Gillingham vs Walsall prediction & probabilities (2026-08-15)

League Two

Gillingham vs Walsall Cards

2026-08-15 · 15:00
Cards51.2%Over 3.5 cards

Result

Gillingham 0-3 Walsall

Settled, final score 0-3. We don’t store the live count for this market, so there is no graded verdict here.

Best predictionOver 3.5 cards · 51.2%Close to a coin-flip, barely a lean. Calibrated, not a tip.
51%

model probability

ConvictionLean

Expert AI analysis

Our model lands on Over 3.5 cards at 51.2%, its strongest read on the Cards market. Line by line, the read runs from 72.0% for over 2.5 to 17.4% for over 5.5, with over 3.5 the closest line to a coin-flip at 51.2%. On the card count, Walsall are the model’s pick to pick up more cards at 40.8%, with a level count at 21.5%. Calibrated against real results, we show the read, not a sure thing.

Cards (bookings)

Over 2.572.0%

Over 3.551.2%

Over 4.531.9%

Over 5.517.4%

Total cards, every line

Line Over Under
2.5 cards 72.0% 28.0%
3.5 cards 51.2% 48.8%
4.5 cards 31.9% 68.1%
5.5 cards 17.4% 82.6%

Who picks up more cards

Gillingham37.7%

Level21.5%

★ ModelWalsall40.8%

Team card lines

Gillingham over 1.5

54.5%

Gillingham over 2.5

27.6%

Walsall over 1.5

56.8%

Walsall over 2.5

29.8%

Card handicap

Gillingham line Gillingham Walsall
-1.5 19.7% 80.3%
-0.5 37.7% 62.3%
+0.5 59.2% 40.8%
+1.5 77.9% 22.1%

Red card

Any red card10.5%

Gillingham red card5.0%

Walsall red card5.7%

Fouls

Line Over Under
20.5 fouls 67.7% 32.3%
22.5 fouls 52.5% 47.5%
24.5 fouls 37.5% 62.6%

Recent referees

Team Referee Games Cards/g Team cards/g
Gillingham A Byrne 2 4.0 2.5
Gillingham A Young 2 4.5 2.5
Gillingham C Hicks 2 2.5 2.0
Walsall B Speedie 2 4.5 2.0
Walsall E Swallow 2 5.0 3.0
Walsall O Mackey 2 4.0 2.5

The referees each side has met most this season, with cards per game overall and for that team. We never claim who officiates this match: the appointment is not known before kickoff.

This season (2025/26)

2.2Gillingham cards per game
13.4Gillingham fouls per game
1.8Walsall cards per game
11.3Walsall fouls per game

Card markets are softer and less efficiently priced than goals, these are the model total-booking probabilities for Gillingham vs Walsall. It tips Walsall for the most cards.

In-depth analysis

51.2%Over 3.5 cards
10.5%Any red card
40.8%Most cards: Walsall
54.5%Gillingham over 1.5 cards
56.8%Walsall over 1.5 cards
52.5%Over 22.5 fouls

For the team lines, Gillingham over 1.5 cards sits at 54.5% and Walsall at 56.8%. A red card for either side is rated at 10.5% (Gillingham 5.0%, Walsall 5.7%). Gillingham’s most frequent referee this season, A Byrne, has averaged 4.0 cards a game across 2 of their matches; the appointment for this game is not known before kickoff. This season Gillingham have averaged 2.2 cards a game and Walsall 1.8.

These are calibrated model probabilities, not tips. Calibration is our edge, not beating the market.

Model lenses

Different analytical lenses our model applies to the same calibrated data, not separate tipsters, and never a tip.

The CalibratorRaw model read: 51.2% on Cards, graded against real out-of-sample results, no odds attached.
The Referee WatcherA Byrne, Gillingham’s most frequent referee this season, averages 4.0 cards a game. The appointment is not known before kickoff, so this is context, not a call.
The FlashpointAny red card is rated at 10.5%, a low-probability event, but one that reshapes every line when it lands.
The DisciplinarianWalsall are the pick to collect more cards at 40.8%, the side chasing the game tends to foul more.

FAQ

How many cards in Gillingham vs Walsall?
Before kickoff, the model rated over 3.5 total cards at 51.2% for Gillingham vs Walsall.

Will there be a red card in Gillingham vs Walsall?
Before kickoff, the model rated a red card for either side at 10.5%.

Which team will pick up more cards in Gillingham vs Walsall?
Before kickoff, the model rated Walsall to pick up more cards at 40.8%, with a level count at 21.5%.

How is this probability calculated?
We fit a goals and markets model (Dixon-Coles plus an xG strength model and an ensemble) on real match data, then calibrate the output against out-of-sample results. It is a calibrated model probability, not an odds-derived tip.

Is this a betting tip?
No – these are calibrated model probabilities, graded against real results. We publish our full track record, including the misses, and never claim to beat the closing market.

Cards accuracy

How our Cards calls have actually performed, graded out-of-sample against real results.

61.4%Best Cards call, hit rate
0.0225Calibration error
50,162Matches graded

In 11,059 matches we rated like this one (50–60%), Cards actually happened 55.8% of the time.

Predictions & track record updated 12 Sep 2026. See the full, dated track record →

Our last 10 Cards calls

The model’s most recent graded Cards predictions, out-of-sample. Green means the call hit, red means it missed. The number is the model confidence on each.

✗ 73.8%✓ 80.7%✗ 64.7%✓ 69.3%✗ 51.1%✓ 50.6%✓ 52.9%✓ 64.6%✗ 64.2%✗ 55.7%
5 of 10 recent calls hit.
Estrela vs Sp Braga2026-09-10Over 3.5 73.8%Miss
Panathinaikos vs Kifisia2026-09-10Over 3.5 80.7%Hit
Twente vs Telstar2026-09-09Under 3.5 64.7%Miss
Moreirense vs Benfica2026-09-09Over 3.5 69.3%Hit
Derby vs West Brom2026-09-09Under 3.5 51.1%Miss

More League Two, Cards

All Cards predictions →

Related

Model probabilities, calibration-graded, not a tip. We publish our track record, including the misses. 18+. For information only, not betting advice. If gambling is a problem, visit BeGambleAware.