General Seasons Stats For 2012

Miket12

Miket12

As grime reading as this may be, here are the seasons stats for the squad members who played more than 10 games last season for the Warriors. These stats have been sourced from the Dreamteam Stats from nrl.com.

Unfortunately, the DreamTeam stats don't include things like the number of hit ups a player has done.

To make this easier to follow, I've divided the stats into Points Stats, Kicking Stats, Attacking Stats, Tackling Stats, and Errors & Penalities Conceded.

POINTS STATS

Tries
The figure in brackets is the players Strike Rate Percentage – the higher the better

Season Summary:
85 tries @ an average of 5 tries per player. Average Strike Rate = 25.1%

12 Tries
Hurrell (70.6%), Vatuvei (60.0%), Johnson (54.5%)

8 Tries
Henry (33.3%)

7 Tries
Locke (50.0%), Tupou (29.2%)

4 Tries
Taylor (17.4), Brown (16.7%), Maloney (16.7%)

3 Tries
Mannering (15.8%), Matulino (13.6%), Mateo (12.5%)

2 Tries
Lillyman (12.5%), Friend (11.8%)

1 Try
Ta’ai (8.3%), Lousi (4.5%)

Packer did not score a try last season

Goals
Maloney 67, Henry 2

Field Goals
Maloney 3
 
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Miket12

Miket12

KICKING STATS

Kicking Metres

The figure shown in brackets is the average kicking distance the player has made per game. Please note that the NRL DreamTeam Stats only provides kicking metres rounded to the nearest 10 metres.

Season Summary:
Total kick metres = 12,240m. Aver. kick metres per game = 510m

Maloney 6,980m (290.8m), Johnson 4,900m (222.7m), Mateo 200m (8.3m), Hurrell 60m (3.5m)
Friend 40m (2.4m), Brown 40m (1.7m), Henry 20m (0.8m)



40/20’s

Maloney 1
 
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Danpatmac

Guest
KICKING STATS

Kicking Metres

The figure shown in brackets is the average kicking distance the player has made per game. Please note that the NRL DreamTeam Stats only provides kicking metres rounded to the nearest 10 metres.

Maloney 6,980m (290.8m), Johnson 4,900m (222.7m), Mateo 200m (8.3m), Hurrell 60m (3.5m), Friend 40m (2.4m), Brown 40m (1.7m), Henry 20m (0.8m)



40/20’s

Maloney 1

This has been an issue for me for a while, I would like to see us at least attempt more 40/20s
 
Kendrick

Kendrick

Lol pretty crack up about Hurrell in the kicking stats, I actually remember twice last year he ended up with the ball on the last tackle when the team had no fucking idea and he got us line dropouts from a fair way out each time.
 
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Miket12

Miket12

ATTACKING STATS

Metres Gained
The figure shown in brackets is the average metres gained per game the player played. Please note that the NRL DreamTeam Stats round the players metres gained to the nearest 10m.

Matulino 2,660m (120.9m), Mateo 2,300 (95.8m), Vatuvei 2,190m (109.5m), Tupou 2,180m (90.8m)
Packer 1,930m (80.4m), Hurrell 1,810m (106.5m), Henry 1,610m (67.1m), Maloney 1,480 (61.7m)
Brown 1,400m (58.3m), Lousi 1,360m (61.8m), Lillyman 1,330m (83.1m), Mannering 1,240m (62.3m)
Locke 1,220m (87.1m), Johnson 1,140m (51.8m), Taylor 850m (37.5m), Ta’ai 570, (47.5m), Friend 510m (30.0m)

Try Assists
The figure shown in brackets is number of games played per try assist – the smaller the figure in brackets, the better.

Johnson 17 (1.3), Maloney 17 (1.4), Mateo 11 (2.2), Locke 5 (2.8)
Vatuvei 4 (5.0), Friend 3 (5.7), Hurrell 2 (8.5), Taylor 2 (11.5)
Henry 2 (12.0), Brown 2 (12.0), Mannering 1 (19.0), Packer 1 (24.0)

Lillyman, Lousi, Matulino, Ta’ai & Tupou did not provide any try assists.

Line Breaks
The figures in brackets shows the average number of games per line break for the player.

Johnson 13 (1.7), Hurrell 12 (1.4), Maloney 12 (2.0), Vatuvei 11, (1.8)
Mateo 6 (4.0), Tupou 6 (4.0), Locke 5 (2.8), Henry 5 (4.8)
Ta’ai 4 (3.0), Lillyman 4 (4.0), Mannering 4 (4.8), Lousi 4 (5.5)
Brown 4 (6.0), Matulino 3 (7.3)

Packer and Taylor didn’t make any line breaks last season

Line Break Assists
The figures in brackets shows the average number of games per line break assist for the player.

Mateo 17 (1.4), Maloney 10 (2.4), Johnson 7 (3.1), Friend 4 (4.3)
Henry 4 (6.0), Locke 3 (4.7), Hurrell 2 (8.5), Taylor 2 (11.5)
Brown 2 (12.0), Mannering 1 (19.0), Tupou 1 (24.0)

Lillyman, Lousi, Matulino, Packer, Ta’ai & Vatuvei made no line break assists last season.

Tackle Breaks
The figure in brackets is the average number of tackle breaks made per game for the player.

Hurrell 84 (4.9), Vatuvei 78 (3.9), Johnson 74 (3.4), Maloney 69 (2.9)
Mateo 54 (2.3), Locke 46 (3.3), Brown 38 (1.6), Tupou 37 (1.5)
Matulino 36 (1.6), Henry 29 (1.2), Mannering 27 (1.4), Lousi 17 (0.8)
Taylor 15 (0.7), Friend 13 (0.8), Ta’ai 10 (0.8), Packer 10 (0.4), Lillyman 9 (0.6)

Offloads
The figure in brackets is the average number of offloads a player has made during a game.

Mateo 61 (2.5), Johnson 20 (0.9), Matulino 17 (0.8), Vatuvei 13 (0.7)
Brown 12 (0.5), Mannering 11 (0.6), Hurrell 10 (0.6), Lousi 9 (0.4)
Packer 9 (0.4), Locke 8 (0.6), Henry 8 (0.3), Maloney 8 (0.3)
Ta’ai 5 (0.4), Taylor 4 (0.2), Tupou 4 (0.2)

Friend and Lillyman didn’t make any offloads last season.
 
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Miket12

Miket12

TACKLING STATS

Tackles Made
The figure in brackets is the average tackles made per game by the player throughout the season.

Taylor 908 (39.5), Friend 713 (41.9), Mannering 632 (33.3), Mateo 549 (22.9)
Henry 541 (22.5), Packer 517 (21.5), Brown 449 (18.7), Maloney 414 (17.3)
Matulino 403 (18.3), Lousi 356 (16.2), Lillyman 298 (18.6), Johnson 270 (12.3)
Hurrell 169 (9.9), Vatuvei 113 (9.9), Ta’ai 113 (5.7), Tupou 96 (4.0), Locke 68 (4.8)


Missed Tackles
The figure in brackets is the average missed tackles per game by the player throughout the season.

Maloney 122 (5.1), Johnson 79 (3.6), Taylor 70 (3.0), Mateo 62 (2.6)
Brown 52 (2.2), Henry 50 (2.1), Friend 49 (2.9), Hurrell 47 (2.8)
Vatuvei 42 (2.1), Packer 40 (1.7), Tupou 40 (1.7), Locke 26 (1.8)
Lillyman 26 (1.6), Lousi 24 (1.1), Matulino 24 (1.1), Mannering 22 (1.2) Ta’ia 11 (0.9)


Ineffective Tackles
The figure in brackets is the average ineffective tackles per game by the player throughout the season.

Taylor 44 (1.9), Maloney 41 (1.7), Brown 37 (1.5), Friend 36 (2.1)
Henry 31 (1.3), Mannering 30 (1.6), Matulino 24 (1.1), Johnson 21 (1.0)
Mateo 18 (0.8), Ta’ai 17 (1.4), Packer 17 (0.7), Lousi 16 (0.7)
Lillyman 15 (0.9), Hurrell 13 (0.8), Vatuvei 9 (0.5), Tupou 9 (0.4), Locke 2 (0.1)


Total Tackles Attempted
The figure in brackets is the average total number of tackles attempted per game by the player throughout the season.

Taylor 1,022 (44.4), Friend 798 (46.9), Mannering 684 (36.0), Mateo 629 (26.2)
Henry 622 (25.9), Maloney 557 (24), Packer 574 (23.9), Brown 538 (22.4)
Matulino 451 (20.5), Lousi 396 (18.0), Johnson 370 (16.8), Lillyman 339 (21.2)
Hurrell 229 (13.5), Vatuvei 164 (8.2), Tupou 145 (6.0), Ta’ai 141 (11.8), Locke 96 (6.9)


Successful Tackle Percentage
This figure is the percentage of all the tackles attempted that was successful over the entire season. The higher the percentage, the more tackles the player was successful at. It comes from the following formulae:

Tackles made + Missed tackles + Ineffective tackles = Total Tackles Attempted.
(Tackles made ÷ Total tackles attempted) x 100 = Successful tackle percentage

Mannering 93.4%, Packer 90.1%, Lousi 89.9%, Matulino 89.4%
Friend 89.3%, Taylor 88.8%, Lillyman 87.9%, Mateo 87.3%
Henry 87.0%, Brown 83.5%, Ta’ai 80.1%, Hurrell 73.8%
Johnson 73.0%, Maloney 71.8%, Locke 70.8%, Vatuvei 68.9%, Tupou 66.2%

One On One Tackles
The figure shown in brackets is the percentage of One on One Tackles has made for all their Tackles Made. It comes from the following formulae:

(One on one tackles ÷ Tackles made) x 100 = One on one tackle percentage

Henry 53 (9.8%), Mannering 48 (7.6%), Taylor 36 (4.0%), Maloney 33 (8.0%)
Johnson 23 (8.5%), Matulino 21 (5.2%), Friend 20 (2.8%), Brown 18 (4.0%)
Mateo 18 (3.3%), Hurrell 17 (10.1%), Vatuvei 13 (11.5%), Packer 13 (2.5%)
Tupou 12 (12.5%), Lillyman 10 (33.4%), Locke 8 (11.8%), Ta’ai 6 (5.3%), Lousi 6 (1.7%)
 
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Miket12

Miket12

ERRORS AND PENALTIES CONCEDED

Handling Errors
The figure shown in brackets is the average number of handling errors made per game by the player last season.

Vatuvei 38 (1.9), Maloney 24 (1.0), Hurrell 21 (1.2), Johnson 20 (0.9)
Brown 18 (0.8), Mateo 17 (0.7), Tupou 15 (0.6), Locke 14 (1.0)
Mannering 12 (0.6), Taylor 10 (0.4), Ta’ia 7 (0.6), Friend 7 (0.4)
Packer 7 (0.3), Matulino 6 (0.3), Lillyman 5 (0.3), Henry 4 (0.2), Lousi 4 (0.2)

Penalties Conceded
The figure shown in brackets is the average number of penalties conceded made per game by the player last season.

Maloney 16 (0.7), Mateo 14 (0.6), Mannering 13 (0.7), Taylor 10 (0.4)
Lousi 9 (0.4), Packer 9 (0.4), Friend 6 (0.4), Hurrell 6 (0.4)
Lillyman 6 (0.4) Brown 6 (0.3), Matulino 6 (0.3), Henry 5 (0.2)
Vatuvei 4 (0.2), Ta’ai 3 (0.3), Locke 3 (0.2), Johnson 2 (0.1)

Tupou did not concede any penalties last season.

Send Offs and Sin Bins
No player was either sent off or sin binned last season



 
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mt.wellington

mt.wellington

Warriors Orange Peeler
Metres Gained The figure shown in brackets is the average metres gained per game the player played. Please note that the NRL DreamTeam Stats round the players metres gained to the nearest 10m. Matulino 2,660m (120.9m), Mateo 2,300 (95.8m), Vatuvei 2,190m (109.5m), Tupou 2,180m (90.8m) Packer 1,930m (80.4m), Hurrell 1,810m (106.5m), Henry 1,610m (67.1m), Maloney 1,480 (61.7m) Brown 1,400m (58.3m), Lousi 1,360m (61.8m), Lillyman 1,330m (83.1m), Mannering 1,240m (62.3m) Locke 1,220m (87.1m), Johnson 1,140m (51.8m), Taylor 850m (37.5m), Ta’ai 570, (47.5m), Friend 510m (30.0m)
Warriors props


The stats I have from nrlstats.com seem to contradict your stats but then again they may use other companies for their information. The NRL are actually the only professional sporting organisation in the world that doesnt own/run their own Statistical Analysis Department. At the moment you have 2 different outfits that have 2 different methods of gathering their data. Make it even more confusing, Channel 9 and Fox use either company so you will have a totally different stat sheet depending on which TV network you play on!?! Theres talk of the NRL just going with one company but the problem is that the other company is refusing to release all the historical information they hold. But more importantly, who cares!

Anyway, as abit of a novice stat whore, I like this thread and would like to see one started for the whole 2013 season game to game.
 
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Miket12

Miket12

Anyway, as abit of a novice stat whore, I like this thread and would like to see one started for the whole 2013 season game to game.

Last year, I did start to do stats after each game, including what the opposition had done during that particular game, but it got too time consuming and after receiving critism for calculating stats that combined the raw data forn the stats sites which indicated how many metres players made per hit up, strike rate for tries scored or what a players successful tackle rate was (amongst others), I couldn't be bothered.

I also did a running season summary for the best/worst stats (ie those with the least missed tackles vs those with the greatest) - but I was accused of being biased against certain players by including their negative stats, so again, I gave up.

EDIT: BTW, you'd probably enjoy speaking to my brother-in-law whose an ex-pat kiwi who is an Associate Professor in Statistics at an eastern university in the States. He contracts himself out to a number of sports stats companies, media and clubs including NFL and NBA teams to help them with their stats computer programming and stats analysis.
 
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Gizzyfan

Gizzyfan

The number of different stats compiled by different outfits show stats should be a guide only, the thing to de code for coaches is what weight to put on them. I mean what's next, average speed running onto ground before he or handshakes after.
 
Miket12

Miket12

The number of different stats compiled by different outfits show stats should be a guide only, the thing to de code for coaches is what weight to put on them. I mean what's next, average speed running onto ground before he or handshakes after.
Errors is difficult as well. You can look at the huge number of errors Manu made last season to the few made by Friend. Manu received the ball far fewer times than the receives stats show that Friend did during a game. But, most of Friend's receives were when playing at dummy half and not when say taking a high ball or returning the ball into the contact area at speed like Manu did. This is not excusing Manu's handling, it's just pointing out the limitations of stats.
 
mt.wellington

mt.wellington

Warriors Orange Peeler
Errors is difficult as well. You can look at the huge number of errors Manu made last season to the few made by Friend. Manu received the ball far fewer times than the receives stats show that Friend did during a game. But, most of Friend's receives were when playing at dummy half and not when say taking a high ball or returning the ball into the contact area at speed like Manu did. This is not excusing Manu's handling, it's just pointing out the limitations of stats.
Though I agree that stats has its limitations, I believe that those limitations are far exceeded by there potential. What I like about stats is that they dont lie. I like that about numbers in general. I admit that stats can be skewed to suit any side of an argument but when used incorrectly, they will always be found out.
 
mt.wellington

mt.wellington

Warriors Orange Peeler
Thru the grapevine, I've heard there is possibly going to be a large shake up this year with one of the companies involved with American sports stats companies looking at providing stats for the nrl as well as Super Rugby and the next A-League season.

This is the article I read last year. Looks like the NRL are going to go ahead and put the contract out to tender...

https://www.smh.com.au/rugby-league/league-news/coaches-may-face-stats-kerfuffle-20121116-29hmb.html
 

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