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Angéliques Niort

Founded 1955 in Niort

Salle de la Sèvre, holding 2 000

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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.

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Where the points say

Angéliques Niort's wins match its points

0.0 wins

Angéliques Niort's points say about 11 wins in 13 league games. It has 11. A gap under 1 win says nothing yet.

11Wins so far

11.0Points say

84.5Scored a game

74.8Allowed a game

+9.6Margin

How we counted it

Points scored, 13 league games	1 098
Points allowed	973
Allowed ÷ scored	0.8862
To the power of 14	0.1841
Share of wins: 1 ÷ (1 + 0.1841)	84.45%
× 13 games played	10.98
Wins the points say	11.0 adds up

Wins so far	11
Difference	0.0 adds up

Close games. Decided by 5 points or fewer, overtime included: Angéliques Niort won 2 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 13. It is final when the season closes.

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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.

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Strength

A strong attack

114.7

Angéliques Niort score 114.7 points for every 100 trips. The league scores 104.1. That is 1st of 14.

ANN 114.7

League 104.1

How we counted it

100 × 1 098 points ÷ 957 possessions	114.7
League mean, 14 clubs	104.1
Rank, 14 clubs	1st of 14

Strength

Strong on the glass

29.3 %

Angéliques Niort win back 29.3 % of their misses. The league wins back 24.9 %. That is 1st of 14.

ANN 29.3 %

League 24.9 %

How we counted it

Angéliques Niort: 129 ÷ (129 + 311)	29.3 %
League mean, 14 clubs	24.9 %
Rank, 14 clubs	1st of 14

Strength

Hot shooting

52.9 %

Angéliques Niort shoot 52.9 % effective. The league shoots 50.6 %. That is 2nd of 14.

ANN 52.9 %

League 50.6 %

How we counted it

Angéliques Niort: (383 + ½ × 128) ÷ 845	52.9 %
League mean, 14 clubs	50.6 %
Rank, 14 clubs	2nd of 14

Best shot-maker

Charles Guillet

#27 · PG

40/77shots

90points

+13.4vs expected

How we counted it

40 made of 77, 10 of them threes	40/77
Points: 2 × 40 + 10	90
His shots are worth (expected)	76.6
Above expected	90 − 76.6 = +13.4 adds up

Four factors

Shootingeffective field goal % · 2nd of 14

ANN 52.9 %

League 50.6 %

How we counted it

Angéliques Niort: (383 + ½ × 128) ÷ 845	52.9 %
League mean, 14 clubs	50.6 %
Rank, 14 clubs	2nd of 14

Turnoverstrips lost, fewer is better · 3rd of 14

ANN 15.6 %

League 17.2 %

How we counted it

Angéliques Niort: 149 ÷ 957 possessions	15.6 %
League mean, 14 clubs	17.2 %
Rank, 14 clubs	3rd of 14

Reboundsown misses won back · 1st of 14

ANN 29.3 %

League 24.9 %

How we counted it

Angéliques Niort: 129 ÷ (129 + 311)	29.3 %
League mean, 14 clubs	24.9 %
Rank, 14 clubs	1st of 14

Free throwstries per shot · 2nd of 14

ANN 31.0 %

League 24.8 %

How we counted it

Angéliques Niort: 262 tries ÷ 845 shots	31.0 %
League mean, 14 clubs	24.8 %
Rank, 14 clubs	2nd of 14

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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.

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Lucky so far

Your shots have paid off

+54.9

Over 6 games Angéliques Niort's shots were worth 379.1 points and they scored 434 from the floor: 9.1 a game better than the league would do from the same shots.

+54.9

UnluckyAs expectedLucky

How we counted it

Points: 2 × 186 + 62	434
Expected points, the squad's shots added up	379.1
Shot-making	+54.9
A game	+9.14

Expected points are measured against league rates through round 13.

Angéliques Niort
Kind of shot	Shots	Worth	Points
Mid-range · Driveonly a few league shots like it, so the same play from the same zone: 45 % of 286	10	0.90	9.0
Mid-range · Drive · second chanceonly a few league shots like it, so the same play from the same zone: 45 % of 286	2	0.90	1.8
Mid-range · Drive · fast breakonly a few league shots like it, so the same play from the same zone: 45 % of 286	3	0.90	2.7
Mid-range · Drive · fast break · second chanceonly a few league shots like it, so the same play from the same zone: 45 % of 286	2	0.90	1.8
Mid-range · Post-uponly a few league shots like it, so the zone's rate: 37 % of 1 169	5	0.75	3.7
Mid-range · Post-up · second chanceonly a few league shots like it, so the zone's rate: 37 % of 1 169	1	0.75	0.7
Mid-range · Post-up · fast breakonly a few league shots like it, so the zone's rate: 37 % of 1 169	1	0.75	0.7
Mid-range · Catch and shoot39 % of 212 league shots	24	0.77	18.6
Mid-range · Catch and shoot · second chanceonly a few league shots like it, so the same play from the same zone: 38 % of 273	4	0.75	3.0
Mid-range · Catch and shoot · fast breakonly a few league shots like it, so the same play from the same zone: 38 % of 273	2	0.75	1.5
Mid-range · Pull-up31 % of 369 league shots	25	0.62	15.6
Mid-range · Pull-up · second chanceonly a few league shots like it, so the same play from the same zone: 32 % of 463	3	0.64	1.9
Mid-range · Pull-up · fast breakonly a few league shots like it, so the same play from the same zone: 32 % of 463	4	0.64	2.6
Mid-range · Pull-up · fast break · second chanceonly a few league shots like it, so the same play from the same zone: 32 % of 463	2	0.64	1.3
Rim · Drive59 % of 824 league shots	58	1.19	69.0
Rim · Drive · second chanceonly a few league shots like it, so the same play from the same zone: 60 % of 1 291	13	1.20	15.5
Rim · Drive · fast break59 % of 292 league shots	22	1.18	26.1
Rim · Drive · fast break · second chanceonly a few league shots like it, so the same play from the same zone: 60 % of 1 291	4	1.20	4.8
Rim · Post-uponly a few league shots like it, so the zone's rate: 61 % of 1 798	7	1.21	8.5
Rim · Post-up · fast breakonly a few league shots like it, so the zone's rate: 61 % of 1 798	1	1.21	1.2
Rim · Catch and shootonly a few league shots like it, so the same play from the same zone: 63 % of 210	10	1.26	12.6
Rim · Catch and shoot · second chanceonly a few league shots like it, so the same play from the same zone: 63 % of 210	3	1.26	3.8
Rim · Catch and shoot · fast breakonly a few league shots like it, so the same play from the same zone: 63 % of 210	4	1.26	5.0
Rim · Pull-uponly a few league shots like it, so the zone's rate: 61 % of 1 798	9	1.21	10.9
Rim · Pull-up · second chanceonly a few league shots like it, so the zone's rate: 61 % of 1 798	1	1.21	1.2
Rim · Pull-up · fast breakonly a few league shots like it, so the zone's rate: 61 % of 1 798	1	1.21	1.2
Three · Driveonly a few league shots like it, so the zone's rate: 33 % of 2 323	9	1.00	9.0
Three · Drive · second chanceonly a few league shots like it, so the zone's rate: 33 % of 2 323	3	1.00	3.0
Three · Catch and shoot33 % of 1 372 league shots	85	0.99	84.4
Three · Catch and shoot · second chance39 % of 231 league shots	17	1.18	20.1
Three · Catch and shoot · fast breakonly a few league shots like it, so the same play from the same zone: 34 % of 1 827	20	1.03	20.6
Three · Catch and shoot · fast break · second chanceonly a few league shots like it, so the same play from the same zone: 34 % of 1 827	1	1.03	1.0
Three · Pull-up29 % of 269 league shots	16	0.86	13.7
Three · Pull-up · second chanceonly a few league shots like it, so the same play from the same zone: 28 % of 355	1	0.85	0.9
Three · Pull-up · fast breakonly a few league shots like it, so the same play from the same zone: 28 % of 355	2	0.85	1.7
Total adds up	375	1.01	379.1

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Where Angéliques Niort 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.

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Every shot this season

375 of 375 shots shown

49.6%

186 of 375 from the floor, 6 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 91 / 133 68% · avg 1.9 ft 40 of the 91 makes assisted league 61% 182pts

MID 33 / 88 38% · avg 14.1 ft 14 of the 33 makes assisted league 38% 66pts

THREE 62 / 154 40% · avg 25.2 ft 49 of the 62 makes assisted league 33% 186pts

186 of 375 from the floor, 434 points, + 109 from the line

The dots cover 6 of 13 league games; earlier games have no shot record.

103 of 186 makes were assisted (55%): 40 + 14 + 49.

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 13 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 13 games are counted.

Where the shots came from

RimMid-rangeThree

Angéliques Niort

35% 23% 41%

League

34% 22% 44%

DrivePost-upCatch and shootPull-up

Angéliques Niort

34% 45% 17%

League

32% 44% 17%

How we counted it

Angéliques Niort: drives + post-ups + catch and shoot + pull-ups	126 drives + 15 post-ups + 170 catch and shoot + 64 pull-ups = 375

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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.

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Charles Guillet PG 29 y

Solid41–60

Age: 29
Potential: Strong (61–80)
Form: 0.2
Contract ends: End of season 4

40/77 shots 76.6 expected 90 scored ▲ +13.4

Gabin Bertin SG 23 y

Solid41–60

Age: 23
Potential: Strong (61–80)
Form: -0.1
Contract ends: End of season 3

32/69 shots 71.3 expected 76 scored ▲ +4.7

Xoán Korkmaz SG 28 y

Solid41–60

Age: 28
Potential: Solid (41–60)
Form: 0.2
Contract ends: End of season 3

30/74 shots 73.8 expected 72 scored ▼ −1.8

A man is listed from 50 shots.