JUV 2-0 REN · 59% ARA 1-2 AZA · 54% DIN 1-0 NEC · 55% FER 2-0 TOR · 64% LEC 1-1 SUN · 48% OFI 0-2 BAY · 62% UNI 2-0 HAP · 56% STU 0-1 MAR · 48% FKC 1-2 FCC · 56% GET 1-2 FCL · 50% FCI 0-1 MJA · 53% INT 0-1 UNI · 52% FKJ 0-2 BRI · 59% KAU 0-2 BRA · 62% JUV 2-0 REN · 59% ARA 1-2 AZA · 54% DIN 1-0 NEC · 55% FER 2-0 TOR · 64% LEC 1-1 SUN · 48% OFI 0-2 BAY · 62% UNI 2-0 HAP · 56% STU 0-1 MAR · 48% FKC 1-2 FCC · 56% GET 1-2 FCL · 50% FCI 0-1 MJA · 53% INT 0-1 UNI · 52% FKJ 0-2 BRI · 59% KAU 0-2 BRA · 62%
UEFA Nations League · League B - 6 Oct 3, 2026 · 18:45 · UTC Nacional Arena Todor Proeski, Skopje Match Finished · 90'

FYR Macedonia
vs
Scotland.

Quick answer

Who will win FYR Macedonia vs Scotland?

Final score: FYR Macedonia 0–2 Scotland. Before kickoff, 9 of 10 AI models pick Scotland to win (90%); the consensus was right. The AI predicted score was 0–1.

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

Head-to-head history → FYR Macedonia form Scotland form

10 AI models read this match. The plurality on 1X2 leans toward Scotland (9 of 10 models). The mean predicted score (rounded from all models) is 0–1 at 47% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

— Consensus

Where the panel lands.

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

FYR Macedonia win 0%

0 / 10 models

Draw 10%

1 / 10 models

Scotland win 90%

9 / 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
Scotland win
0–1
56%
Scotland’s greater squad depth and physical strength give them the edge, while FYR Macedonia’s home advantage should keep the match tight. With no form or H2H data supplied, a narrow, low-scoring away win is the most defensible estimate.
02
Claude Sonnet 5
Scotland win
1–2
58%
Scotland's superior squad depth and Nations League pedigree should edge a competitive away trip against a solid but less talented Macedonia side.
03
Gemini 3.8 Flash
Scotland win
0–1
56%
Scotland possess superior technical depth in midfield and defence, likely allowing them to edge a tightly contested, low-scoring away match in Skopje.
04
Grok 4.6
Scotland win
0–1
48%
Thin data and no H2H; Scotland’s higher squad quality in League B should edge a tight Skopje game, most likely by a single away goal.
05
DeepSeek V4 Pro
Scotland win
0–1
61%
Scotland's superior squad depth and Nations League experience edge a tight away fixture; Macedonia's home crowd keeps it low-scoring.
06
Qwen 3.8 Max
Scotland win
0–1
62%
Scotland's superior squad depth and quality should edge this Nations League tie; Macedonia's home advantage at Skopje keeps it tight but unlikely to overcome the gap.
07
Mistral Medium 3.5
Scotland win
0–1
60%
Scotland's Nations League consistency and defensive solidity edge out FYR Macedonia's home form.
08
Kimi K3
Scotland win
0–1
58%
Scotland's deeper squad and Nations League B experience give them an edge in Skopje, but North Macedonia's compact home defense suggests a tight, low-scoring contest decided by a single goal.
09
GLM 5.3
Scotland win
1–2
52%
Scotland's deeper squad and Nations League pedigree edge a tricky Skopje trip; Macedonia's home support keeps it tight but Scotland's attacking quality prevails.
10
MiMo V2.6 Pro
Draw
1–1
58%
UEFA Nations League B match; both teams are mid-tier European sides with limited recent H2H data. A tight, low-scoring draw is a plausible baseline given the competition level and venue.
— Scoreline frequency

How often each scoreline showed up.

7 of 10 models settled on 0–1. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 0–1
    7 models
  • 1–2
    2 models
  • 1–1
    1 model
— Aggregated insights

What’s moving the panel.

01
Consensus favors Scotland

90% of models lean away — the clearest cluster on this fixture before kickoff.

02
Medium confidence

Mean 47% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 0.30 vs 1.20

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.

Result check

Actual Scotland win · AI Scotland win

1X2: Miss Score: Off
— Match context

Form, history, team news.

FYR Macedonia
—
Last 5
L L L L
0 GF · 10 GA
Recent fixtures
  • Switzerland 3-0 L
  • Scotland 0-2 L
  • Slovenia 2-0 L
  • Switzerland 0-3 L
Team news

No major injury updates in the current API snapshot.

Scotland
—
Last 5
L W L D L
3 GF · 8 GA
Recent fixtures
  • Slovenia 1-2 L
  • FYR Macedonia 0-2 W
  • Switzerland 0-3 L
  • Slovenia 0-0 D
  • Brazil 0-3 L
Team news

No major injury updates in the current API snapshot.

— Head to head

Last five meetings.

FYR 0 · D 0 · SCO 1

FYR VS SCO
0-2
AWAY WIN
Oct 3, 2026

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 FYR Macedonia, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 10% — tight UEFA Nations 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.

FYR Macedonia
~0%
implied lean
Draw
~10%
implied lean
Scotland
~90%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 1.50 goals in expectation. A notional totals line near 1.8 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 FYR Macedonia 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 1.50 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: Scotland 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 FYR Macedonia vs Scotland in UEFA Nations 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 - 1; 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 Scotland win, with vote shares roughly 0% / 10% / 90% home, draw, and away (rounded).

If you are asking who will win FYR Macedonia vs Scotland, 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.

Related matches

— 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.