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 25, 2026 · 15:30 · UTC Strandvallen, Hallevik Not Started

Mjallby AIF
vs
Hammarby FF.

Quick answer

Who will win Mjallby AIF vs Hammarby FF?

1 of 1 AI models pick Mjallby AIF to win (0%).

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

Head-to-head history → Mjallby AIF form Hammarby FF form

1 AI models read this match. The plurality on 1X2 leans toward Mjallby AIF (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 Mjallby AIF and Hammarby FF stand right now
— Consensus

Where the panel lands.

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

Mjallby AIF win 0%

0 / 1 models

Draw 0%

0 / 1 models

Hammarby FF 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: Mjallby AIF vs Hammarby FF

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

Mjallby AIF

4-1-4-1 · XI v Vasteras SK FK, 18 Oct
A. Brännström
18 J. Bergström
18 Bergström
25 M. Nielsen
25 Nielsen
29 Olle Lindberg
29 Lindberg
10 J. Kjær
10 Kjær
14 Villiam Granath
14 Granath
22 J. Gustavsson
22 Gustavsson
5 Abdullah Iqbal
5 Iqbal
24 T. Pettersson
24 Pettersson
4 A. Norén
4 Norén
33 T. Miettinen
33 Miettinen
35 A. Lundin
35 Lundin

Hammarby FF

4-3-3 · XI v Halmstad, 18 Oct
H. Rydström
9 V. Lind
9 Lind
7 P. Abraham
7 Abraham
26 M. Madjed
26 Madjed
5 T. Tekie
5 Tekie
8 M. Karlsson
8 Karlsson
28 F. Adjei
28 Adjei
2 E. Skoglund
2 Skoglund
6 I. Fofana
6 Fofana
3 F. Winther
3 Winther
16 N. Persson
16 Persson
27 F. Jakobsson
27 Jakobsson

Season data

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

Key players · Mjallby AIF

  • J. Bergström 9 G · 0 A · 24 apps

Key players · Hammarby FF

  • V. Lind 9 G · 11 A · 24 apps
  • P. Abraham 14 G · 3 A · 24 apps
  • N. Besara 5 G · 5 A · 21 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 Strandvallen, Hallevik
New at Mjallby AIF P. Colley (Medina United), S. Hansen (ODD Ballklubb), I. Johnsson (Sölvesborg)
— Aggregated insights

What’s moving the panel.

01
Consensus favors Mjallby AIF

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.

Mjallby AIF
#12 · 23 PTS · GD -12
Last 5
L W D L L
3 GF · 6 GA
Recent fixtures
  • Vasteras SK FK 1-0 L
  • Inter Club d'Escaldes 2-0 W
  • Degerfors IF 1-1 D
  • Trollhättan 1-0 L
  • Gais 0-3 L
Team news
A. Samuelsen — Injury V. Gustafson — Suspended A. Noren — Red Card T. Miettinen — Yellow Cards E. Stroud — Injury A. Iqbal — Yellow Cards J. Kjaer — Yellow Cards T. Pettersson — Yellow Cards J. Gustavsson — Yellow Cards T. Stavitski — Inactive V. Dalsgaard — Injury M. Isaksson — Inactive
Hammarby FF
#3 · 46 PTS · GD +29
Last 5
W L W W W
6 GF · 2 GA
Recent fixtures
  • Halmstad 0-1 W
  • Djurgardens IF 0-1 L
  • Vasteras SK FK 1-0 W
  • Degerfors IF 0-1 W
  • IF Brommapojkarna 3-1 W
Team news
D. Collander — Knee Injury T. Tekie — Inactive S. Kone — Knee Injury H. Skoglund — Red Card V. Eriksson — Yellow Cards F. Adjei — Yellow Cards B. Hedlof — Hip Injury N. Persson — Yellow Cards
— Head to head

Last five meetings.

MJA 3 · D 0 · HAM 2

MJA VS HAM
2-1
HOME WIN
May 14, 2026
HAM VS MJA
3-0
HOME WIN
Apr 4, 2026
HAM VS MJA
1-2
AWAY WIN
May 22, 2025
MJA VS HAM
3-1
HOME WIN
Apr 18, 2025
HAM VS MJA
3-0
HOME WIN
Jul 28, 2024

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 Mjallby AIF, 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.

Mjallby AIF
~0%
implied lean
Draw
~0%
implied lean
Hammarby FF
~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 Mjallby AIF 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 Mjallby AIF vs Hammarby FF 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 Mjallby AIF vs Hammarby FF, 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.