Trivia Leaderboard

See all the traditional Singles averages here.

Trivia HQ ... all the minor and mostly meaningless player stats gathered together in one place!

• Best performers in Singles points for/against overall
• Best performers in 5-game Singles legs
• Best performers in games ("Ends") won
• Best performers in Doubles legs
• Most points in a Singles leg
• Most 5-game legs in a match
• Most points in a match
• Giantkillers
• Heroic recoveries: They went 2-0 down, but won 3-2
• Distribution of match scores
• Improvers: who has got better scores this season than last season, against the same players?

• Best performers in Singles points for/against overall (qualification: 250 points):
  

  Pos	Player	Club	Points For	Won (Percent)
  1	Julian Walton	IBM	408	60.4%
  2	Micky Lang	Medstead	317	59.1%
  3	Ben Tombs	Medstead	571	58.5%
  4	Ian Burgess	Swanmore	306	58.3%
  5	David Wills	Five Tees	887	58.2%
  6	Graham Lynch	Five Tees	1025	58.0%
  7	Martin Ceresa	Hursley	729	55.9%
  8	Jill Wilson	Kings	447	55.7%
  9	Steve Swan	Five Tees	590	55.5%
  10	Keith Dickenson	IBM	444	55.4%
  11	Adam Lee	South Wonston	883	55.1%
  11	Tim Kimber	South Wonston	764	55.1%
  11	Richard Anderson	Medstead	730	55.1%
  11	Kevin Muldowney	Swanmore	616	55.1%
  11	Paul May	IBM	501	55.1%

  
  
• Best performers in 5-game Singles legs (qualification: three 5-game Singles):
  

  Pos	Player	Club	Played	Won (Percent)
  1	Bobby Zhou	Kings	5	100.0%
  1	Glenn Phur	Medstead	4	100.0%
  1	Russell Durham	Winnall	4	100.0%
  1	Ben Tombs	Medstead	3	100.0%
  5	John Pryor	Kings	6	83.3%
  6	Oliver Lee	South Wonston	5	80.0%
  7	Teresa Hildyard	Kings	4	75.0%
  7	Leyon Joseph	Five Tees	4	75.0%
  7	Paul May	IBM	4	75.0%
  10	Rob Christie	Swanmore	6	66.7%
  10	Steve Coltman	Swanmore	6	66.7%
  10	Dave Diment	Swanmore	6	66.7%
  10	Antony Moore	Swanmore	6	66.7%
  10	Colin Ley-Smith	Winnall	3	66.7%
  10	Keith Dickenson	IBM	3	66.7%
  10	Adrian Reeves	Kings	3	66.7%
  10	Paul Newbery	Five Tees	3	66.7%

  
  
• Best performers in games ("Ends") won (qualification: nine Ends):
  

  Pos	Player	Club	Played	Won (Percent)
  1	Julian Walton	IBM	38	89.5%
  2	David Wills	Five Tees	82	86.6%
  3	Micky Lang	Medstead	30	83.3%
  4	Ian Burgess	Swanmore	30	76.7%
  5	Ben Tombs	Medstead	56	75.0%
  5	John Bonney	Medstead	24	75.0%
  7	Kevin Muldowney	Swanmore	59	72.9%
  8	Tim Kimber	South Wonston	77	72.7%
  9	Martin Ceresa	Hursley	72	72.2%
  10	Jill Wilson	Kings	43	72.1%
  11	Adam Lee	South Wonston	87	71.3%

  
  
• Best performers in Doubles legs (qualification: four Doubles):
  

  Pos	Player	Club	Played	Won (Percent)
  1	Oliver Lee	South Wonston	6	100.0%
  1	Jill Wilson	Kings	4	100.0%
  3	Tony Gregan	Five Tees	7	85.7%
  4	John Pryor	Kings	6	83.3%
  5	Ben Tombs	Medstead	5	80.0%
  5	Andy Quick	Kings	5	80.0%
  5	Graham Lynch	Five Tees	5	80.0%
  5	Dave Hooker	Winnall	5	80.0%
  9	David Wills	Five Tees	8	75.0%
  9	Steve Swan	Five Tees	4	75.0%
  9	Andrew Bawden	Medstead	4	75.0%
  9	Julian Walton	IBM	4	75.0%

  
  
• Most points in a Singles leg:
  

  115 points	Dave Hooker Vs Dan Kimber	28-11-19	Winnall 8-2 South Wonston B	11-7, 8-11, 11-7, 19-21, 11-9
  114 points	Martyn Davey Vs Steve Brown	07-10-19	South Wonston B 4-6 IBM B	9-11, 10-12, 13-11, 11-9, 15-13
  110 points	Jamie Cole Vs Andrew Bawden	09-10-19	Kings B 6-4 Medstead A	13-11, 13-11, 7-11, 11-13, 11-9
  110 points	Russell Durham Vs Tim Kimber	28-11-19	Winnall 8-2 South Wonston B	10-12, 15-13, 10-12, 11-5, 12-10
  109 points	Dave Fox Vs Bobby Zhou	11-11-19	Five Tees B 5-5 Kings B	15-13, 11-13, 11-9, 7-11, 8-11
  108 points	Jon Stubbs Vs Andy Prince	24-09-19	Five Tees B 4-6 Kings A	14-12, 9-11, 11-9, 10-12, 11-9
  108 points	Bobby Zhou Vs Andrew Bawden	09-10-19	Kings B 6-4 Medstead A	10-12, 13-11, 10-12, 12-10, 11-7
  108 points	Cameron Aris Vs Andrew Bawden	18-11-19	Kings A 3-7 Medstead A	11-8, 13-15, 11-9, 8-11, 10-12
  107 points	Kevin Muldowney Vs Oliver Lee	03-12-19	Swanmore A 5-5 South Wonston A	12-14, 11-9, 6-11, 11-7, 12-14
  107 points	Steve Coltman Vs Quentin Brook	26-11-19	Swanmore B 2-8 Kings D	12-10, 11-9, 8-11, 11-13, 10-12
  106 points	Paul May Vs Ben Tombs	23-09-19	IBM A 6-4 Medstead A	11-7, 11-6, 10-12, 14-16, 8-11

  
  
• Most 5-game legs in a match:
  

  	Date	Match-card and teams
  7 legs	03-12-19	Swanmore A 5-5 South Wonston A
  6 legs	09-12-19	Kings D 7-3 IBM C
  5 legs	01-10-19	Swanmore B 3-7 IBM C
  4 legs	24-10-19	Medstead B 8-2 Kings D
  4 legs	22-10-19	Winnall 5-5 Swanmore A
  4 legs	11-11-19	Owslebury 7-3 Kings E
  4 legs	07-10-19	South Wonston B 4-6 IBM B
  4 legs	02-12-19	IBM C 5-5 Swanmore B
  4 legs	01-10-19	IBM B 3-7 Winnall
  3 legs	28-11-19	Winnall 8-2 South Wonston B
  3 legs	27-11-19	South Wonston A 9-1 Kings C
  3 legs	26-11-19	Swanmore B 2-8 Kings D
  3 legs	24-09-19	Swanmore A 5-5 South Wonston B
  3 legs	23-09-19	Kings E 3-7 Five Tees D
  3 legs	23-09-19	IBM A 6-4 Medstead A
  3 legs	22-10-19	IBM A 7-3 Five Tees B
  3 legs	21-10-19	Kings E 3-7 IBM C
  3 legs	21-10-19	Five Tees D 5-5 Swanmore B
  3 legs	18-11-19	Five Tees D 9-1 IBM C
  3 legs	15-11-19	Winnall 4-6 South Wonston A
  3 legs	14-10-19	IBM B 3-7 Kings C
  3 legs	11-11-19	Kings A 5-5 Five Tees C
  3 legs	11-11-19	Five Tees B 5-5 Kings B
  3 legs	09-10-19	Kings B 6-4 Medstead A
  3 legs	07-10-19	Kings E 7-3 Swanmore B
  3 legs	04-12-19	Kings D 9-1 Owslebury

  
  
• Late nights (most points in a match):
  The average number of points per match this season has been 675.

  Total Points	Match	Lateness (amt above average)	Date
  837	Swanmore A 5-5 South Wonston A	24.0%	03/12/19
  821	Kings D 7-3 IBM C	21.7%	09/12/19
  814	IBM B 3-7 Winnall	20.6%	01/10/19
  810	Five Tees B 5-5 Kings B	20.0%	11/11/19
  809	Winnall 4-6 South Wonston A	19.9%	15/11/19
  791	South Wonston B 4-6 IBM B	17.2%	07/10/19
  783	Swanmore B 3-7 IBM C	16.0%	01/10/19
  783	Kings A 5-5 Five Tees C	16.0%	11/11/19
  765	Kings B 6-4 Medstead A	13.4%	09/10/19
  762	Swanmore B 2-8 Kings D	12.9%	26/11/19
  754	Kings B 5-5 Five Tees A	11.7%	20/11/19

  
  
• Giantkillers
  Who are the pussycats who occasionally roar 'Miaou!!' after a lifetime of meekly saying 'Mew!'? You're featured here!
  The averages shown are per Division, and regardless of which team(s) you played for in that Division.
  Qualification: 7 Singles in the Division concerned, and at least a 35% difference.
  

  	Div	Percent Diff	Underdog		Favourite	Scores
  16 Oct	3	50.0%	Raphael Herbaut (33.3%)	beat	Jill Wilson (83.3%)	9-11, 11-7, 11-6, 11-9
  7 Oct	2	46.7%	Martyn Davey (33.3%)	beat	Iliya Dimitrov (80.0%)	11-4, 12-10, 4-11, 11-5
  7 Oct	3	44.5%	Raphael Herbaut (33.3%)	beat	Ian Burgess (77.8%)	8-11, 13-11, 5-11, 11-9, 11-8
  14 Oct	1	44.5%	Hitender Razora (22.2%)	beat	Cameron Brealey (66.7%)	11-9, 12-10, 9-11, 12-10
  7 Oct	1	41.7%	Keith Charbit-Middleton (33.3%)	beat	Keith Dickenson (75.0%)	11-7, 7-11, 11-13, 11-9, 11-9
  7 Oct	3	38.9%	Vas Shcherbinin (44.4%)	beat	Jill Wilson (83.3%)	11-9, 11-8, 11-9
  3 Dec	2	37.2%	Phil Lee (27.8%)	beat	Antony Moore (65.0%)	11-7, 13-11, 11-8

  
  
• They did not cave in after going 2-0 down...
  Is it worth battling on after going 2-0 down in games, even though your average is worse than your opponent's? These players thought so!
  The results are listed in 'Giantkiller' order, comparing the League averages of both players.
  A minus-sign in the 'Percent Diff' column means the player came back to win, even though he or she has a lower average in the same Division.
  To keep the list short, only those who have beaten players with a better average are shown.

  Winner	Loser	Match	Leg score	Percent Diff
  Dan Kimber	Antony Moore	Swanmore A 5-5 South Wonston B	12-10, 11-4, 3-11, 9-11, 7-11	-31.7
  Teresa Hildyard	Vas Shcherbinin	Kings E 3-7 IBM C	8-11, 8-11, 11-8, 11-2, 11-8	-17.7
  Quentin Brook	Steve Coltman	Swanmore B 2-8 Kings D	12-10, 11-9, 8-11, 11-13, 10-12	-16.7
  Cameron Aris	Hugo Gregan	Kings A 7-3 Five Tees B	8-11, 8-11, 11-5, 11-6, 11-8	-6.6

  
  
• Distribution of match scores ..interesting differences between Divisions
  
  • Now we have 3 Divisions, I'd expect Division 2 results to cluster around the middle (5-5 or 6-4), with more extreme results in Divisions 1 and 3. Let's see what happens.

  Division 1 1   1   0 5           4         5           3       2     1   1   1   10-0 9-1 8-2 7-3 6-4 5-5 4-6 3-7 2-8 1-9 0-10 Home wins 11 Draws 5 Away wins 8

  Division 2 0 1   1   0 3       6             4         10                     1   1   0 10-0 9-1 8-2 7-3 6-4 5-5 4-6 3-7 2-8 1-9 0-10 Home wins 5 Draws 6 Away wins 16

  Division 3 2     4         3       4         2     3       1   5           3       2     1   10-0 9-1 8-2 7-3 6-4 5-5 4-6 3-7 2-8 1-9 0-10 Home wins 15 Draws 3 Away wins 12

• Improvers
  Who has apparently improved most this season, compared to last season?
  This table assumes that if Player A has played Player B this season AND last season, and has won a greater percentage of the points in those matches this season than last season, then Player A has improved relative to Player B. Of course, both may have improved or got worse, so we consider ALL of the players that Player A has played in BOTH seasons ('players-in-common'), and calculate who has made the biggest improvement overall.
  Players you have ONLY played this season or ONLY played last season don't count towards your Score.
  You're unlikely to appear in the list in either of these cases:
  • This is your first season in the League (no 'last season' to compare with)
  • You're playing in a different Division from last season (not enough players-in-common to compare with)
  Contact martinhealeys.org.uk if you have any comments or questions!
  This table is about improvement - win or lose, you only have to do better in terms of points than you did against the same people last season, to score higher on this list!
  47 League players currently have enough players-in-common over the two seasons to qualify (6 players-in-common is the minimum), but only Improvers (those with a Score higher than 0%) are listed here!
  

  Pos	Player	Club	Improvement	This Season % ('pts for'/total)	Last Season % ('pts for'/total)	Players-In-Common (mouse over to see who they are)
  1	Graham Lynch	Five Tees	13.7%	71.6% (297/415)	63.0% (459/729)	9
  2	Bobby Zhou	Kings	12.0%	54.0% (348/644)	48.2% (410/850)	9
  3	David Wills	Five Tees	11.7%	59.3% (562/947)	53.1% (862/1623)	11
  4	Colin Ley-Smith	Winnall	10.8%	53.0% (323/610)	47.8% (482/1009)	8
  5	Dan Kimber	South Wonston	9.9%	46.4% (329/709)	42.2% (204/483)	8
  6	Kevin Sage	Swanmore	9.6%	45.2% (273/604)	41.2% (294/713)	9
  7	Martyn Davey	South Wonston	9.0%	48.9% (261/534)	44.9% (244/544)	7
  8	Julian Walton	IBM	9.0%	60.4% (307/508)	55.5% (376/678)	9
  9	Clive Welsman	Kings	8.2%	54.0% (288/533)	50.0% (622/1245)	8
  10	Leyon Joseph	Five Tees	6.7%	49.2% (442/899)	46.1% (714/1549)	11
  11	Rob Christie	Swanmore	5.6%	46.1% (304/659)	43.7% (252/577)	8
  12	Steve Coltman	Swanmore	5.6%	50.8% (314/618)	48.1% (526/1093)	8
  13	Teresa Hildyard	Kings	5.5%	42.5% (236/555)	40.3% (330/819)	9
  14	Geoff Pavey	Swanmore	5.2%	50.8% (299/589)	48.2% (741/1536)	9
  15	Tim Kimber	South Wonston	5.2%	54.6% (495/907)	51.9% (473/912)	11
  16	John Pryor	Kings	4.5%	50.7% (412/812)	48.5% (700/1442)	11
  17	Russell Durham	Winnall	3.9%	53.3% (475/892)	51.3% (815/1590)	11
  18	Kevin Muldowney	Swanmore	3.8%	54.4% (509/936)	52.4% (676/1290)	9
  19	Jill Wilson	Kings	3.2%	57.9% (270/466)	56.1% (660/1176)	7
  20	Phil Lee	South Wonston	2.9%	46.3% (346/747)	45.0% (298/662)	6
  21	Dave Hooker	Winnall	2.7%	49.4% (493/997)	48.1% (882/1832)	14
  22	Hannah Wills	Five Tees	2.6%	52.9% (382/722)	51.6% (515/999)	9
  23	Steve Brown	IBM	2.4%	48.2% (358/742)	47.1% (528/1121)	10
  24	Quentin Brook	Kings	1.4%	47.0% (329/700)	46.4% (473/1020)	9
  25	Cameron Aris	Kings	1.2%	45.8% (410/896)	45.2% (588/1300)	11
  26	Oliver Lee	South Wonston	0.3%	48.7% (388/797)	48.5% (460/948)	8