Manage a club, start free

Ušare Kikinda

Founded 1984 in Kikinda

Dvorana kod Suvače, holding 5 000

⁠

Wins the points say

Expected wins

The wins a club's points scored and allowed say it should have, by the Pythagorean share: wins follow the points a team scores and allows, to the power of 14 for basketball (Daryl Morey's fit). A club's wins minus its expected wins is how far the table runs from its points.

Over a whole season the two agree closely, and a club far from its expected wins is usually one that won or lost more than its share of close games. It changes nothing in the standings; it is a reading of them.

Nothing to fix in the table itself: a club behind its points is probably better than its record, one ahead of them probably flatters itself. Close-game results settle over a season.

See all terms

Where the points say

Ušare Kikinda's wins match its points

−0.7 wins

Ušare Kikinda's points say about 10 wins in 15 league games. It has 9. A gap under 1 win says nothing yet.

9Wins so far

9.7Points say

81.7Scored a game

78.3Allowed a game

+3.4Margin

How we counted it

Points scored, 15 league games	1 226
Points allowed	1 175
Allowed ÷ scored	0.9584
To the power of 14	0.5516
Share of wins: 1 ÷ (1 + 0.5516)	64.45%
× 15 games played	9.67
Wins the points say	9.7 adds up

Wins so far	9
Difference	−0.7 adds up

Close games. Decided by 5 points or fewer, overtime included: Ušare Kikinda won 0 and lost 1. It is a fact, not part of the sum above.

Why 14. Bill James found that a team's wins follow the points it scores and allows. Daryl Morey fitted the same idea to basketball and found an exponent of about 14, and Dean Oliver's work on basketball analytics lands in the same place. It is a guide, not a law: a team that loses its close games runs below it, one that wins them runs above.

Regular season only, through round 15. It is final when the season closes.

⁠

The season in three lines

The four factors

The four things that decide a basketball game, after Dean Oliver: shooting (effective field goal %, which counts a three as one and a half), turnovers (the share of trips thrown away), rebounds (the share of own misses won back) and free throws (tries per shot). The bars show each club against the other, and the club page shows it against the league.

They add up to the margin: the report's three cards are the factors that moved the score most, in points.

Work on the factor the card calls costly: ball handlers and the tempo for turnovers, bigs for rebounds, drivers for the line.

See all terms

Strength

A solid defence

104.8

Ušare Kikinda let in 104.8 per 100 trips against the league's 111.4. Lower is better: 1st of 16.

USK 104.8

League 111.4

How we counted it

100 × 1 175 allowed ÷ 1 121 possessions	104.8
League mean, 16 clubs	111.4
Rank, 16 clubs	1st of 16

Weakness

Cold shooting

50.7 %

Ušare Kikinda shoot 50.7 % effective. The league shoots 53.8 %. That is 15th of 16.

USK 50.7 %

League 53.8 %

How we counted it

Ušare Kikinda: (437 + ½ × 143) ÷ 1 002	50.7 %
League mean, 16 clubs	53.8 %
Rank, 16 clubs	15th of 16

Weakness

A thin attack

108.3

Ušare Kikinda score 108.3 points for every 100 trips. The league scores 111.4. That is 12th of 16.

USK 108.3

League 111.4

How we counted it

100 × 1 226 points ÷ 1 132 possessions	108.3
League mean, 16 clubs	111.4
Rank, 16 clubs	12th of 16

Best shot-maker

Zlatko Sladojević

#30 · SF

29/54shots

68points

+14.9vs expected

How we counted it

29 made of 54, 10 of them threes	29/54
Points: 2 × 29 + 10	68
His shots are worth (expected)	53.1
Above expected	68 − 53.1 = +14.9 adds up

Four factors

Shootingeffective field goal % · 15th of 16

USK 50.7 %

League 53.8 %

How we counted it

Ušare Kikinda: (437 + ½ × 143) ÷ 1 002	50.7 %
League mean, 16 clubs	53.8 %
Rank, 16 clubs	15th of 16

Turnoverstrips lost, fewer is better · 5th of 16

USK 16.4 %

League 17.2 %

How we counted it

Ušare Kikinda: 186 ÷ 1 132 possessions	16.4 %
League mean, 16 clubs	17.2 %
Rank, 16 clubs	5th of 16

Reboundsown misses won back · 8th of 16

USK 27.0 %

League 26.1 %

How we counted it

Ušare Kikinda: 145 ÷ (145 + 393)	27.0 %
League mean, 16 clubs	26.1 %
Rank, 16 clubs	8th of 16

Free throwstries per shot · 11th of 16

USK 25.4 %

League 26.9 %

How we counted it

Ušare Kikinda: 255 tries ÷ 1 002 shots	25.4 %
League mean, 16 clubs	26.9 %
Rank, 16 clubs	11th of 16

⁠

Lucky or unlucky?

Shot-making

Points scored from the floor minus the points those shots are worth. Above zero is shooting better than the league does from the same shots, below zero is worse. Free throws are not shots and are not in it.

Over a night it is mostly luck, and the page calls it that: a few points either way is as expected. Over a season it settles, and a man far from zero is either a real finisher or a man whose luck will turn.

Rest or sharpen the man if it is persistently below zero; do not rebuild the attack on one hot night.

See all terms

Unlucky so far

Your shots have not paid off

−24.6

Over 6 games Ušare Kikinda's shots were worth 405.6 points and they scored 381 from the floor: 4.1 a game worse than the league would do from the same shots.

−24.6

UnluckyAs expectedLucky

How we counted it

Points: 2 × 165 + 51	381
Expected points, the squad's shots added up	405.6
Shot-making	−24.6
A game	−4.09

Expected points are measured against league rates through round 15.

Ušare Kikinda
Kind of shot	Shots	Worth	Points
Mid-range · Driveonly a few league shots like it, so the same play from the same zone: 33 % of 275	11	0.67	7.4
Mid-range · Drive · second chanceonly a few league shots like it, so the same play from the same zone: 33 % of 275	3	0.67	2.0
Mid-range · Drive · fast breakonly a few league shots like it, so the same play from the same zone: 33 % of 275	2	0.67	1.3
Mid-range · Post-uponly a few league shots like it, so the zone's rate: 37 % of 1 274	12	0.74	8.9
Mid-range · Post-up · second chanceonly a few league shots like it, so the zone's rate: 37 % of 1 274	1	0.74	0.7
Mid-range · Post-up · fast breakonly a few league shots like it, so the zone's rate: 37 % of 1 274	2	0.74	1.5
Mid-range · Catch and shoot45 % of 204 league shots	21	0.90	18.9
Mid-range · Catch and shoot · second chanceonly a few league shots like it, so the same play from the same zone: 42 % of 277	5	0.84	4.2
Mid-range · Catch and shoot · fast breakonly a few league shots like it, so the same play from the same zone: 42 % of 277	4	0.84	3.4
Mid-range · Pull-up37 % of 418 league shots	26	0.74	19.3
Mid-range · Pull-up · second chanceonly a few league shots like it, so the same play from the same zone: 36 % of 552	6	0.72	4.3
Mid-range · Pull-up · fast breakonly a few league shots like it, so the same play from the same zone: 36 % of 552	7	0.72	5.1
Mid-range · Pull-up · fast break · second chanceonly a few league shots like it, so the same play from the same zone: 36 % of 552	1	0.72	0.7
Rim · Drive63 % of 1 033 league shots	59	1.26	74.4
Rim · Drive · second chanceonly a few league shots like it, so the same play from the same zone: 64 % of 1 613	5	1.28	6.4
Rim · Drive · fast break70 % of 387 league shots	14	1.41	19.7
Rim · Drive · fast break · second chanceonly a few league shots like it, so the same play from the same zone: 64 % of 1 613	3	1.28	3.8
Rim · Post-up59 % of 227 league shots	13	1.17	15.2
Rim · Post-up · second chanceonly a few league shots like it, so the same play from the same zone: 60 % of 294	1	1.20	1.2
Rim · Post-up · fast breakonly a few league shots like it, so the same play from the same zone: 60 % of 294	2	1.20	2.4
Rim · Catch and shoot67 % of 212 league shots	9	1.33	12.0
Rim · Catch and shoot · second chanceonly a few league shots like it, so the same play from the same zone: 66 % of 352	3	1.33	4.0
Rim · Catch and shoot · fast breakonly a few league shots like it, so the same play from the same zone: 66 % of 352	4	1.33	5.3
Rim · Pull-uponly a few league shots like it, so the zone's rate: 64 % of 2 435	4	1.27	5.1
Rim · Pull-up · fast breakonly a few league shots like it, so the zone's rate: 64 % of 2 435	2	1.27	2.6
Three · Driveonly a few league shots like it, so the same play from the same zone: 34 % of 208	7	1.01	7.1
Three · Drive · second chanceonly a few league shots like it, so the same play from the same zone: 34 % of 208	3	1.01	3.0
Three · Drive · fast breakonly a few league shots like it, so the same play from the same zone: 34 % of 208	1	1.01	1.0
Three · Catch and shoot36 % of 1 535 league shots	106	1.07	112.9
Three · Catch and shoot · second chance37 % of 248 league shots	13	1.11	14.5
Three · Catch and shoot · fast break37 % of 255 league shots	12	1.11	13.3
Three · Catch and shoot · fast break · second chanceonly a few league shots like it, so the same play from the same zone: 36 % of 2 067	2	1.08	2.2
Three · Pull-up35 % of 321 league shots	18	1.05	18.8
Three · Pull-up · second chanceonly a few league shots like it, so the same play from the same zone: 33 % of 437	1	0.99	1.0
Three · Pull-up · fast breakonly a few league shots like it, so the same play from the same zone: 33 % of 437	1	0.99	1.0
Three · Pull-up · fast break · second chanceonly a few league shots like it, so the same play from the same zone: 33 % of 437	1	0.99	1.0
Total adds up	385	1.05	405.6

⁠

Where Ušare Kikinda shoot

Shots by zone

Every shot of the match as a dot: filled when it went in, hollow when it missed, with a bar through it when it was blocked. How far from the ring each shot was is the match record. The side of the floor it came from is drawn for the picture, the same way the replay stages it, so every reader sees the same dot and no dot claims a spot the game never recorded. The three zones, rim, mid-range and three, count the dots and add up to the box score.

A zone is warm when the club shot at least five points better than the league does from there, cool when that much worse. Filtering by man, quarter or result recounts the zones from the dots shown, so every number is a count of what is on the court.

Shape the attack toward the zone where your men shoot best: the tactics page moves shots between the rim, the mid-range and the three.

See all terms

Every shot this season

456 of 456 shots shown

42.5%

194 of 456 from the floor, 7 league games

Made
Missed
Regular season only. The same games as the league table and the wins the points say. The side of the floor is drawn for the picture.

Shots by zone

Tinted against the league

RIM 90 / 144 63% · avg 2.0 ft 50 of the 90 makes assisted league 63% 180pts

MID 42 / 115 37% · avg 13.9 ft 17 of the 42 makes assisted league 38% 84pts

THREE 62 / 197 32% · avg 25.3 ft 54 of the 62 makes assisted league 35% 186pts

194 of 456 from the floor, 450 points, + 105 from the line

The dots cover 7 of 15 league games; earlier games have no shot record.

121 of 194 makes were assisted (62%): 50 + 17 + 54.

One man's season is on his player page, under Where he shoots.

Shot quality is counted from the 6 games whose streams are stored, of 15 played.

More statsTrends, shot mix, the squad's shooters

Trends

Net rating

Offence

Shooting %

Dots are games, the line is the five-game mean, the dashed line is the league. All 15 games are counted.

Where the shots came from

RimMid-rangeThree

Ušare Kikinda

31% 26% 43%

League

38% 20% 42%

DrivePost-upCatch and shootPull-up

Ušare Kikinda

28% 8% 46% 17%

League

33% 42% 18%

How we counted it

Ušare Kikinda: drives + post-ups + catch and shoot + pull-ups	108 drives + 31 post-ups + 179 catch and shoot + 67 pull-ups = 385

⁠

Best shot-makers

Expected points

The points the league gets from shots like this one this season: the zone, the play, whether it came on the break and whether it came on a second chance. It does not know who was guarding or how far out he stood, because the game records neither. A club's expected points are the sum over its shots, and every figure opens to the kinds of shot it is made of.

It is a measure, not a rule: nothing in a match depends on it. It tells shot selection (how good the shots were) apart from shot-making (what the men did with them), so a bad night reads as bad luck or bad shots rather than just a bad night.

Take more of the shots the league scores most from, the rim and the open three, and fewer long pull-ups; the tactics page moves shots between them.

See all terms

Zlatko Sladojević SF 29 y

Solid41–60

Age: 29
Potential: Solid (41–60)
Form: 0.0
Contract ends: End of season 3

29/54 shots 53.1 expected 68 scored ▲ +14.9

Ergün Kuş SG 28 y

Strong61–80

Age: 28
Potential: Strong (61–80)
Form: 0.0
Contract ends: End of season 3

41/87 shots 90.8 expected 96 scored ▲ +5.2

Slaviša Kovač PF 28 y

Strong61–80

Age: 28
Potential: Strong (61–80)
Form: -0.1
Contract ends: End of season 3

27/69 shots 74.8 expected 61 scored ▼ −13.8

A man is listed from 50 shots.