing values are not zero. Cards include yellow and red cards in the current historical source.

Assigned per API-Football, seen 27 Oct 2026, 23:59 UTC. An assignment can change before kickoff.

Glenn Nyberg in our data
Per match All matches 2026
Matches 24 11
Goals 2.83 2.55
Yellow cards 3.83 3.55
Corners 10.3 9.2
Fouls 28.0 25.5
Both teams scored 63% 55%
Over 2.5 goals 46% 36%
Home wins 21% 18%
Latest 10 matches
Date Match Score Goals BTTS Yellow Red Corners Fouls
23 Oct 2026 Vasteras SK vs Halmstad 1-2 3 Yes 1 0 11 13
18 Oct 2026 Malmo FF vs Hacken 0-1 1 No 5 0 18 25
16 Sep 2026 AIK vs Mjallby 1-1 2 Yes 4 0 14 29
5 Sep 2026 GAIS vs Hacken 0-0 0 No 2 Not available 8 26
30 Aug 2026 AIK vs Hammarby 3-2 5 Yes 5 0 8 27
23 Aug 2026 Vasteras SK vs Kalmar 0-0 0 No 3 Not available 7 27
8 Aug 2026 Orgryte vs AIK 3-4 7 Yes 2 1 7 21
19 May 2026 Orgryte vs Goteborg 2-3 5 Yes 5 Not available 12 26
26 Apr 2026 Djurgarden vs Hammarby 1-1 2 Yes 2 Not available 3 28
17 Apr 2026 Degerfors vs Elfsborg 0-1 1 No 8 Not available 8 32

Glenn Nyberg referee stats

Team history with this referee
Team
Hammarby 3 Not available Not available
Sirius Not available Not available Not available

No matching history for this referee is available for one or both teams.

Season stats

2026 season. Recorded results, not model estimates.

HammarbyHammarby
SiriusSirius

Overview

Statistic
Hammarby
Sirius
League position
#2 of 16
#1 of 16
Matches played
25
25
Record W-D-L
15-4-6
17-4-4
Recent form
WWLWW
Last 5 matches
WWWDL
Last 5 matches
Current streak
W2
L1
Points per game
1.96
2.20
Record, home vs away
9-1-2
10-1-1
PPG, home vs away
2.33
2.58

PPG scale: 0–3 points per game. Each team uses the same scale independently.

Show all season statsHide season stats

Goals

Statistic
Hammarby
Sirius
Goals scored per game
2.08
2.24
Goals conceded per game
0.84
1.28
Scored, home vs away
2.83
2.33
Conceded, home vs away
0.58
1.08
1st half goals per game
0.92
1.16
2nd half goals per game
1.16
1.08

Scale: 0–3 goals or expected goals (xG) per game. Each team uses the same scale independently.

Shooting

Statistic
Hammarby
Sirius
Shots per game
19.1
14.5
Shots faced per game
9.9
13.1
Shots on target per game
7.8
5.4
1st half shots per game
—
6.8
2nd half shots per game
—
7.9

Scale: 0–20 shots per game. Each team uses the same scale independently.

Corners & discipline

Statistic
Hammarby
Sirius
Corners won per game
6.8
5.9
Cards per game
1.2
—
Fouls per game
11.5
11.8
Red cards this season
1
—

0–10 corners per game; 0–5 cards per game; 0–20 fouls per game Each team uses the same scale independently.

Goal rates

Statistic
Hammarby
Sirius
Over 2.5 rate
48.0%
72.0%
BTTS rate
44.0%
60.0%
Clean sheets
44.0%
32.0%

Scale: 0–100% of recorded matches, not model estimates. Each team uses the same scale independently.

League averages this season: 2.92 goals per match · Over 2.5 in 53.5% · BTTS in 51.5%. Full league tables & stats →

First half / second half

Averages per game in this season’s league matches, split at half-time. Games is the number of each team’s matches with verified half data for that row; below five matches the row stays blank, and a missing value is never a zero.

Corners, shots on target and yellow cards per half come from the data provider’s half-by-half match statistics and are only used when the two halves add up to the full-time count. Cards are split by the minute they were shown, and first-half stoppage time counts as the first half. These are recorded results, not predictions.

In the Premier League, La Liga, Bundesliga, Serie A and Ligue 1 the shots per half come from a different source than the match shot totals, so the two can differ slightly.

HammarbyHammarby
Hammarby: season average per game by half
Per game 1H 2H Games
Goals scoredScored 0.92 1.16 25
Goals concededConceded 0.40 0.44 25
Shots on targetOn target 3.7 4.3 19
Shots on target facedOpp. on target 1.1 1.5 19
Corners wonCorners 3.9 3.2 19
Corners concededOpp. corners 0.8 1.5 19
Yellow cardsYellows 0.3 1.0 23
Opponent yellow cardsOpp. yellows 0.4 1.4 23
SiriusSirius
Sirius: season average per game by half
Per game 1H 2H Games
Goals scoredScored 1.16 1.08 25
Goals concededConceded 0.56 0.72 25
Shots 6.8 7.9 17
Shots facedOpp. shots 6.7 7.0 17
Shots on targetOn target 2.6 3.1 17
Shots on target facedOpp. on target 2.4 1.8 17
Corners wonCorners 3.3 2.7 20
Corners concededOpp. corners 2.6 2.8 20
Yellow cardsYellows 0.6 0.7 24
Opponent yellow cardsOpp. yellows 0.6 1.0 24
All model outcomes · full market spectrum & player markets

Shots

Shots on target

Cards

Clean sheet & win to nil

Worked out from the scoreline grid above: a clean sheet is every scoreline where the other side fails to score. It is the model’s own percentage, scored against the result afterwards, and it is not a tip.

Hammarby clean sheet 30.3%
Sirius clean sheet 13.9%
Hammarby win to nil 25.6%
Sirius win to nil 9.1%

Full market spectrum · model probabilities

The model’s own percentages, with no odds attached. The smaller markets are here so you can see everything we hold a number on, not because we claim an advantage in them. The colour says how close our percentages have landed to reality on matches the model had never seen. This is the raw model spectrum. Its match-result marginal can differ from the published 1X2 above; it does not replace the saved prediction.

Match result & goals calibrated
1×2
home 55.3% draw 22.8% away 21.9%
double_chance
1X 78.1% 12 77.3% X2 44.7%
dnb
home 71.6% away 28.4%
btts
yes 60.0% no 40.0%
clean_sheet
home 30.8% away 13.9%
win_to_nil
home 26.0% away 9.1%
winning_margin
home_by_1 22.4% home_by_2 17.0% home_by_3plus 15.9%
away_by_1 13.2% away_by_2 6.1% away_by_3plus 2.7%
correct_score
0-0 4.8% 0-1 4.6% 0-2 3.0%
0-3 1.2% 0-4 0.3% 0-5 0.1%
1-0 8.0% 1-1 10.5% 1-2 5.9%
1-3 2.3% 1-4 0.7% 1-5 0.2%
2-0 8.3% 2-1 9.8% 2-2 5.8%
2-3 2.3% 2-4 0.7% 2-5 0.2%
3-0 5.5% 3-1 6.5% 3-2 3.8%
3-3 1.5% 3-4 0.4% 3-5 0.1%
4-0 2.7% 4-1 3.2% 4-2 1.9%
4-3 0.7% 4-4 0.2% 4-5 0.1%
5-0 1.1% 5-1 1.3% 5-2 0.7%
5-3 0.3% 5-4 0.1% 5-5 0.0%
other 1.7%
likeliest_score
h 100.0% a 100.0% p 10.5%
Goals: totals / handicap / exact calibrated
total
over_0.5 95.2% under_0.5 4.8% over_1.5 82.7%
under_1.5 17.3% over_2.5 60.9% under_2.5 39.1%
over_3.5 38.6% under_3.5 61.4% over_4.5 21.0%
under_4.5 79.0% over_5.5 10.0% under_5.5 90.0%
odd_even
odd 48.9% even 51.1%
team_home
over_0.5 86.1% under_0.5 13.9% over_1.5 58.6%
under_1.5 41.4% over_2.5 31.6% under_2.5 68.5%
team_away
over_0.5 69.2% under_0.5 30.8% over_1.5 32.9%
under_1.5 67.1% over_2.5 11.6% under_2.5 88.4%
most
home 55.3% draw 22.8% away 21.9%
handicap
home_-2.5 15.9% away_+2.5 84.1% home_-1.5 32.9%
away_+1.5 67.1% home_-0.5 55.3% away_+0.5 44.7%
home_+0.5 78.1% away_-0.5 21.9% home_+1.5 91.3%
away_-1.5 8.8% home_+2.5 97.3% away_-2.5 2.7%
total_exact
exact_0 4.8% exact_1 12.5% exact_2 21.8%
exact_3 22.3% exact_4 17.6% exact_5 11.1%
exact_6 5.8% exact_7plus 4.2%
Method, limits & performance

How this works (honestly)

We are transparent about our method, our limits and how we measure performance.

What we use

Results, odds & closing prices, xG, shots, lineups, referee and schedule load.

Our method

Dixon-Coles + an xG strength model + champion/challenger selection + probability calibration + a trust gate.

What we don’t do

We do not beat the sharp market. The value is honest probabilities, No-bet calls and CLV.

Performance snapshot

Top-pick hit rate 47.7% (reliability, not edge). Calibration error 0.0106 (56038 matches).

Not financial advice. No model beats the sharp closing market on public data. The value here is honest probabilities, No-bet calls, and CLV history.

Explore this match