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%
Pro League · Regular Season - 11 Oct 23, 2026 · 13:30 · UTC Al Majma’a Sport City, Madimaa Not Started

Al-Faisaly FC
vs
Al-Nassr.

Quick answer

Who will win Al-Faisaly FC vs Al-Nassr?

10 of 10 AI models pick Al-Nassr to win (100%). The mean predicted score is 0–2 at 60% average confidence (medium).

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

Head-to-head history → Al-Faisaly FC form Al-Nassr form

All 10 AIs agree. When the whole council agrees, it has been right 62% of the time (556 matches).

10 AI models read this match. The plurality on 1X2 leans toward Al-Nassr (10 of 10 models). The mean predicted score (rounded from all models) is 0–2 at 60% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

Pro League table Where Al-Faisaly FC and Al-Nassr stand right now
— Consensus

Where the panel lands.

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

Al-Faisaly FC win 0%

0 / 10 models

Draw 0%

0 / 10 models

Al-Nassr win 100%

10 / 10 models

— Model breakdown

10 picks. Receipts attached.

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

#
Model
Pick
Score
Conf.
Reasoning
01
GPT-5.6 Luna
Al-Nassr win
0–2
68%
Al-Nassr’s 6W-1D-1L record, 19-7 goal difference and unbeaten scoring record contrast sharply with Al-Faisaly’s 10-17. The visitors’ stronger attack and defensive record make a controlled away win most likely.
02
Claude Sonnet 5
Al-Nassr win
1–2
60%
Al-Nassr's form and attack (19-7, 6W1D1L) dwarf Al-Faisaly's struggles (10-17, 1W4D4L); Faisaly's weak defense should concede but can score at home.
03
Gemini 3.8 Flash
Al-Nassr win
0–2
68%
Al-Nassr are in strong form with 19 goals scored and none failed, while Al-Faisaly have won just once in nine games and concede heavily.
04
Grok 4.6
Al-Nassr win
1–2
50%
Nassr are 6-1-1 with 19 goals and always score; Faisaly are 1-4-4 and leaky. Home may nick one but Nassr should take the points.
05
DeepSeek V4 Pro
Al-Nassr win
0–2
63%
Al-Nassr are clearly stronger: 6W 1D 1L with 19 goals scored and no blanks, while Al-Faisaly have 1 win in 9 and failed to score three times. Away clean sheet fits their defensive record.
06
Qwen 3.8 Max
Al-Nassr win
0–2
55%
Al-Nassr's superior attack (Mané, Félix) meets Al-Faisaly's leaky defense (17 conceded in 9); Al-Nassr's 3 clean sheets suggest Al-Faisaly may fail to score.
07
Mistral Medium 3.5
Al-Nassr win
1–2
62%
Al-Nassr's strong form (6W, 19-7 goals) and attacking depth (Félix, Mané) outweigh Al-Faisaly's inconsistency (1W, 10-17 goals).
08
Kimi K3
Al-Nassr win
0–2
58%
Al-Nassr's superior form (6W 1D 1L) and defensive record (7 goals conceded) should overwhelm Al-Faisaly's struggling attack (failed to score 3 times); away win with clean sheet likely.
09
GLM 5.3
Al-Nassr win
1–2
55%
Al-Nassr's 6W-1L record and 19 goals outclass Al-Faisaly's shaky defense, but Faisaly score at home (Mendy 5 goals), so a narrow 1-2 away win fits.
10
MiMo V2.6 Pro
Al-Nassr win
0–2
62%
Al-Nassr's 7W-1D-1L, 20-7 goals and four clean sheets outweigh Al-Faisaly's 1W-4D-4L and three blanks; Al-Faisaly's home wins over Al-Nassr came against different rosters years ago.
— Scoreline frequency

How often each scoreline showed up.

6 of 10 models settled on 0–2. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 0–2
    6 models
  • 1–2
    4 models
Team news

Predicted lineups: Al-Faisaly FC vs Al-Nassr

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

Al-Faisaly FC

3-4-3 · XI v Al Shabab, 19 Oct
G. Solinas
20 Jaime Seoane
20 Seoane
19 Alexandre Mendy
19 Mendy
24 Abdulaziz Al Bishi
24 Bishi
50 Mohammed Ali Al Shanqiti
50 Shanqiti
14 Abdullah Almuqrin
14 Almuqrin
8 Flávio
8 Flávio
2 Yaseen Barnawi
2 Barnawi
5 Andrei Girotto
5 Girotto
4 A. Seck
4 Seck
Left
87 A. Ba
87 Ba
1 Fernando Pacheco
1 Pacheco

1 of this XI is ruled out of this match or no longer at the club.

Al-Nassr

4-2-3-1 · XI v NEOM, 20 Oct
A. Postecoglou
7 Cristiano Ronaldo
7 Ronaldo
10 S. Mané
10 Mané
79 João Félix
79 Félix
17 Abdullah Al Khaibari
17 Khaibari
20 Ângelo
20 Ângelo
11 Samú Costa
11 Costa
23 Ayman Yahya
23 Yahya
26 Íñigo Martínez
26 Martínez
5 Abdulelah Al Amri
5 Amri
12 Nawaf Boushal
12 Boushal
24 Bento
24 Bento

Season data

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

Al-Faisaly FC

4-1-4-1
W-D-L
1-4-4
Goals
10-17
Clean sheets
2
Failed to score
3
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'

Al-Nassr

4-4-2
W-D-L
7-1-1
Goals
20-7
Clean sheets
4
Failed to score
0
Best win run
4
Penalties
0/1
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Key players · Al-Faisaly FC

  • Alexandre Mendy 5 G · 1 A · 9 apps

Key players · Al-Nassr

  • Ângelo 3 G · 3 A · 8 apps
  • João Félix 3 G · 3 A · 8 apps
  • S. Mané 2 G · 3 A · 9 apps

Top scorers · Pro League

  1. 1 I. Toney Al-Ahli Jeddah 11
  2. 2 Y. En-Nesyri Al-Ittihad FC 7
  3. 3 M. Retegui Al-Qadisiyah FC 6
  4. 4 G. Ilenikhena Al-Ittihad FC 5
  5. 5 Trincão Al-Ahli Jeddah 5
Venue Al Majma’a Sport City, Madimaa
New at Al-Faisaly FC Hussain Al Zarie (Al Diriyah), Flávio (Al Taawon), Ayman Fallatah\t (Al-Ahli Jeddah)
New at Al-Nassr Abdulhadi Al-Alwan (Al-Fateh), Samú Costa (Mallorca), Wesley Gassova (Real Sociedad)
— Aggregated insights

What’s moving the panel.

01
Consensus favors Al-Nassr

100% of models lean away — the clearest cluster on this fixture before kickoff.

02
Medium confidence

Mean 60% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 0.40 vs 2.00

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.

Al-Faisaly FC
#14 · 7 PTS · GD -7
Last 5
D W L D
6 GF · 7 GA
Recent fixtures
  • Al Shabab 2-2 D
  • Al Kholood 3-2 W
  • Abha — ?
  • Al-Ittihad FC 1-3 L
  • Al-Ettifaq 0-0 D
Team news

No major injury updates in the current API snapshot.

Al-Nassr
#3 · 19 PTS · GD +12
Last 5
W W W L D
8 GF · 6 GA
Recent fixtures
  • NEOM 1-0 W
  • Neftchi 3-1 W
  • Al Diriyah 3-0 W
  • Al Ain 4-0 L
  • Al Khaleej Saihat 1-1 D
Team news

No major injury updates in the current API snapshot.

— Head to head

Last five meetings.

ALF 2 · D 0 · ALN 3

ALN VS ALF
4-0
HOME WIN
Jan 15, 2022
ALF VS ALN
2-1
HOME WIN
Aug 19, 2021
ALN VS ALF
4-3
HOME WIN
May 5, 2021
ALN VS ALF
0-1
AWAY WIN
Apr 4, 2021
ALF VS ALN
2-3
AWAY WIN
Dec 31, 2020

Confidence trend

Cumulative average confidence in table order.

First model Last model

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 Al-Faisaly FC, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 0% — tight Pro League 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.

Al-Faisaly FC
~0%
implied lean
Draw
~0%
implied lean
Al-Nassr
~100%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 2.40 goals in expectation. A notional totals line near 2.7 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 Al-Faisaly FC 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 2.40 xG, a heuristic “both teams score” prior lands around 55% 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: Al-Nassr win. Pair that with the confidence band (Medium) — 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 Al-Faisaly FC vs Al-Nassr in Pro League? 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 (0 - 2; 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 Al-Nassr win, with vote shares roughly 0% / 0% / 100% home, draw, and away (rounded).

If you are asking who will win Al-Faisaly FC vs Al-Nassr, 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.