64.5%
Labor Majority
28.3%
Labor Lead
0.8%
Tie
4.5%
Coalition Lead
1.9%
Coalition Majority
Note on Model Evaluation
The First Preference model will be frozen after the final update on Friday, May 2nd. To see how the model will be evaluated on the results of the election, click here. Check back in the first week of June for a full evaluation.
The First Preference model will be frozen after the final update on Friday, May 2nd. To see how the model will be evaluated on the results of the election, click here. Check back in the first week of June for a full evaluation.

Violin Plot
Shows the distribution of seats each party might win.
Fatter = more likely. Taller = more seats. Isolated dots = rare outcomes.
Shows the distribution of seats each party might win.
Fatter = more likely. Taller = more seats. Isolated dots = rare outcomes.
Simulations Explained
Each point on the plot represents one of 1000 Simulations of the election outcome.
White text shows Average Seats won per party across the 1000 Simulations.
Hover or Touch the Violins to see Seat numbers.
For more details, visit the Methodology section.
See individual seat win probabilities below.
Each point on the plot represents one of 1000 Simulations of the election outcome.
White text shows Average Seats won per party across the 1000 Simulations.
Hover or Touch the Violins to see Seat numbers.
For more details, visit the Methodology section.
See individual seat win probabilities below.
Formation of Government
Likely Outcomes:
Labor Majority – Labor Minority
Plausible Outcomes:
Labor Landslide
Hung Parliament
Last updated: May 2, 2025
First Preference Model for Every Party in Every Electorate in Australia
- Adelaide
- Aston
- Ballarat
- Banks
- Barker
- Barton
- Bass
- Bean
- Bendigo
- Bennelong
- Berowra
- Blair
- Blaxland
- Bonner
- Boothby
- Bowman
- Braddon
- Bradfield
- Brand
- Brisbane
- Bruce
- Bullwinkel
- Burt
- Calare
- Calwell
- Canberra
- Canning
- Capricornia
- Casey
- Chifley
- Chisholm
- Clark
- Cook
- Cooper
- Corangamite
- Corio
- Cowan
- Cowper
- Cunningham
- Curtin
- Dawson
- Deakin
- Dickson
- Dobell
- Dunkley
- Durack
- Eden-Monaro
- Fadden
- Fairfax
- Farrer
- Fenner
- Fisher
- Flinders
- Flynn
- Forde
- Forrest
- Fowler
- Franklin
- Fraser
- Fremantle
- Gellibrand
- Gilmore
- Gippsland
- Goldstein
- Gorton
- Grayndler
- Greenway
- Grey
- Griffith
- Groom
- Hasluck
- Hawke
- Herbert
- Hindmarsh
- Hinkler
- Holt
- Hotham
- Hughes
- Hume
- Hunter
- Indi
- Isaacs
- Jagajaga
- Kennedy
- Kingsford Smith
- Kingston
- Kooyong
- La Trobe
- Lalor
- Leichhardt
- Lilley
- Lindsay
- Lingiari
- Longman
- Lyne
- Lyons
- Macarthur
- Mackellar
- Macnamara
- Macquarie
- Makin
- Mallee
- Maranoa
- Maribyrnong
- Mayo
- McEwen
- McMahon
- McPherson
- Melbourne
- Menzies
- Mitchell
- Monash
- Moncrieff
- Moore
- Moreton
- New England
- Newcastle
- Nicholls
- O’Connor
- Oxley
- Page
- Parkes
- Parramatta
- Paterson
- Pearce
- Perth
- Petrie
- Rankin
- Reid
- Richmond
- Riverina
- Robertson
- Ryan
- Scullin
- Shortland
- Solomon
- Spence
- Sturt
- Swan
- Sydney
- Tangney
- Wannon
- Warringah
- Watson
- Wentworth
- Werriwa
- Whitlam
- Wide Bay
- Wills
- Wright
National First Preference Vote Share By Party
Party | Interval of 95% Probability | Mean |
---|---|---|
Coalition | 30.3% – 38.1% | 34.1% |
Labor | 25.5% – 37.2% | 31.4% |
Greens | 9.8% – 15.8% | 12.8% |
One Nation | 5.4% – 11.3% | 7.8% |
Independent | 5.1% – 8.5% | 6.5% |
Trumpet of Patriots | 0.8% – 2.7% | 1.9% |
Legalise Cannabis | 0.9% – 1.9% | 1.3% |
Libertarian | 0.8% – 1.6% | 1.1% |
Family First | 0.7% – 1.4% | 1.0% |
Animal Justice | 0.2% – 0.5% | 0.3% |
Katter's Australian | 0.1% – 0.4% | 0.3% |
Shooters Fishers & Farmers | 0.1% – 0.4% | 0.2% |
Centre Alliance | 0.1% – 0.4% | 0.2% |
People's First | 0.1% – 0.3% | 0.2% |
Christians | 0.1% – 0.3% | 0.2% |
Citizens Party | 0.1% – 0.3% | 0.2% |
FUSION | 0.1% – 0.2% | 0.1% |
Victorian Socialists | 0.0% – 0.2% | 0.1% |
Socialist Alliance | 0.0% – 0.1% | 0.1% |
Indigenous-Aboriginal | 0.0% – 0.1% | 0.1% |
HEART | 0.0% – 0.1% | 0.0% |
Great Australian Party | 0.0% – 0.0% | 0.0% |
Australian Democrats | 0.0% – 0.0% | 0.0% |
Note on Probabilities
This model is probabilistic: a party winning in 800 of 1000 simulations does not mean it is 'predicted' to win.
It is simply that that party winning is the likelier outcome given the model's structure.
Take 5 seats where the favourite is given about 80% chance of winning:
Hughes (COAL), Chisholm (LAB), Wentworth (IND), Ryan (GRN), Mayo (OTH).
On average, one of these favourites is expected to lose.
This model is probabilistic: a party winning in 800 of 1000 simulations does not mean it is 'predicted' to win.
It is simply that that party winning is the likelier outcome given the model's structure.
Take 5 seats where the favourite is given about 80% chance of winning:
Hughes (COAL), Chisholm (LAB), Wentworth (IND), Ryan (GRN), Mayo (OTH).
On average, one of these favourites is expected to lose.
Number of Wins out of 1000 Simulations
Electorate | Labor | Coalition | Greens | Independent | One Nation | Other |
---|---|---|---|---|---|---|
Adelaide | 987 | 5 | 8 | 0 | 0 | |
Aston | 274 | 726 | 0 | 0 | 0 | 0 |
Ballarat | 994 | 6 | 0 | 0 | 0 | 0 |
Banks | 337 | 663 | 0 | 0 | 0 | 0 |
Barker | 1 | 999 | 0 | 0 | 0 | 0 |
Barton | 973 | 26 | 1 | 0 | 0 | |
Bass | 456 | 542 | 1 | 0 | 1 | 0 |
Bean | 936 | 2 | 1 | 61 | ||
Bendigo | 985 | 13 | 0 | 1 | 1 | 0 |
Bennelong | 641 | 357 | 2 | 0 | 0 | |
Berowra | 23 | 951 | 5 | 21 | 0 | 0 |
Blair | 870 | 119 | 0 | 8 | 3 | |
Blaxland | 981 | 19 | 0 | 0 | 0 | 0 |
Bonner | 192 | 807 | 1 | 0 | 0 | |
Boothby | 917 | 77 | 6 | 0 | 0 | |
Bowman | 108 | 890 | 0 | 0 | 2 | 0 |
Braddon | 75 | 910 | 1 | 8 | 6 | 0 |
Bradfield | 19 | 630 | 0 | 351 | 0 | 0 |
Brand | 999 | 0 | 0 | 1 | 0 | |
Brisbane | 219 | 115 | 666 | 0 | 0 | |
Bruce | 808 | 190 | 0 | 0 | 2 | |
Bullwinkel | 863 | 136 | 1 | 0 | 0 | |
Burt | 995 | 4 | 0 | 0 | 1 | 0 |
Calare | 12 | 334 | 0 | 653 | 1 | 0 |
Calwell | 968 | 28 | 1 | 0 | 2 | 1 |
Canberra | 963 | 1 | 35 | 1 | 0 | |
Canning | 415 | 583 | 0 | 1 | 1 | |
Capricornia | 70 | 864 | 0 | 66 | 0 | |
Casey | 410 | 502 | 12 | 75 | 1 | 0 |
Chifley | 990 | 8 | 0 | 0 | 2 | 0 |
Chisholm | 775 | 222 | 3 | 0 | 0 | 0 |
Clark | 9 | 0 | 0 | 991 | 0 | |
Cook | 12 | 988 | 0 | 0 | 0 | |
Cooper | 843 | 0 | 157 | 0 | 0 | |
Corangamite | 942 | 57 | 1 | 0 | 0 | 0 |
Corio | 998 | 2 | 0 | 0 | 0 | 0 |
Cowan | 939 | 61 | 0 | 0 | 0 | 0 |
Cowper | 0 | 749 | 0 | 251 | 0 | 0 |
Cunningham | 994 | 2 | 4 | 0 | 0 | |
Curtin | 3 | 376 | 0 | 621 | 0 | 0 |
Dawson | 3 | 974 | 0 | 23 | 0 | |
Deakin | 336 | 599 | 1 | 64 | 0 | 0 |
Dickson | 179 | 738 | 0 | 83 | 0 | 0 |
Dobell | 914 | 86 | 0 | 0 | 0 | |
Dunkley | 921 | 78 | 0 | 1 | 0 | 0 |
Durack | 224 | 765 | 0 | 11 | 0 | |
Eden-Monaro | 934 | 66 | 0 | 0 | 0 | 0 |
Fadden | 25 | 968 | 0 | 0 | 7 | 0 |
Fairfax | 4 | 942 | 0 | 40 | 14 | 0 |
Farrer | 0 | 979 | 0 | 20 | 0 | 1 |
Fenner | 997 | 2 | 1 | 0 | ||
Fisher | 9 | 878 | 0 | 109 | 4 | 0 |
Flinders | 35 | 925 | 0 | 40 | 0 | 0 |
Flynn | 190 | 786 | 0 | 0 | 24 | 0 |
Forde | 221 | 764 | 0 | 0 | 15 | 0 |
Forrest | 231 | 645 | 8 | 109 | 7 | 0 |
Fowler | 512 | 0 | 0 | 488 | 0 | 0 |
Franklin | 892 | 3 | 24 | 81 | 0 | |
Fraser | 995 | 1 | 4 | 0 | 0 | |
Fremantle | 875 | 0 | 1 | 123 | 1 | 0 |
Gellibrand | 987 | 11 | 2 | 0 | 0 | |
Gilmore | 256 | 696 | 0 | 48 | 0 | 0 |
Gippsland | 0 | 998 | 0 | 1 | 1 | |
Goldstein | 0 | 281 | 0 | 719 | 0 | 0 |
Gorton | 937 | 59 | 0 | 2 | 2 | |
Grayndler | 993 | 0 | 7 | 0 | 0 | 0 |
Greenway | 960 | 40 | 0 | 0 | 0 | 0 |
Grey | 13 | 797 | 0 | 184 | 6 | 0 |
Griffith | 76 | 52 | 872 | 0 | 0 | |
Groom | 3 | 921 | 0 | 67 | 9 | 0 |
Hasluck | 988 | 12 | 0 | 0 | 0 | |
Hawke | 938 | 56 | 0 | 5 | 1 | |
Herbert | 10 | 985 | 0 | 5 | 0 | |
Hindmarsh | 981 | 19 | 0 | 0 | 0 | 0 |
Hinkler | 15 | 922 | 0 | 53 | 10 | 0 |
Holt | 950 | 49 | 0 | 0 | 1 | |
Hotham | 991 | 8 | 1 | 0 | 0 | |
Hughes | 174 | 826 | 0 | 0 | 0 | |
Hume | 33 | 897 | 0 | 52 | 18 | 0 |
Hunter | 727 | 269 | 0 | 3 | 1 | |
Indi | 0 | 116 | 0 | 884 | 0 | 0 |
Isaacs | 974 | 25 | 1 | 0 | 0 | |
Jagajaga | 978 | 15 | 7 | 0 | 0 | 0 |
Kennedy | 1 | 39 | 0 | 0 | 11 | 949 |
Kingsford Smith | 995 | 4 | 1 | 0 | 0 | |
Kingston | 998 | 2 | 0 | 0 | 0 | |
Kooyong | 0 | 322 | 0 | 678 | 0 | 0 |
Lalor | 992 | 7 | 0 | 0 | 0 | 1 |
La Trobe | 31 | 968 | 0 | 1 | 0 | |
Leichhardt | 361 | 615 | 0 | 0 | 10 | 14 |
Lilley | 977 | 21 | 2 | 0 | 0 | |
Lindsay | 106 | 893 | 0 | 0 | 1 | 0 |
Lingiari | 705 | 295 | 0 | 0 | 0 | |
Longman | 301 | 694 | 0 | 5 | 0 | |
Lyne | 14 | 787 | 0 | 193 | 1 | 5 |
Lyons | 415 | 573 | 5 | 0 | 5 | 2 |
Macarthur | 965 | 30 | 0 | 5 | 0 | |
Mackellar | 0 | 307 | 0 | 693 | 0 | 0 |
Macnamara | 679 | 8 | 313 | 0 | 0 | 0 |
Macquarie | 939 | 61 | 0 | 0 | 0 | |
Makin | 993 | 7 | 0 | 0 | 0 | |
Mallee | 0 | 999 | 0 | 1 | 0 | |
Maranoa | 0 | 994 | 0 | 6 | 0 | |
Maribyrnong | 996 | 3 | 1 | 0 | ||
Mayo | 187 | 38 | 14 | 0 | 761 | |
McEwen | 761 | 236 | 1 | 2 | 0 | |
McMahon | 984 | 13 | 0 | 0 | 3 | |
McPherson | 6 | 805 | 1 | 177 | 9 | 2 |
Melbourne | 66 | 0 | 934 | 0 | 0 | 0 |
Menzies | 439 | 555 | 4 | 1 | 0 | 1 |
Mitchell | 19 | 980 | 1 | 0 | 0 | |
Monash | 209 | 336 | 0 | 453 | 1 | 1 |
Moncrieff | 2 | 951 | 0 | 43 | 4 | 0 |
Moore | 296 | 436 | 0 | 268 | 0 | 0 |
Moreton | 804 | 134 | 62 | 0 | 0 | |
Newcastle | 992 | 0 | 8 | 0 | 0 | 0 |
New England | 0 | 994 | 0 | 6 | 0 | 0 |
Nicholls | 3 | 990 | 0 | 7 | 0 | |
O'Connor | 117 | 878 | 0 | 3 | 2 | |
Oxley | 984 | 14 | 1 | 1 | 0 | 0 |
Page | 0 | 988 | 0 | 11 | 0 | 1 |
Parkes | 0 | 985 | 0 | 0 | 0 | 15 |
Parramatta | 806 | 194 | 0 | 0 | 0 | 0 |
Paterson | 698 | 299 | 0 | 0 | 2 | 1 |
Pearce | 990 | 8 | 0 | 1 | 1 | |
Perth | 981 | 2 | 17 | 0 | ||
Petrie | 199 | 801 | 0 | 0 | 0 | |
Rankin | 966 | 32 | 0 | 2 | 0 | |
Reid | 932 | 68 | 0 | 0 | 0 | 0 |
Richmond | 754 | 12 | 223 | 1 | 0 | 10 |
Riverina | 1 | 957 | 0 | 28 | 6 | 8 |
Robertson | 929 | 71 | 0 | 0 | 0 | 0 |
Ryan | 32 | 115 | 853 | 0 | 0 | |
Scullin | 996 | 2 | 0 | 2 | 0 | |
Shortland | 942 | 56 | 0 | 0 | 2 | 0 |
Solomon | 928 | 30 | 0 | 42 | 0 | 0 |
Spence | 995 | 2 | 0 | 0 | 3 | 0 |
Sturt | 347 | 563 | 2 | 88 | 0 | 0 |
Swan | 985 | 14 | 1 | 0 | 0 | |
Sydney | 986 | 0 | 14 | 0 | 0 | |
Tangney | 901 | 99 | 0 | 0 | 0 | |
Wannon | 5 | 728 | 0 | 267 | 0 | 0 |
Warringah | 0 | 83 | 0 | 917 | 0 | 0 |
Watson | 992 | 8 | 0 | 0 | 0 | 0 |
Wentworth | 2 | 181 | 0 | 817 | 0 | |
Werriwa | 915 | 80 | 0 | 0 | 0 | 5 |
Whitlam | 917 | 80 | 1 | 0 | 2 | 0 |
Wide Bay | 5 | 955 | 0 | 4 | 36 | 0 |
Wills | 731 | 0 | 269 | 0 | 0 | |
Wright | 4 | 945 | 0 | 51 | 0 |