AL- 1-0 AL- · 44% KAI 1-2 PAN · 54% AL- 1-1 ALS · 45% JUV 1-0 REN · 56% ARA 0-2 AZA · 57% DIN 1-0 NEC · 54% FER 2-0 TOR · 59% LEC 1-1 SUN · 46% OFI 0-2 BAY · 61% UNI 1-0 HAP · 54% STU 1-2 MAR · 48% FKC 1-2 FCC · 56% GET 1-2 FCL · 50% FCI 0-1 MJA · 53% AL- 1-0 AL- · 44% KAI 1-2 PAN · 54% AL- 1-1 ALS · 45% JUV 1-0 REN · 56% ARA 0-2 AZA · 57% DIN 1-0 NEC · 54% FER 2-0 TOR · 59% LEC 1-1 SUN · 46% OFI 0-2 BAY · 61% UNI 1-0 HAP · 54% STU 1-2 MAR · 48% FKC 1-2 FCC · 56% GET 1-2 FCL · 50% FCI 0-1 MJA · 53%
Allsvenskan · Regular Season - 26 Oct 29, 2026 · 18:00 · UTC Guldfågeln Arena, Kalmar Not Started

Kalmar FF
vs
Gais.

Quick answer

Who will win Kalmar FF vs Gais?

1 of 1 AI models pick Kalmar FF to win (0%).

Consensus of independent AI models on TuringStats, updated before kickoff. Not betting advice.

Head-to-head history → Kalmar FF form Gais form

1 AI models read this match. The plurality on 1X2 leans toward Kalmar FF (0 of 1 models). The mean predicted score (rounded from all models) is — at 0% mean confidence (Low band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

Allsvenskan table Where Kalmar FF and Gais stand right now
— Consensus

Where the panel lands.

Vote share across models. Read this strip first, then the line-by-line table.

Kalmar FF win 0%

0 / 1 models

Draw 0%

0 / 1 models

Gais win 0%

0 / 1 models

— Model breakdown

0 picks. Receipts attached.

Line-by-line comparison of each system’s call.

#
Model
Pick
Score
Conf.
Reasoning
— Scoreline frequency

How often each scoreline showed up.

Once models publish picks, we rank every predicted scoreline by how many systems chose it—useful for seeing whether the panel clusters or spreads.

  • No score frequency yet.
Team news

Predicted lineups: Kalmar FF vs Gais

Each side's last starting XI, with players ruled out of this match marked. The confirmed lineups replace this about an hour before kickoff.

Kalmar FF

4-2-3-1 · XI v Degerfors IF, 19 Oct
T. Koskela
6 V. Tyren
6 Tyren
24 C. Sagoe
24 Sagoe
21 A. Magashy
21 Magashy
10 M. Söderbäck
10 Söderbäck
5 M. Hallberg
5 Hallberg
17 C. Gustafsson
17 Gustafsson
2 V. Larsson
2 Larsson
4 J. Löfgren
4 Löfgren
39 L. Sætra
39 Sætra
26 M. Ylitolva
26 Ylitolva
1 S. Brolin
1 Brolin

Gais

4-3-3 · XI v Orgryte IS, 18 Oct
F. Holmberg
11 R. Niklasson
11 Niklasson
20 S. Salter
20 Salter
32 O. Pettersson
32 Pettersson
14 S. Jørgensen
14 Jørgensen
7 J. Åberg
7 Åberg
31 C. Gravius
31 Gravius
5 R. Thomasson
5 Thomasson
4 O. Ågren
4 Ågren
22 A. Cardaklija
22 Cardaklija
12 R. Frej
12 Frej
1 M. Krasniqi
1 Krasniqi

Season data

Allsvenskan numbers for both sides, when they score and the players who carry them.

Kalmar FF

4-4-2
W-D-L
6-4-14
Goals
23-38
Clean sheets
3
Failed to score
12
Best win run
1
Penalties
0/0
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Key players · Kalmar FF

  • C. Sagoe 3 G · 8 A · 24 apps

Key players · Gais

  • W. Milovanovic 2 G · 4 A · 19 apps

Top scorers · Allsvenskan

  1. 1 K. Lien Djurgardens IF 16
  2. 2 R. Ure Sirius 15
  3. 3 P. Abraham Hammarby FF 14
  4. 4 I. Bjerkebo Sirius 14
  5. 5 G. Lindgren BK Hacken 12
Venue Guldfågeln Arena, Kalmar
New at Kalmar FF T. Lauritsen (Vejle), J. Löfgren (FC Luzern), K. Paananen (SJK)
— Aggregated insights

What’s moving the panel.

01
Consensus favors Kalmar FF

0% of models lean home — the clearest cluster on this fixture before kickoff.

02
Low confidence

Mean 0% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 0.00 vs 0.00

Derived from predicted scorelines (model means), not live match data — useful for pace vs vote-share sanity checks.

04
Match context

Expected-goals tilt and home-field rhythm (see xG on this page) usually explain whether the game stays open or compresses late.

Ask the Council about this match

Pro

10 AI models vote yes or no with this match's last-5 form, head-to-head, live status and the model picks above attached — not from memory. Then keep asking the same council follow-ups.

— Match context

Form, history, team news.

Kalmar FF
#13 · 22 PTS · GD -15
Last 5
W L D L L
2 GF · 8 GA
Recent fixtures
  • Degerfors IF 1-2 W
  • Malmo FF 1-0 L
  • IFK Norrkoping 0-0 D
  • BK Hacken 0-5 L
  • IF Elfsborg 1-0 L
Team news
A. Keita — Achilles Tendon Injury S. Lawal — Inactive A. Magashy — Inactive M. Stolt — Inactive C. Gustafsson — Inactive A. Sabriye — Inactive E. Imeri — Inactive A. Dari — Injury V. Larsson — Injury N. Shamoun — Inactive J. Kindberg — Inactive K. Paananen — Thigh Injury
Gais
#10 · 30 PTS · GD +5
Last 5
L L W L D
5 GF · 7 GA
Recent fixtures
  • Orgryte IS 4-2 L
  • Sirius 0-1 L
  • Mjallby AIF 0-3 W
  • Djurgardens IF 2-0 L
  • BK Hacken 0-0 D
Team news
F. Beckman — Illness L. Hedlund — Inactive M. Krasniqi — Injury K. Holmen — Injury G. Lundgren — Injury D. Bengtsson — Inactive S. Ekong — Inactive W. Milovanovic — Yellow Cards O. Pettersson — Inactive H. Sletsjoe — Inactive A. Hermansen — Inactive R. Wendin Thomasson — Injury

Confidence trend

Cumulative average confidence in table order.

Not enough points to plot a trend.

Betting tips (AI-signal view)

Educational only — not financial advice. We summarize how the AI picks cluster so you can cross-check with your own staking plan.

  • Lean with the plurality: when 0% of models side with Kalmar FF, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 0% — tight Allsvenskan games often compress toward stalemates when both midfields win the second-ball.
  • If you chase “best bets today” narratives, require alignment between the headline pick and the score-frequency table; conflicting signals usually mean thinner edge.

Odds & analysis (implied probabilities)

Implied fair percentages from the model vote share (normalized to 100%) approximate how a balanced market might price the 1X2 if it mirrored this panel — useful for odds analysis homework even though we do not quote sportsbook ticks here.

Kalmar FF
~0%
implied lean
Draw
~0%
implied lean
Gais
~0%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 0.01 goals in expectation. A notional totals line near 0.3 is consistent with that pace (rounded for readability). If your sportsbook posts a similar number, compare juice and live team news before deciding either side of the total.

Handicap prediction (spread-style read)

When Kalmar FF is priced as the stronger side in the model vote, a −1 handicap narrative only clears if the most common scorelines include multi-goal wins. Cross-check the score-frequency list: if tight one-goal wins dominate, Asian handicaps near pick’em or −0.5 / −0.75 splits often fit the story better than a full −1.5 sell.

BTTS prediction (both teams to score)

With combined offensive weight near 0.01 xG, a heuristic “both teams score” prior lands around 35% yes before defensive adjustments. If several top models forecast clean-sheet pathways, downgrade BTTS enthusiasm even when the raw xG sum looks juicy.

Best bet framing (consensus-led)

Our headline best bet label follows the consensus recommendation: . Pair that with the confidence band (Low) — high dispersion across models usually argues for smaller stake or pass, even when the headline pick looks tempting for a today prediction card on social.

Match overview

Looking for a today prediction on Kalmar FF vs Gais in Allsvenskan? TuringStats aggregates multiple AI scorelines into one readable page so you can see who the models favor, the mean predicted score shown in the hero (—; the frequency chart below lists the most common exact scorelines), and implied splits before kickoff.

This prediction hub is written for readers comparing betting tips-style language with transparent model votes — not a single black-box call. The headline read is , with vote shares roughly 0% / 0% / 0% home, draw, and away (rounded).

If you are asking who will win Kalmar FF vs Gais, start with the consensus strip and model table, then cross-check form and injuries in Match context further down — that order keeps the strongest signals first.

Explore more

Keep browsing today prediction coverage and league hubs.

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— Journal

Articles linked to these clubs or AI forecasting.

Ask multiple AIs about this match.

10 models vote yes or no with this match's last-5 form, head-to-head, live status and our model picks attached — not from memory. Then ask follow-ups to the same council.