EST 0-1 INS · 48% MON 1-1 CLU · 43% GUA 2-0 ATL · 58% COL 1-2 CHI · 49% CLU 2-1 TOL · 54% YOK 1-2 KAW · 47% JEF 1-1 AVI · 42% V-V 1-0 TOK · 44% MAC 2-0 GAM · 62% AME 3-0 EYü · 71% PEC 1-1 ADO · 40% COM 2-0 VEN · 63% CER 1-2 ANT · 50% GET 0-1 SEV · 50% EST 0-1 INS · 48% MON 1-1 CLU · 43% GUA 2-0 ATL · 58% COL 1-2 CHI · 49% CLU 2-1 TOL · 54% YOK 1-2 KAW · 47% JEF 1-1 AVI · 42% V-V 1-0 TOK · 44% MAC 2-0 GAM · 62% AME 3-0 EYü · 71% PEC 1-1 ADO · 40% COM 2-0 VEN · 63% CER 1-2 ANT · 50% GET 0-1 SEV · 50%
UEFA Nations League · League B - 6 Swissporarena, Lucerne Match Finished · 90'

Switzerland
vs
FYR Macedonia.

Quick answer

Who will win Switzerland vs FYR Macedonia?

Final score: Switzerland 3–0 FYR Macedonia. Before kickoff, 10 of 10 AI models pick Switzerland to win (100%); the consensus was right. The AI predicted score was 2–0.

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

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

All 10 AIs agree. When the whole council agrees, it has been right 62% of the time (806 matches).

10 AI models read this match. The plurality on 1X2 leans toward Switzerland (10 of 10 models). The mean predicted score (rounded from all models) is 2–0 at 52% 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.

Switzerland win 100%

10 / 10 models

Draw 0%

0 / 10 models

FYR Macedonia win 0%

0 / 10 models

— Model breakdown

10 picks. Receipts attached.

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

#
Model
Pick
Score
Conf.
Reasoning
01
GPT-6 Luna
Switzerland win
2–0
68%
Switzerland’s stronger squad and home advantage in Lucerne support control, while FYR Macedonia are likelier to create limited chances. With no form or H2H data supplied, confidence remains moderate.
02
Claude Sonnet 5.5
Switzerland win
2–0
62%
Switzerland are a clearly stronger, more experienced squad in League B with home advantage at Lucerne against a weaker Macedonia side.
03
Gemini 3.8 Flash
Switzerland win
2–0
68%
Switzerland possess superior technical quality and defensive solidity at home in Lucerne, making a controlled clean-sheet victory the most probable outcome against North Macedonia.
04
Grok 4.7
Switzerland win
2–0
52%
Switzerland are clearly stronger at home in League B; Macedonia likely sit deep, so a controlled 2-0 is the most plausible exact line with thin form data.
05
DeepSeek V4 Pro
Switzerland win
2–0
58%
Switzerland's stronger squad and home advantage in Lucerne should control a Nations League B match against FYR Macedonia; expect a controlled win with a clean sheet.
06
Qwen 3.8 Max
Switzerland win
2–0
62%
Switzerland significantly stronger squad depth and home advantage at Swissporarena; Macedonia likely to sit deep but struggle to create chances against superior opposition.
07
Mistral Medium 3.5
Switzerland win
2–0
62%
Switzerland stronger squad, home advantage in Lucerne, Macedonia inconsistent away.
08
Kimi K3
Switzerland win
2–0
58%
Switzerland's superior squad depth and home advantage at Swissporarena should prove decisive against a Macedonia side that typically struggles for goals away against top-tier opposition.
09
GLM 5.3
Switzerland win
2–0
58%
Switzerland's superior squad depth and home venue in Lucerne should control this Nations League tie; Macedonia may struggle to score, favoring a clean-sheet home win.
10
MiMo V2.6 Pro
Switzerland win
2–0
62%
Switzerland are strong at home in the Nations League; FYR Macedonia typically struggle away against higher-ranked teams, leading to a controlled home win.
— Scoreline frequency

How often each scoreline showed up.

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

  • 2–0
    10 models
— Aggregated insights

What’s moving the panel.

01
Consensus favors Switzerland

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

02
Medium confidence

Mean 52% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 2.00 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.

Result check

Actual Switzerland win · AI Switzerland win

1X2: Miss Score: Off
— Match context

Form, history, team news.

Switzerland
—
Last 5
W W W W L
12 GF · 4 GA
Recent fixtures
  • FYR Macedonia 3-0 W
  • Slovenia 2-1 W
  • Scotland 0-3 W
  • FYR Macedonia 0-3 W
  • Argentina 3-1 L
Team news

No major injury updates in the current API snapshot.

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.

— Head to head

Last five meetings.

SWI 2 · D 0 · FYR 0

SWI VS FYR
3-0
HOME WIN
Oct 6, 2026
FYR VS SWI
0-3
AWAY WIN
Sep 26, 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 100% of models side with Switzerland, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 0% — 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.

Switzerland
~100%
implied lean
Draw
~0%
implied lean
FYR Macedonia
~0%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 2.00 goals in expectation. A notional totals line near 2.3 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 Switzerland 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 2.00 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: Switzerland 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 Switzerland vs FYR Macedonia 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 (2 - 0; 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 Switzerland win, with vote shares roughly 100% / 0% / 0% home, draw, and away (rounded).

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

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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.