Women's Big Bash League 2026 predictions

How to read this table

Win

How often the team won the Final. The bar compares each team with the favourite.

Runner-up

How often the team reached the Final and lost it.

Make final

Win and Runner-up added together: how often the team played in the Final.

Top 4

How often the team finished in the top four of the league table, the places that go into the finals.

Minor premiers

How often the team finished top of the league table, which means hosting the Final.

Avg finish

The team's average league position across all the simulations (1 = top).

Exp pts

Average league points: 2 for a win and 1 for a no result, including points already won.

Teams level on points are split by run difference, which stands in for net run rate. Tap a column heading to sort by it.

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 Women's Big Bash League team. The table is in this order.

Batting

Runs per innings the XI adds compared with an average line-up. Players are rated on how fast they 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. If a side doesn't have five genuine bowlers in its XI, part-timers bowl the rest, which costs runs. That's how a lack of bowling depth shows up.

Death bowling

The part of the bowling rating that comes from overs 17–20, bowled by the side's best death bowlers (2 overs each at most). It's already included in Bowling.

Bowling options

Genuine bowlers in the predicted XI / in the whole squad: players with at least 6 overs in the recent data. More options in the squad means injuries and bad days are easier to cover.

Sixes per innings

How many sixes the XI is expected to hit in an innings against an average attack.

Each phase is judged on its own (powerplay overs 1–6, middle overs 7–16, death overs 17–20), because conceding 8 an over is good at the death and poor in the middle.

How to read this table

Most sixes

How often the team finished the season with more sixes than anyone else. If two teams tie, the season is split between them. The table is in this order.

Expected sixes

The team's average number of sixes across the whole season, finals included.

Highest innings

How often the team posted the single highest score of the whole competition.

Typical best score

The team's highest score of the season in a typical (middle) simulation.

Teams that go deep into the finals play more matches, so they get more chances at both. Washed-out matches (about 5% of games) count for nothing here.

How to read this table

Favourite

The side the model gave the better chance of winning when the prediction was made. If neither side had more than 52.5%, the match is too close to call.

Chance

The favourite's chance of winning (washouts left out).

Result

What happened, once the match is in the database: ✓ the favourite won, ✗ the other side did.

A favourite with a 60% chance should still lose about 4 times in 10, so judge the predictions over a whole season, not one match.

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 and middle overs are filled, with no one bowling more than 4. Part-timers appear when the XI runs out of genuine bowlers.