Women's Big Bash League (WBBL) · Sixers Women v Thunder Women
Sydney Sixers v Sydney Thunder Match prediction
Chance of winning, from 20,000 simulations of this match. About 5% of simulations were washed out and are left out of these figures.
- leggully's model makes Sydney Thunder favourites to beat Sydney Sixers in the WBBL on 8 November 2026, winning 54% of 20,000 simulated matches.
- Batting first, Sydney Sixers would be expected to score about 173 and Sydney Thunder about 177 in this WBBL match.
- Sydney Thunder are more likely to out-hit Sydney Sixers for sixes (58% to 28%, level the rest of the time), with about 3.6 sixes expected to 2.6.
- The model expects about 325 runs in Sydney Sixers v Sydney Thunder (both innings), with 32 fours and 6 sixes - 38 boundaries in all.
- Sydney Thunder have the stronger batting line-up, by about 9.1 runs an innings.
- Sydney Sixers have the stronger bowling attack, by about 2.8 runs an innings.
- Sydney Thunder have the stronger death bowling, by about 1.9 runs an innings.
Likely scores and sixes
What each side would be expected to score batting first against this opposition's bowling attack, and how many sixes it's expected to hit. A chasing side usually ends with less, because it stops once it passes the target.
| Team | Batting first | 8 in 10 between | Expected fours | Expected sixes | Hits more sixes |
|---|---|---|---|---|---|
| Sydney Sixers | 173 | 141–205 | 15.2 | 2.6 | 28% |
| Sydney Thunder | 177 | 145–209 | 16.8 | 3.6 | 58% |
How to read this table
- Batting first
- The side's typical total if it bats first: its batting rating against the other side's bowling rating, starting from the par score at North Sydney Oval (170). The par is what an average side would expect to make batting first there, from the Women's Big Bash League's scoring this season and how the ground usually plays compared with others. A couple of runs are added for the home side.
- 8 in 10 between
- In 8 simulated matches out of 10, the batting-first total falls in this range. T20 scores swing a lot, so it's wide.
- Expected fours
- The average number of fours the side hits in the match, batting first or second.
- Expected sixes
- The average number of sixes the side hits in the match, batting first or second.
- Hits more sixes
- How often this side hits more sixes than the other. The two don't add up to 100% because the teams hit the same number 14% of the time.
The higher of the two scores in the match is typically around 177, and there's a 87% chance that someone makes 150 or more. It can be lower than the batting-first figures because a successful chase stops just past the target.
Match totals
Both teams' innings added together: total runs, fours, sixes and boundaries in the match. These come from the same 20,000 simulations, so a chase that's won early counts only the runs and boundaries actually scored.
| Total | Expected | Middle | 8 in 10 between | Chance of going over | ||
|---|---|---|---|---|---|---|
| Runs | 325 | 326 | 273–376 | over 306.5 · 69% | over 326.5 · 49% | over 346.5 · 30% |
| Fours | 31.9 | 32 | 23–41 | over 28.5 · 68% | over 32.5 · 46% | over 36.5 · 25% |
| Sixes | 6.2 | 6 | 3–10 | over 4.5 · 72% | over 6.5 · 42% | over 8.5 · 19% |
| Boundaries (4s + 6s) | 38.1 | 38 | 28–48 | over 33.5 · 71% | over 38.5 · 47% | over 43.5 · 24% |
How to read this table
- Expected
- The average across all the simulated matches.
- Middle
- The middle value: half the simulated matches finished above it and half below.
- 8 in 10 between
- In 8 simulated matches out of 10 the total landed in this range.
- Chance of going over
- How often the total went over each line. For example, over 326.5 · 49% means 49% of simulated matches had more than 326.5 runs.
- Boundaries
- Fours and sixes added together.
Washed-out matches are left out. Totals depend heavily on who bats first and how big the first innings is, so the ranges are wide. Treat these as chances, not certainties.
How the teams compare
Each side's predicted XI for this match, rated in runs per innings against the average Women's Big Bash League side. Positive is better than average, negative is worse. These ratings are what decides the win chances above.
| Rating | Sydney Sixers | Sydney Thunder | Edge |
|---|---|---|---|
| Overall | +6.6 | +12.9 | Sydney Thunder +6.3 |
| Batting | +2.2 | +11.3 | Sydney Thunder +9.1 |
| Bowling | +4.4 | +1.6 | Sydney Sixers +2.8 |
| Death bowling | −1.1 | +0.8 | Sydney Thunder +1.9 |
| Bowling options | 9 | 8 | |
| Sixes per innings | 2.8 | 3.8 |
How to read this table
- Overall
- Batting and bowling added together: roughly how many runs a match better (+) or worse (−) the side is than an average team.
- Batting
- Runs per innings the XI adds compared with an average line-up, from how fast its players score and how often they get out. The top order counts most because they face the most balls.
- Bowling
- Runs per innings the attack saves compared with an average attack, with the 20 overs shared out the way a captain would. Wickets count too, turned into the runs they're worth.
- Death bowling
- The part of the bowling rating from overs 17–20. It's already included in Bowling.
- Bowling options
- Genuine bowlers in the XI: players with at least 6 overs in the recent data. With fewer than five, part-timers bowl the rest and it costs runs.
- Sixes per innings
- Sixes the XI is expected to hit against an average attack. Against this opponent it can be higher or lower, as in the table above.
- Edge
- Which side is better on that rating, and by how many runs.
Predicted XIs
The strongest XI each squad allowed when the prediction was made, with at most three overseas players. Players are in order of batting rating, which isn't necessarily the order they'll bat in. Underneath is how the model shares out the 20 overs. These are the model's picks, not team announcements.
Sydney Sixers
- Ellyse Perry SR 133 · econ 7.59
- Ashleigh Gardner SR 137 · econ 7.64
- Sophia Dunkley OS SR 131 · econ 7.98
- Amelia Kerr OS SR 121 · econ 7.11
- Maitlan Brown SR 114 · econ 7.39
- Sarah Coyte SR 112 · econ 7.82
- Grace Lyons SR 110
- Frankie Nicklin SR 109
- Elsa Hunter OS SR 108 · econ 7.19
- Caoimhe Bray SR 110 · econ 7.16
- Erin Burns SR 105 · econ 7.34
- Powerplay
- Caoimhe Bray 3, Maitlan Brown 3
- Middle overs
- Elsa Hunter 4, Erin Burns 4, Caoimhe Bray 1, Amelia Kerr 1
- Death overs
- Amelia Kerr 2, Ashleigh Gardner 2
Rest of the squad: Alice Capsey, Lauren Cheatle, Courtney Sippel, Eva Ragg
Sydney Thunder
- Laura Kimmince SR 175 · econ 7.13
- Phoebe Litchfield SR 142
- Heather Knight OS SR 129 · econ 7.95
- Georgia Voll SR 133 · econ 7.78
- Anika Learoyd SR 120
- Nadine de Klerk OS SR 120 · econ 8.04
- Tahlia Wilson SR 110
- Lucy Finn SR 111 · econ 7.99
- Lauren Bell OS SR 106 · econ 6.68
- Jemma Barsby SR 107 · econ 7.61
- Hannah Darlington SR 101 · econ 8.01
- Powerplay
- Lauren Bell 2, Jemma Barsby 3, Laura Kimmince 1
- Middle overs
- Laura Kimmince 3, Hannah Darlington 4, Lucy Finn 3
- Death overs
- Lauren Bell 2, Georgia Voll 2
Rest of the squad: Sam Bates, Hasrat Gill, Nicola Hancock, Claire Moore
How to read these teams
- SR
- The player's expected strike rate (runs per 100 balls), from recent women's T20 cricket.
- econ
- Expected runs conceded per over, shown for genuine bowlers.
- WK / OS
- Wicketkeeper / overseas player.
- Overs
- Overs each bowler gets in each phase: the best death bowlers bowl overs 17–20 (2 each at most), then the powerplay (overs 1–6) and middle overs (7–16) are filled, with no one bowling more than 4.
How this prediction is made
- Player ratings come from 497,833 balls of women's T20 cricket over the last 4 years (2,200 matches). Recent matches and stronger competitions count for more.
- The match is played 20,000 times. Each side's score is drawn at random around its likely score, the side batting second stops once it passes the target, and sixes depend on the batters, the bowlers and the size of the innings.
- The ground sets the starting point: a par of 170 at North Sydney Oval.
- What it doesn't know: the pitch on the day, the weather, the toss, and any team news after 5 Nov 2026, when this prediction was made.
Full stats for Sydney Sixers v Sydney Thunder (head-to-head, form, squads, matchups, venue) · Women's Big Bash League predictions (title chances, every team)
This prediction was made on 5 Nov 2026, before the match, and is not updated afterwards. The percentages are chances, not certainties. These are statistical predictions for interest, not betting advice.