Kalmar vs GAIS prediction

Allsvenskan
KalmarKalmarLLLWL
Thu, 29 Oct 202629/1018:00UK
GAISGAISLWLLD
24.6%Home winFair odds 4.07
27.6%DrawFair odds 3.62
47.8%Away winFair odds 2.09
Most likely published score1-113.1%Fair odds 7.66

MODELS TOP 3

Based on the Road2Sushi model. Not guaranteed outcomes.

Under 3.5 goalsBoth teams combined76.9%
Draw or GAIS75.4%
Over 1.5 goalsBoth teams combined70.8%

Prediction snapshot · 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

GAIS
Match winner (1X2)47.8%
Fair odds2.09
Save model pickSaved to my bets

Top signals

Goals marketUnder 3.5 goals
Model estimateModel76.9%
Fair oddsFair1.30
Double chance marketDraw or GAIS
Model estimateModel75.4%
Fair oddsFair1.33
Both teams to scoreNot both teams to score
Model estimateModel51.3%
Fair oddsFair1.95

Model read

GAIS lead the result estimates at 47.8%. The match still has meaningful room for a draw or an opponent win. Under 2.5 goals has a 55.7% model estimateRead full analysisShow less

GAIS lead the result estimates at 47.8%. The match still has meaningful room for a draw or an opponent win. Under 2.5 goals has a 55.7% model estimate, but the matching market is close at 50.8%. There is no clear model-price separation on this selection. The chance of the event and the attractiveness of its price are different questions.

Under 2.5 goals

Model estimate
55.7%
Matching market
50.8%
Difference
+4.9 pp
Fair odds
1.80
Recorded odds
1.88

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

Not both teams to score

Model estimate
51.3%
Fair odds
1.95

Context & limits

  • Kalmar: 1 wins, 0 draws and 4 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • GAIS: 1 wins, 1 draws and 3 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: Kalmar 0.9 and GAIS 1.2 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 model leans GAIS at 48% when Kalmar host GAIS in the Allsvenskan on 29 October 2026. A lean, though, not a lock. Notably, the model is warmer on GAIS than the market (32%). We flag disagreement rather than hide it. The model expects a tight, grinding game, just 44% on Over 2.5 with both teams to score at 49%. As a promoted side, Kalmar carry exactly the structural uncertainty our priors were built for. The recent series reads 1 wins for Kalmar, 2 draws and 2 for GAIS over 5 games, 3.4 goals on average. Form guide over the last six: Kalmar W1 D0 L5, GAIS W1 D2 L3. Our engine flags this card for possible value; the decision box carries the sized suggestion.

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.

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

1 win · 0 draws · 4 losses

GAISGAISLast 5
L
Loss · 0-2
W
Win · 3-0
L
Loss · 0-1
L
Loss · 2-4
D
Draw · 1-1

1 win · 1 draw · 3 losses

W Win
D Draw
L Loss

Head-to-head

Last 5 meetings

1KalmarKalmar wins
2Draws
2GAISGAIS wins
3.4Average goals
Date
Home team
Score
Away team
GAISGAIS
3 – 0
KalmarKalmar
GAISGAIS
1 – 1
KalmarKalmar
KalmarKalmar
2 – 3
GAISGAIS
GAISGAIS
1 – 2
KalmarKalmar
KalmarKalmar
2 – 2
GAISGAIS

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 28 Oct 2026, 10:56 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: 24.6%
Kalmar

Model minus market: -15.8 pp
Market probability: 40.4%
Model probability: 27.6%
Draw

Model minus market: -0.7 pp
Market probability: 28.3%
Model probability: 47.8%
GAIS

Model minus market: +16.5 pp
Market probability: 31.3%

Goals

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 90.7%
Over 0.5 goals

Model minus market: -1.4 pp
Market probability: 92.2%
Model probability: 9.3%
Under 0.5 goals

Model minus market: +1.4 pp
Market probability: 7.8%
Model probability: 70.8%
Over 1.5 goals

Model minus market: -4.0 pp
Market probability: 74.8%
Model probability: 29.2%
Under 1.5 goals

Model minus market: +4.0 pp
Market probability: 25.2%
Model probability: 44.3%
Over 2.5 goals

Model minus market: -4.3 pp
Market probability: 48.6%
Model probability: 55.7%
Under 2.5 goals

Model minus market: +4.3 pp
Market probability: 51.4%
Model probability: 23.2%
Over 3.5 goals

Model minus market: -4.6 pp
Market probability: 27.8%
Model probability: 76.9%
Under 3.5 goals

Model minus market: +4.6 pp
Market probability: 72.2%
Model probability: 10.2%
Over 4.5 goals

Model minus market: -2.4 pp
Market probability: 12.7%
Model probability: 89.8%
Under 4.5 goals

Model minus market: +2.4 pp
Market probability: 87.4%
Model probability: 3.9%
Over 5.5 goals

Model minus market: -0.9 pp
Market probability: 4.8%
Model probability: 96.1%
Under 5.5 goals

Model minus market: +0.9 pp
Market probability: 95.2%
Model probability: 48.7%
Both teams to score · Yes

Model minus market: -4.9 pp
Market probability: 53.6%
Model probability: 51.3%
Both teams to score · No

Model minus market: +4.9 pp
Market probability: 46.4%

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

Kalmar winBookmaker2.37Model fair4.07Model minus bookmaker probability, percentage points: -17.5 pp
DrawBookmaker3.33Model fair3.62Model minus bookmaker probability, percentage points: -2.4 pp
GAIS winBookmaker2.97Model fair2.09Model minus bookmaker probability, percentage points: +14.1 pp

Goals · 2.5

Over 2.5 goalsBookmaker1.94Model fair2.26Model minus bookmaker probability, percentage points: -7.2 pp
Under 2.5 goalsBookmaker1.88Model fair1.80Model minus bookmaker probability, percentage points: +2.5 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

Kalmar win4.07
Draw3.62
GAIS win2.09
Both teams to score2.05

Goals

Over 0.5 goals1.10
Over 1.5 goals1.41
Over 2.5 goals2.26
Over 3.5 goals4.32
Kalmar most4.07
GAIS most2.09

Totals line guide

Both teams combined.

Over 0.590.7%Over 1.570.8%Over 2.544.3%Over 3.523.2%Over 4.510.2%Over 5.53.9%
Recommended focusOver 1.570.8%

Discipline: Value. We rate this more likely than the price on offer says it is.

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 0.50.5 goals, Low risk
Model probability 90.7%
Fair odds Fair 1.10
Over 1.51.5 goals, Low risk
Model probability 70.8%
Fair odds Fair 1.41
Over 2.52.5 goals, High risk
Model probability 44.3%
Fair odds Fair 2.26
Correct score probabilitiesModel probability / Fair odds
Goal axes Home goals
Away goals 0 1 2 3 4 5
Away goals 0 0-09.3%Fair odds 10.80 1-07.9%Fair odds 12.74 2-04.2%Fair odds 24.10 3-01.4%Fair odds 73.53 4-00.3%Fair odds 303.03 5-00.1%Fair odds 1,428.57
Away goals 1 0-112.1%Fair odds 8.29 1-113.1%Fair odds 7.66 2-16.1%Fair odds 16.39 3-12.0%Fair odds 50.25 4-10.5%Fair odds 204.08 5-10.1%Fair odds 1,000.00
Away goals 2 0-29.3%Fair odds 10.73 1-29.1%Fair odds 10.95 2-24.5%Fair odds 22.32 3-21.5%Fair odds 68.49 4-20.4%Fair odds 277.78 5-20.1%Fair odds 1,428.57
Away goals 3 0-34.6%Fair odds 21.93 1-34.5%Fair odds 22.37 2-32.2%Fair odds 45.66 3-30.7%Fair odds 138.89 4-30.2%Fair odds 555.56 5-30.0%Fair odds 3,333.33
Away goals 4 0-41.7%Fair odds 59.88 1-41.6%Fair odds 60.98 2-40.8%Fair odds 125.00 3-40.3%Fair odds 384.62 4-40.1%Fair odds 1,666.67 5-40.0%Fair odds 10,000.00
Away goals 5 0-50.5%Fair odds 204.08 1-50.5%Fair odds 208.33 2-50.2%Fair odds 416.67 3-50.1%Fair odds 1,250.00 4-50.0%Fair odds 5,000.00 5-50.0%Fair odds ·

Model’s 3 most likely score outcomes

Model probability · Fair odds

1-1
Model probability13.1%
Fair odds7.66
0-1
Model probability12.1%
Fair odds8.29
0-2
Model probability9.3%
Fair odds10.73

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 28 Oct 2026, 12:06 UTC. An assignment can change before kickoff.

Fredrik Klitte in our data
Per match All matches 2026
Matches 38 17
Goals 2.61 2.82
Yellow cards 4.08 3.88
Corners 9.7 9.1
Fouls 27.4 28.0
Both teams scored 47% 47%
Over 2.5 goals 53% 65%
Home wins 40% 35%
Latest 10 matches
Date Match Score Goals BTTS Yellow Red Corners Fouls
18 Oct 2026 Vasteras SK vs Mjallby 1-0 1 No 4 0 9 40
12 Oct 2026 Elfsborg vs Halmstad 4-0 4 No 1 0 12 16
20 Sep 2026 Mjallby vs GAIS 0-3 3 No 5 Not available 5 41
6 Sep 2026 Orgryte vs Hammarby 1-1 2 Yes 2 Not available 10 19
29 Aug 2026 Halmstad vs Kalmar 1-0 1 No 3 Not available 16 19
16 Aug 2026 Djurgarden vs AIK 1-3 4 Yes 6 0 6 32
9 Aug 2026 Malmo FF vs Degerfors 1-2 3 Yes 4 Not available 9 35
25 Jul 2026 Kalmar vs Mjallby 2-1 3 Yes 5 Not available 5 32
18 Jul 2026 AIK vs GAIS 2-0 2 No 2 Not available 9 28
4 Jul 2026 Halmstad vs Vasteras SK 1-3 4 Yes 3 1 11 26

Fredrik Klitte referee stats

Team history with this referee
Team
Kalmar Not available Not available Not available
GAIS 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.

KalmarKalmar
GAISGAIS

Overview

Statistic
Kalmar
GAIS
League position
#13 of 16
#11 of 16
Matches played
25
25
Record W-D-L
6-4-15
8-7-10
Recent form
LLLWL
Last 5 matches
LWLLD
Last 5 matches
Current streak
L1
D1
Points per game
0.88
1.24
Record, home vs away
5-2-5
3-2-7
PPG, home vs away
1.42
0.92

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

Show all season statsHide season stats

Goals

Statistic
Kalmar
GAIS
Goals scored per game
0.92
1.24
Goals conceded per game
1.64
1.04
Scored, home vs away
1.17
1.17
Conceded, home vs away
1.67
1.67
1st half goals per game
0.60
0.44
2nd half goals per game
0.32
0.80

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

Shooting

Statistic
Kalmar
GAIS
Shots per game
13.0
14.8
Shots faced per game
13.1
12.2
Shots on target per game
3.9
5.0
1st half shots per game
—
7.7
2nd half shots per game
—
7.9

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

Corners & discipline

Statistic
Kalmar
GAIS
Corners won per game
4.9
5.3
Cards per game
1.0
—
Fouls per game
12.0
14.1
Red cards this season
0
—

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
Kalmar
GAIS
Over 2.5 rate
52.0%
36.0%
BTTS rate
40.0%
36.0%
Clean sheets
12.0%
40.0%

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

League averages this season: 2.93 goals per match · Over 2.5 in 53.7% · BTTS in 51.7%. 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.

KalmarKalmar
Kalmar: season average per game by half
Per game 1H 2H Games
Goals scoredScored 0.60 0.32 25
Goals concededConceded 0.72 0.92 25
Shots on targetOn target 2.3 1.7 16
Shots on target facedOpp. on target 2.2 2.8 16
Corners wonCorners 2.3 2.1 20
Corners concededOpp. corners 3.0 2.7 20
Yellow cardsYellows 0.4 0.5 25
Opponent yellow cardsOpp. yellows 0.8 1.3 25
GAISGAIS
GAIS: season average per game by half
Per game 1H 2H Games
Goals scoredScored 0.44 0.80 25
Goals concededConceded 0.44 0.60 25
Shots 7.7 7.9 18
Shots facedOpp. shots 5.8 6.0 18
Shots on targetOn target 2.2 2.9 17
Shots on target facedOpp. on target 2.2 1.7 17
Corners wonCorners 2.7 2.8 20
Corners concededOpp. corners 2.6 1.7 20
Yellow cardsYellows 0.8 1.5 24
Opponent yellow cardsOpp. yellows 0.5 0.8 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.

Kalmar clean sheet 23.0%
GAIS clean sheet 37.4%
Kalmar win to nil 13.8%
GAIS win to nil 28.1%

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 24.6% draw 27.6% away 47.8%
double_chance
1X 52.2% 12 72.4% X2 75.4%
dnb
home 34.0% away 66.1%
btts
yes 48.7% no 51.3%
clean_sheet
home 23.0% away 37.5%
win_to_nil
home 13.8% away 28.3%
winning_margin
home_by_1 15.6% home_by_2 6.5% home_by_3plus 2.5%
away_by_1 23.7% away_by_2 14.7% away_by_3plus 9.5%
correct_score
0-0 9.3% 0-1 12.1% 0-2 9.3%
0-3 4.6% 0-4 1.7% 0-5 0.5%
1-0 7.9% 1-1 13.1% 1-2 9.1%
1-3 4.5% 1-4 1.6% 1-5 0.5%
2-0 4.2% 2-1 6.1% 2-2 4.5%
2-3 2.2% 2-4 0.8% 2-5 0.2%
3-0 1.4% 3-1 2.0% 3-2 1.5%
3-3 0.7% 3-4 0.3% 3-5 0.1%
4-0 0.3% 4-1 0.5% 4-2 0.4%
4-3 0.2% 4-4 0.1% 4-5 0.0%
5-0 0.1% 5-1 0.1% 5-2 0.1%
5-3 0.0% 5-4 0.0% 5-5 0.0%
other 0.5%
likeliest_score
h 100.0% a 100.0% p 13.1%
Goals: totals / handicap / exact calibrated
total
over_0.5 90.7% under_0.5 9.3% over_1.5 70.8%
under_1.5 29.2% over_2.5 44.3% under_2.5 55.7%
over_3.5 23.2% under_3.5 76.9% over_4.5 10.2%
under_4.5 89.8% over_5.5 3.9% under_5.5 96.1%
odd_even
odd 48.4% even 51.6%
team_home
over_0.5 62.5% under_0.5 37.5% over_1.5 25.7%
under_1.5 74.3% over_2.5 7.7% under_2.5 92.3%
team_away
over_0.5 77.0% under_0.5 23.0% over_1.5 43.2%
under_1.5 56.9% over_2.5 18.3% under_2.5 81.7%
most
home 24.6% draw 27.6% away 47.8%
handicap
home_-2.5 2.5% away_+2.5 97.5% home_-1.5 9.0%
away_+1.5 91.0% home_-0.5 24.6% away_+0.5 75.4%
home_+0.5 52.2% away_-0.5 47.8% home_+1.5 75.9%
away_-1.5 24.2% home_+2.5 90.5% away_-2.5 9.5%
total_exact
exact_0 9.3% exact_1 19.9% exact_2 26.5%
exact_3 21.1% exact_4 12.9% exact_5 6.3%
exact_6 2.6% exact_7plus 1.3%
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