The following tables have been collated from the current season performance. Remember you can download all our data – from 2019 up to the current game round – by subscribing to our Patreon for only £2.50/$5 per month.
Vs Handicap Win % – Super League
How many wins has a team accrued after the handicap had been applied, e.g. LEE beating STH by 7 points in a -6.5 game would result in a handicap win for LEE and a loss for STH
Team | HW | HW% | AW | AW% | OW | OW% |
---|---|---|---|---|---|---|
HFC | 5 | 38.5 | 12 | 85.7 | 17 | 63.0 |
HKR | 7 | 50.0 | 9 | 69.2 | 16 | 59.3 |
WAK | 8 | 61.5 | 8 | 57.1 | 16 | 59.3 |
LEE | 5 | 35.7 | 11 | 78.6 | 16 | 57.1 |
LEI | 8 | 53.3 | 8 | 61.5 | 16 | 57.1 |
STH | 7 | 50.0 | 9 | 64.3 | 16 | 57.1 |
CAT | 6 | 46.2 | 8 | 57.1 | 14 | 51.9 |
CAS | 5 | 35.7 | 8 | 61.5 | 13 | 48.1 |
HUD | 6 | 42.9 | 5 | 38.5 | 11 | 40.7 |
WIG | 5 | 35.7 | 6 | 46.2 | 11 | 40.7 |
SAL | 5 | 41.7 | 5 | 35.7 | 10 | 38.5 |
WAR | 3 | 23.1 | 4 | 28.6 | 7 | 25.9 |
Vs Handicap Win % – NRL
How many wins has a team accrued after the handicap had been applied, e.g. PEN beating PAR by 7 points in a -6.5 game would result in a handicap win for PEN and a loss for PAR
Team | HW | HW% | AW | AW% | OW | OW% |
---|---|---|---|---|---|---|
SOU | 9 | 75.0 | 5 | 41.7 | 14 | 58.3 |
BRI | 9 | 69.2 | 6 | 46.2 | 15 | 57.7 |
CAN | 9 | 64.3 | 6 | 50.0 | 15 | 57.7 |
CRO | 9 | 69.2 | 6 | 42.9 | 15 | 55.6 |
STG | 7 | 58.3 | 6 | 50.0 | 13 | 54.2 |
NQL | 7 | 58.3 | 6 | 50.0 | 13 | 54.2 |
WST | 7 | 58.3 | 6 | 50.0 | 13 | 54.2 |
SYD | 6 | 50.0 | 7 | 53.8 | 13 | 52.0 |
NZW | 7 | 53.8 | 6 | 50.0 | 13 | 52.0 |
PEN | 6 | 50.0 | 8 | 53.3 | 14 | 51.9 |
PAR | 7 | 58.3 | 5 | 41.7 | 12 | 50.0 |
MEL | 8 | 57.1 | 4 | 33.3 | 12 | 46.2 |
DOL | 7 | 58.3 | 4 | 33.3 | 11 | 45.8 |
CBY | 7 | 53.8 | 4 | 30.8 | 11 | 42.3 |
MAN | 6 | 50.0 | 4 | 33.3 | 10 | 41.7 |
GCT | 5 | 41.7 | 5 | 41.7 | 10 | 41.7 |
NEW | 5 | 41.7 | 3 | 25.0 | 8 | 33.3 |
Profit / Loss – Super League
What is a team’s overall profit if you had backed them to win for £/$10 each game this season
Team | H £ | A £ | O £ |
---|---|---|---|
WAK | 43.6 | 22.0 | 65.6 |
HFC | -63.9 | 126.6 | 62.7 |
LEE | 3.6 | 28.5 | 32.1 |
LEI | 46.6 | -18.5 | 28.1 |
CAT | -74.5 | 92.5 | 18.0 |
HKR | -12.7 | 17.1 | 4.4 |
STH | -29.3 | 14.6 | -14.7 |
WIG | -17.3 | -1.9 | -19.2 |
SAL | -52.0 | 24.5 | -27.5 |
HUD | -28.5 | -9.5 | -38.0 |
CAS | -13.5 | -66.0 | -79.5 |
WAR | -47.0 | -74.9 | -121.9 |
Profit / Loss – NRL
What is a team’s overall profit if you had backed them to win for £/$10 each game this season
Team | H £ | A £ | O £ |
---|---|---|---|
SYD | 0.0 | 110.0 | 110.0 |
CAN | 50.5 | -18.0 | 32.5 |
CRO | 45.0 | -31.0 | 14.0 |
NZW | -12.0 | 19.5 | 7.5 |
DOL | 20.5 | -15.0 | 5.5 |
BRI | 37.0 | -32.5 | 4.5 |
CBY | -6.5 | 4.0 | -2.5 |
MAN | 6.0 | -16.5 | -10.5 |
PAR | -10.5 | -3.5 | -14.0 |
SOU | 34.5 | -48.5 | -14.0 |
PEN | -16.5 | -13.5 | -30.0 |
MEL | 2.5 | -37.0 | -34.5 |
STG | 17.0 | -57.0 | -40.0 |
WST | -26.0 | -21.5 | -47.5 |
NQL | -44.5 | -16.5 | -61.0 |
GCT | -43.5 | -26.0 | -69.5 |
NEW | -104.0 | -23.0 | -127.0 |
First Tryscorers – Super League
Top 10 of First Tryscorers by Player, Team and Position
Player | Team | Position | First Tries |
---|---|---|---|
Jai Field | WIG | FB | 5 |
Joe Burgess | HKR | LW | 5 |
Tom Davies | HKR | RW | 4 |
Josh Thewlis | WAR | RW | 4 |
Lewis Martin | HFC | LW | 4 |
Jack Broadbent | HKR | LC | 4 |
Keanan Brand | LEI | RW | 3 |
Harry Newman | LEE | RC | 3 |
Morgan Knowles | STH | LF | 3 |
Oliver Gildart | HKR | LC | 3 |
First Tryscorers – NRL
Top 10 of First Tryscorers by Player, Team and Position
Player | Team | Position | First Tries |
---|---|---|---|
Eliesa Katoa | MEL | RSR | 6 |
Mark Nawaqanitawase | SYD | RW | 5 |
Daniel Tupou | SYD | LW | 4 |
Gehamat Shibasaki | BRI | LC | 4 |
Adam Pompey | NZW | LC | 3 |
Ryan Papenhuyzen | MEL | FB | 3 |
Reuben Garrick | MAN | RC | 3 |
Nicholas Hynes | CRO | SH | 3 |
Kotoni Staggs | BRI | RC | 3 |
Jason Saab | MAN | RW | 3 |