Forecast as of 3 Nov 2026 · updated 3 Nov 2026, 3:20 PM ET
Rugby World Cup 2027 forecast
Chances for every team at the Men's Rugby World Cup in Australia (1 Oct–13 Nov 2027): 24 teams in six pools of four; the top two in each pool and the four best third-placed teams reach the round of 16. Each number comes from simulating the whole tournament 100,000 times. Before the tournament: no matches played yet.
Title chances
- South Africa32.7%
- New Zealand29.9%
- Ireland13.1%
- France7.9%
- Australia7.0%
- England5.4%
- Scotland2.6%
- Argentina1.4%
- Fiji<0.1%
- Wales<0.1%
How far each team goes
Chance of reaching each stage (exiting in the pools for the first column).
| Team | Pool | Out in pools | Round of 16 | Quarter-final | Semi-final | Final | Win |
|---|---|---|---|---|---|---|---|
| South Africa | B | <0.1% | >99.9% | 99.5% | 57.7% | 45.0% | 32.7% |
| New Zealand | A | <0.1% | >99.9% | 99.2% | 55.8% | 43.0% | 29.9% |
| Ireland | D | <0.1% | >99.9% | 83.0% | 67.0% | 33.4% | 13.1% |
| France | E | <0.1% | >99.9% | 60.6% | 51.6% | 15.4% | 7.9% |
| Australia | A | <0.1% | >99.9% | 93.3% | 46.5% | 24.4% | 7.0% |
| England | F | <0.1% | >99.9% | 90.3% | 40.4% | 19.6% | 5.4% |
| Scotland | D | <0.1% | >99.9% | 53.3% | 37.0% | 10.1% | 2.6% |
| Argentina | C | <0.1% | >99.9% | 92.4% | 29.4% | 8.1% | 1.4% |
| Fiji | C | 0.3% | 99.7% | 54.5% | 6.2% | 0.4% | <0.1% |
| Wales | F | 0.1% | 99.9% | 47.6% | 5.2% | 0.3% | <0.1% |
| Italy | B | 2.9% | 97.1% | 12.3% | 1.6% | 0.2% | <0.1% |
| Japan | E | 3.1% | 96.9% | 6.1% | 0.9% | 0.1% | <0.1% |
| Georgia | B | 9.5% | 90.5% | 5.3% | 0.6% | <0.1% | <0.1% |
| Tonga | F | 40.1% | 59.9% | 0.8% | <0.1% | <0.1% | <0.1% |
| Chile | A | 62.3% | 37.7% | 0.7% | <0.1% | <0.1% | <0.1% |
| Spain | C | 44.2% | 55.8% | 0.5% | <0.1% | <0.1% | <0.1% |
| Samoa | E | 58.5% | 41.5% | 0.3% | <0.1% | <0.1% | <0.1% |
| USA | E | 65.8% | 34.2% | 0.2% | <0.1% | <0.1% | <0.1% |
| Portugal | D | 62.6% | 37.4% | 0.1% | <0.1% | <0.1% | <0.1% |
| Uruguay | D | 82.9% | 17.1% | <0.1% | <0.1% | <0.1% | <0.1% |
| Canada | C | 84.8% | 15.2% | <0.1% | <0.1% | <0.1% | <0.1% |
| Hong Kong China | A | 94.3% | 5.7% | <0.1% | <0.1% | <0.1% | <0.1% |
| Zimbabwe | F | 92.0% | 8.0% | <0.1% | <0.1% | <0.1% | <0.1% |
| Romania | B | 96.7% | 3.3% | <0.1% | <0.1% | <0.1% | <0.1% |
Pools
Chance of each finishing position, and of reaching the round of 16.
Pool A
| Team | 1st | 2nd | 3rd | 4th | R16 |
|---|---|---|---|---|---|
| New Zealand | 77.3% | 22.7% | <0.1% | <0.1% | >99.9% |
| Australia | 22.7% | 77.2% | 0.1% | <0.1% | >99.9% |
| Chile | <0.1% | 0.1% | 78.9% | 21.0% | 37.7% |
| Hong Kong China | <0.1% | <0.1% | 21.0% | 79.0% | 5.7% |
Pool B
| Team | 1st | 2nd | 3rd | 4th | R16 |
|---|---|---|---|---|---|
| South Africa | 98.5% | 1.5% | <0.1% | <0.1% | >99.9% |
| Italy | 1.2% | 63.2% | 34.3% | 1.3% | 97.1% |
| Georgia | 0.3% | 34.9% | 60.4% | 4.3% | 90.5% |
| Romania | <0.1% | 0.4% | 5.2% | 94.3% | 3.3% |
Pool C
| Team | 1st | 2nd | 3rd | 4th | R16 |
|---|---|---|---|---|---|
| Argentina | 78.5% | 21.2% | 0.3% | <0.1% | >99.9% |
| Fiji | 21.4% | 73.8% | 4.6% | 0.2% | 99.7% |
| Spain | 0.1% | 4.3% | 69.0% | 26.5% | 55.8% |
| Canada | <0.1% | 0.6% | 26.1% | 73.3% | 15.2% |
Pool D
| Team | 1st | 2nd | 3rd | 4th | R16 |
|---|---|---|---|---|---|
| Ireland | 68.4% | 31.4% | 0.1% | <0.1% | >99.9% |
| Scotland | 31.6% | 67.4% | 1.0% | <0.1% | >99.9% |
| Portugal | <0.1% | 0.9% | 62.6% | 36.4% | 37.4% |
| Uruguay | <0.1% | 0.2% | 36.2% | 63.5% | 17.1% |
Pool E
| Team | 1st | 2nd | 3rd | 4th | R16 |
|---|---|---|---|---|---|
| France | 95.6% | 4.4% | <0.1% | <0.1% | >99.9% |
| Japan | 4.4% | 80.5% | 12.8% | 2.4% | 96.9% |
| Samoa | <0.1% | 8.5% | 46.7% | 44.8% | 41.5% |
| USA | <0.1% | 6.6% | 40.6% | 52.8% | 34.2% |
Pool F
| Team | 1st | 2nd | 3rd | 4th | R16 |
|---|---|---|---|---|---|
| England | 88.5% | 11.5% | <0.1% | <0.1% | >99.9% |
| Wales | 11.5% | 84.6% | 3.9% | 0.1% | 99.9% |
| Tonga | <0.1% | 3.8% | 78.2% | 18.1% | 59.9% |
| Zimbabwe | <0.1% | 0.2% | 17.9% | 81.9% | 8.0% |
Knockout bracket
For each knockout match, the three most likely pairings.
Round of 16
- Fiji v Wales62.5%
- Argentina v Wales17.9%
- Fiji v England8.5%
- New Zealand v Spain39.6%
- Australia v Spain11.8%
- New Zealand v Canada11.3%
- France v Scotland64.4%
- France v Ireland30.0%
- Japan v Scotland2.9%
- South Africa v Portugal36.0%
- South Africa v Uruguay16.6%
- South Africa v Samoa13.8%
- Argentina v Chile29.5%
- Argentina v Tonga26.5%
- Fiji v Chile8.0%
- Ireland v Georgia37.8%
- Ireland v Italy22.4%
- Scotland v Georgia17.5%
- Australia v Japan62.1%
- New Zealand v Japan18.3%
- Australia v Samoa6.6%
- England v Italy55.9%
- England v Georgia30.9%
- Wales v Italy7.3%
Quarter-finals
- New Zealand v South Africa75.8%
- Australia v South Africa22.0%
- New Zealand v Italy0.8%
- Wales v France23.3%
- Fiji v France20.2%
- Wales v Scotland9.8%
- Argentina v Ireland50.9%
- Argentina v Scotland22.3%
- Fiji v Ireland13.2%
- Australia v England57.0%
- New Zealand v England17.8%
- Australia v Italy6.2%
Semi-finals
- South Africa v France28.6%
- New Zealand v France19.0%
- South Africa v Scotland10.4%
- Ireland v Australia21.7%
- Ireland v England18.9%
- Argentina v Australia10.4%
Final
- South Africa v Ireland12.6%
- New Zealand v Ireland9.4%
- South Africa v Australia8.8%
Pool matches
Win chances and expected winning margin (points) for all 36 pool matches.
| Date | Pool | Team A | A wins | Draw | B wins | Team B | Expected margin | Venue | Result |
|---|---|---|---|---|---|---|---|---|---|
| 1 Oct 2027 | A | Australia | >99.9% | <0.1% | <0.1% | Hong Kong China | Australia by 55 | Perth Stadium, Perth | |
| 2 Oct 2027 | F | Wales | 99.4% | 0.1% | 0.5% | Zimbabwe | Wales by 38 | Adelaide Oval, Adelaide | |
| 2 Oct 2027 | A | New Zealand | >99.9% | <0.1% | <0.1% | Chile | New Zealand by 54 | Perth Stadium, Perth | |
| 2 Oct 2027 | E | France | 99.8% | <0.1% | 0.2% | USA | France by 43 | Docklands Stadium, Melbourne | |
| 2 Oct 2027 | F | England | 99.7% | 0.1% | 0.2% | Tonga | England by 42 | Brisbane Stadium, Brisbane | |
| 3 Oct 2027 | E | Japan | 86.9% | 1.3% | 11.8% | Samoa | Japan by 17 | Newcastle Stadium, Newcastle | |
| 3 Oct 2027 | B | South Africa | 98.2% | 0.3% | 1.5% | Italy | South Africa by 32 | Adelaide Oval, Adelaide | |
| 3 Oct 2027 | D | Scotland | 99.3% | 0.1% | 0.5% | Uruguay | Scotland by 38 | Docklands Stadium, Melbourne | |
| 3 Oct 2027 | B | Georgia | 94.0% | 0.8% | 5.2% | Romania | Georgia by 24 | North Queensland Stadium, Townsville | |
| 4 Oct 2027 | C | Fiji | 93.6% | 0.8% | 5.6% | Spain | Fiji by 23 | Newcastle Stadium, Newcastle | |
| 4 Oct 2027 | D | Ireland | 99.5% | 0.1% | 0.4% | Portugal | Ireland by 40 | Sydney Football Stadium, Sydney | |
| 4 Oct 2027 | C | Argentina | 99.8% | 0.1% | 0.2% | Canada | Argentina by 43 | Brisbane Stadium, Brisbane | |
| 8 Oct 2027 | F | Wales | 94.9% | 0.7% | 4.4% | Tonga | Wales by 25 | Docklands Stadium, Melbourne | |
| 8 Oct 2027 | F | England | >99.9% | <0.1% | <0.1% | Zimbabwe | England by 56 | Adelaide Oval, Adelaide | |
| 9 Oct 2027 | E | USA | 44.9% | 2.6% | 52.5% | Samoa | Samoa by 1 | Perth Stadium, Perth | |
| 9 Oct 2027 | A | New Zealand | 75.9% | 2.0% | 22.1% | Australia | New Zealand by 11 | Stadium Australia, Sydney | |
| 9 Oct 2027 | E | France | 94.4% | 0.8% | 4.9% | Japan | France by 24 | Brisbane Stadium, Brisbane | |
| 9 Oct 2027 | A | Chile | 77.8% | 1.8% | 20.4% | Hong Kong China | Chile by 12 | North Queensland Stadium, Townsville | |
| 10 Oct 2027 | C | Fiji | 98.2% | 0.3% | 1.5% | Canada | Fiji by 32 | Adelaide Oval, Adelaide | |
| 10 Oct 2027 | C | Argentina | 98.8% | 0.2% | 1.0% | Spain | Argentina by 34 | Docklands Stadium, Melbourne | |
| 10 Oct 2027 | B | South Africa | 99.3% | 0.1% | 0.6% | Georgia | South Africa by 37 | Brisbane Stadium, Brisbane | |
| 10 Oct 2027 | D | Ireland | 66.7% | 2.4% | 30.9% | Scotland | Ireland by 7 | Perth Stadium, Perth | |
| 11 Oct 2027 | D | Uruguay | 35.6% | 2.5% | 61.9% | Portugal | Portugal by 5 | Newcastle Stadium, Newcastle | |
| 11 Oct 2027 | B | Italy | 97.3% | 0.4% | 2.3% | Romania | Italy by 29 | Sydney Football Stadium, Sydney | |
| 15 Oct 2027 | A | New Zealand | >99.9% | <0.1% | <0.1% | Hong Kong China | New Zealand by 66 | Docklands Stadium, Melbourne | |
| 15 Oct 2027 | E | Japan | 88.7% | 1.3% | 10.0% | USA | Japan by 19 | Adelaide Oval, Adelaide | |
| 15 Oct 2027 | F | Tonga | 80.4% | 1.8% | 17.9% | Zimbabwe | Tonga by 14 | North Queensland Stadium, Townsville | |
| 16 Oct 2027 | C | Argentina | 76.6% | 2.0% | 21.4% | Fiji | Argentina by 11 | Adelaide Oval, Adelaide | |
| 16 Oct 2027 | A | Australia | 99.8% | <0.1% | 0.2% | Chile | Australia by 43 | Brisbane Stadium, Brisbane | |
| 16 Oct 2027 | F | England | 87.2% | 1.4% | 11.4% | Wales | England by 18 | Stadium Australia, Sydney | |
| 16 Oct 2027 | C | Spain | 71.4% | 2.2% | 26.5% | Canada | Spain by 9 | North Queensland Stadium, Townsville | |
| 17 Oct 2027 | B | Italy | 62.6% | 2.5% | 34.9% | Georgia | Italy by 5 | Newcastle Stadium, Newcastle | |
| 17 Oct 2027 | D | Ireland | 99.9% | <0.1% | 0.1% | Uruguay | Ireland by 45 | Docklands Stadium, Melbourne | |
| 17 Oct 2027 | D | Scotland | 98.3% | 0.3% | 1.4% | Portugal | Scotland by 33 | Brisbane Stadium, Brisbane | |
| 17 Oct 2027 | E | France | 99.7% | 0.1% | 0.2% | Samoa | France by 42 | Sydney Football Stadium, Sydney | |
| 17 Oct 2027 | B | South Africa | >99.9% | <0.1% | <0.1% | Romania | South Africa by 61 | Perth Stadium, Perth |
How the betting market sees it
OddsJet UK (best price per team across listed bookmakers), quoted 3 Nov 2026, 2:22 PM ET, recorded 3 Nov 2026, 3:20 PM ET. Decimal odds converted to probabilities and normalised over the 21 teams quoted (raw sum 131%). Comparison only: odds are never used as model inputs.
| Team | Model | Decimal odds | Implied | Model minus market |
|---|---|---|---|---|
| South Africa | 32.7% | 3 | 25.4% | +7.3 pts |
| New Zealand | 29.9% | 4.5 | 16.9% | +13.0 pts |
| Ireland | 13.1% | 8 | 9.5% | +3.6 pts |
| France | 7.9% | 4.33 | 17.6% | -9.7 pts |
| Australia | 7.0% | 9 | 8.5% | -1.5 pts |
| England | 5.4% | 7 | 10.9% | -5.5 pts |
| Scotland | 2.6% | 26 | 2.9% | -0.3 pts |
| Argentina | 1.4% | 17 | 4.5% | -3.1 pts |
| Fiji | <0.1% | 81 | 0.9% | -0.9 pts |
| Wales | <0.1% | 101 | 0.8% | -0.7 pts |
| Italy | <0.1% | 151 | 0.5% | -0.5 pts |
| Japan | <0.1% | 151 | 0.5% | -0.5 pts |
| Georgia | <0.1% | 351 | 0.2% | -0.2 pts |
| Tonga | <0.1% | 501 | 0.1% | -0.1 pts |
| Chile | <0.1% | 1501 | 0.1% | -0.1 pts |
| Spain | <0.1% | 1001 | 0.1% | -0.1 pts |
| Samoa | <0.1% | 251 | 0.3% | -0.3 pts |
| USA | <0.1% | 1001 | 0.1% | -0.1 pts |
| Portugal | <0.1% | 1501 | 0.1% | -0.1 pts |
| Uruguay | <0.1% | 1501 | 0.1% | -0.1 pts |
| Canada | <0.1% | not quoted | — | — |
| Hong Kong China | <0.1% | not quoted | — | — |
| Zimbabwe | <0.1% | 2001 | <0.1% | -0.0 pts |
| Romania | <0.1% | not quoted | — | — |
Track record
Before publishing, the same model was run as of the eve of the 2015, 2019 and 2023 tournaments, using only results and rankings available then, with parameters fixed in advance. Across 141 matches the blend had the lowest log loss (0.338, vs 0.344 for our ratings alone and 0.351 for rankings alone), so it is the published version. It did not win everything: a simple World Rugby rankings model scored better on whole-tournament outcomes in 2015 and 2019, and bookmakers gave the 2019 champion (South Africa) a higher chance.
| Tournament | Match log loss (model) | Match log loss (WR simple) | Favourite won | Stage Brier (model) | Stage Brier (WR simple) | Champion: model | Champion: WR simple | Champion: bookmaker |
|---|---|---|---|---|---|---|---|---|
| 2015 (New Zealand) | 0.344 | 0.360 | 85.4% | 0.0595 | 0.0558 | 55.9% | 67.4% | 39.4% |
| 2019 (South Africa) | 0.331 | 0.406 | 86.7% | 0.0575 | 0.0511 | 13.7% | 13.5% | 17.0% |
| 2023 (South Africa) | 0.338 | 0.391 | 85.1% | 0.0595 | 0.0666 | 21.1% | 23.4% | 19.4% |
Lower log loss and Brier are better.
Method
Team strength blends two estimates with equal weight: our own ratings, built from every men's international since 2000 (recent matches count more, and teams with few matches are pulled toward average), and World Rugby's official ranking points converted to an expected margin. Match margins are simulated with random variation, then pools are settled with the official bonus-point and tiebreak rules, the best third-placed teams are slotted into the bracket, and knockouts are played out. Australia gets a home advantage of 4.4 points. Results are through 31 Oct 2026; World Rugby rankings of 3 Nov 2026. Inputs are official World Rugby data only.
- Match points and bonus points for 2027 (taken from the official RWC 2019 Tournament Rules; no 2027 rules document found).
- Pool tiebreak order for 2027 (RWC 2019 rules), including our reading of 3-way ties at criterion 1 (wins among the tied teams).
- Best-third permutation table (Wikipedia transcription of World Rugby's graphic; matches every rule in the official format article).
- Pre-2020 ranking snapshot dates (World Rugby API 'effective' label unreliable; values spot-checked).
- Knockout ties decided 50/50 (extra time and kicking competition not modelled).
- Not modelled: travel, rest days, squad news and injuries.