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Turnover Ledger Leaders (Net Turnover Value per 60)

Name: Turnover Ledger Leaders (Net Turnover Value per 60) (2024-25)
Creator: Edgehalla

2024-255-on-5Through 82 team games

A giveaway behind your own net and a giveaway at the offensive blue line are both one "GV" in the box score, but the first one hands the opponent a chance worth about twice as much. The Turnover Ledger credits every takeaway and debits every giveaway by the league-average expected goals that follow a turnover in that zone.

We deliberately use the league zone value, not what actually happened after each turnover: the per-event outcome is almost pure noise, while how often a player wins and loses the puck in each zone is a real trait.

Leader in 2024-25: Alexander Wennberg (SJS), +0.004 TO± /60.

Season2026-27 2025-26 2024-25 2023-24

Strength5-on-5 All situations

595 qualified

Show

Turnover Ledger Leaders (Net Turnover Value per 60), 2024-25, 5-on-5
#	Player	Team			TK/60	GV/60
1	Alexander WennbergFSJS	SJS	+0.004	1,021	1.70	2.00	+0.06	44.0%	50.4%	25%▼1.6
2	Alex IafalloFWPG	WPG	+0.003	813	1.40	1.84	+0.04	52.5%	49.9%	4.3%▲3
3	Jordan EberleFSEA	SEA	+0.001	541	2.22	3.00	+0.01	47.4%	50.7%	30%▲2.6
4	Morgan BarronFWPG	WPG	+0.000	668	1.89	2.69	+0.00	52.5%	49.4%	4.8%▲4.7
5	Jaden SchwartzFSEA	SEA	−0.002	1,164	1.96	2.84	−0.04	47.6%	50.1%	11%▲10
6	Gabriel VilardiFWPG	WPG	−0.004	1,054	1.14	1.77	−0.07	52.3%	50.2%	80%▲7.7
7	Brock NelsonFNYI/COL	NYI/COL	−0.005	1,154	1.66	2.34	−0.09	51.1%	50.0%	87%▼4
8	Charlie CoyleFBOS/COL	BOS/COL	−0.006	1,033	1.86	2.56	−0.11	49.2%	50.1%	48%▼12
9	Michael AmadioFOTT	OTT	−0.009	919	1.57	2.22	−0.13	49.5%	50.0%	3.3%▲2.6
10	Brock BoeserFVAN	VAN	−0.009	1,035	0.99	1.62	−0.15	50.0%	50.0%	63%▼5.5
11	Ryan Nugent-HopkinsFEDM	EDM	−0.009	1,016	1.24	1.89	−0.15	55.3%	50.0%	77%▲15
12	Andrew CoppFDET	DET	−0.009	722	1.41	2.57	−0.11	47.8%	49.7%	8.3%▲7
13	Jonathan DrouinFCOL	COL	−0.010	607	1.38	2.57	−0.10	53.7%	50.4%	0.5%
14	Mathieu JosephFSTL	STL	−0.010	644	1.31	2.14	−0.10	50.2%	49.7%	0.1%
15	Isac LundeströmFANA	ANA	−0.010	827	0.94	1.67	−0.13	43.0%	49.9%	0.0%
16	David PerronFOTT	OTT	−0.010	501	1.32	2.51	−0.08	49.5%	49.9%	0.2%
17	Alexis LafrenièreFNYR	NYR	−0.010	1,214	1.14	1.83	−0.21	48.2%	50.3%	82%▲13
18	Morgan GeekieFBOS	BOS	−0.011	1,119	1.56	2.52	−0.20	49.6%	50.2%	97%▲8.6
19	Noah CatesFPHI	PHI	−0.011	984	1.10	1.83	−0.18	52.0%	50.2%	18%▲15
20	Steven LorentzFTOR	TOR	−0.011	742	0.97	1.78	−0.14	49.4%	49.7%	0.0%
21	Mitchell ChaffeeFTBL	TBL	−0.011	711	0.84	2.03	−0.13	51.3%	49.9%	0.0%
22	Andre BurakovskyFSEA	SEA	−0.011	976	1.11	2.03	−0.19	47.6%	49.9%	5.6%▲5.4
23	Brett HowdenFVGK	VGK	−0.012	1,055	1.19	2.27	−0.20	53.4%	49.7%	15%▲15
24	Michael McCarronFNSH	NSH	−0.012	823	0.88	1.97	−0.16	49.1%	49.8%	7.3%▲6.9
25	Elias LindholmFBOS	BOS	−0.012	1,013	0.95	1.95	−0.20	48.8%	50.5%	43%▲4.6
26	Brayden PointFTBL	TBL	−0.012	1,148	0.78	1.62	−0.23	53.6%	50.0%	95%▲7.7
27	Elias PetterssonFVAN	VAN	−0.012	875	1.30	2.13	−0.18	50.0%	50.1%	87%▼5.8
28	Nick RobertsonFTOR	TOR	−0.012	743	1.37	2.10	−0.15	50.6%	49.5%	24%▲23
29	Zack OstapchukFOTT/SJS	OTT/SJS	−0.012	498	0.96	2.17	−0.10	46.6%	49.3%	3.2%▲3.1
30	Tomas HertlFVGK	VGK	−0.013	985	1.64	2.44	−0.21	53.5%	49.8%	83%▲2.9
31	Ryan LombergFCGY	CGY	−0.013	678	0.97	1.59	−0.14	47.0%	49.5%	0.1%
32	Anthony BeauvillierFPIT/WSH	PIT/WSH	−0.013	989	0.79	1.70	−0.21	48.9%	49.9%	4.0%▲3.8
33	Ridly GreigFOTT	OTT	−0.013	1,008	0.83	1.73	−0.22	50.2%	50.1%	15%▲13
34	Logan O'ConnorFCOL	COL	−0.013	940	0.96	1.92	−0.20	52.2%	49.8%	0.2%
35	Jiri KulichFBUF	BUF	−0.013	774	1.16	2.17	−0.17	49.0%	49.9%	26%▲25
36	Bobby McMannFTOR	TOR	−0.013	961	1.00	1.94	−0.21	50.9%	50.1%	45%▲2
37	Josh AndersonFMTL	MTL	−0.013	989	0.85	1.94	−0.22	48.1%	50.0%	10%▲9.2
38	Philip TomasinoFPIT/NSH	PIT/NSH	−0.013	701	1.37	2.48	−0.16	48.3%	50.2%	—
39	Kiefer SherwoodFVAN	VAN	−0.014	943	1.40	2.80	−0.21	49.5%	49.7%	60%▲7
40	Alex NewhookFMTL	MTL	−0.014	1,057	0.85	1.99	−0.24	47.5%	49.9%	26%▲23
41	Wyatt JohnstonFDAL	DAL	−0.015	1,097	1.42	2.46	−0.27	50.6%	50.2%	100%▲0.8
42	Jonny BrodzinskiFNYR	NYR	−0.015	554	1.19	2.49	−0.14	47.3%	49.9%	0.0%
43	Luke EvangelistaFNSH	NSH	−0.015	835	0.93	2.37	−0.21	50.0%	50.2%	70%▲23
44	Jesper BoqvistFFLA	FLA	−0.015	914	0.99	2.10	−0.23	53.8%	49.6%	0.1%
45	Zemgus GirgensonsFTBL	TBL	−0.016	824	0.66	1.82	−0.21	50.6%	49.6%	3.2%▲3
46	Luke KuninFSJS/CBJ	SJS/CBJ	−0.016	903	0.66	1.66	−0.23	43.9%	50.2%	0.0%
47	Paul CotterFNJD	NJD	−0.016	967	1.05	2.29	−0.26	51.3%	49.8%	14%▲14
48	Matt CoronatoFCGY	CGY	−0.016	1,090	1.10	2.37	−0.29	48.8%	49.9%	40%▲6.7
49	Kyle MacLeanFNYI	NYI	−0.016	775	0.93	1.93	−0.21	48.6%	49.5%	0.0%
50	Pontus HolmbergFTOR	TOR	−0.016	783	0.69	1.84	−0.21	50.3%	49.7%	0.1%
51	Jaccob SlavinDCAR	CAR	−0.016	1,400	2.14	3.04	−0.38	55.0%	50.3%	15%▲3.8
52	Trevor MooreFLAK	LAK	−0.017	935	1.22	2.44	−0.26	55.0%	50.1%	9.1%
53	Mason AppletonFWPG	WPG	−0.017	960	0.88	2.19	−0.27	51.5%	50.0%	0.1%
54	Zach BensonFBUF	BUF	−0.017	909	1.12	2.44	−0.25	48.3%	49.9%	56%▲44
55	Nazem KadriFCGY	CGY	−0.017	1,239	1.31	2.47	−0.35	48.4%	50.0%	70%▼9.7
56	Gage GoncalvesFTBL	TBL	−0.017	727	1.48	2.80	−0.21	51.5%	49.7%	11%▲11
57	Jean-Gabriel PageauFNYI	NYI	−0.017	1,013	1.13	2.37	−0.29	50.5%	50.0%	12%▲11
58	Zach HymanFEDM	EDM	−0.018	1,080	0.61	2.05	−0.32	55.9%	50.0%	98%▼1.4
59	Colton SissonsFNSH	NSH	−0.018	829	1.16	2.24	−0.25	49.2%	49.8%	3.3%▲3.1
60	Morgan FrostFPHI/CGY	PHI/CGY	−0.018	1,010	1.90	3.21	−0.30	50.3%	49.8%	23%▲17
61	Cole CaufieldFMTL	MTL	−0.018	1,142	0.95	2.21	−0.35	48.7%	50.5%	100%▲0.9
62	Frederick GaudreauFMIN	MIN	−0.018	1,008	1.31	2.38	−0.31	48.2%	50.0%	0.1%
63	Robby FabbriFANA	ANA	−0.018	595	1.41	2.52	−0.18	44.3%	50.7%	—
64	Shane PintoFOTT	OTT	−0.018	941	1.15	2.36	−0.29	50.0%	50.2%	37%▲22
65	Keegan KolesarFVGK	VGK	−0.018	1,032	0.70	1.98	−0.32	52.4%	49.6%	5.2%▲3.4
66	Fabian ZetterlundFSJS/OTT	SJS/OTT	−0.018	1,147	0.99	2.46	−0.35	45.4%	50.2%	13%▲6.6
67	Warren FoegeleFLAK	LAK	−0.019	1,098	1.64	3.12	−0.34	54.4%	49.7%	4.0%▲3.9
68	Drake BathersonFOTT	OTT	−0.019	1,118	1.07	2.25	−0.35	49.6%	50.1%	97%▲7.4
69	Alexey ToropchenkoFSTL	STL	−0.019	884	0.34	1.56	−0.27	49.5%	49.6%	0.1%
70	Josh DoanFUTA	UTA	−0.019	600	1.00	2.30	−0.19	52.6%	49.3%	61%▲44
71	Nick PaulFTBL	TBL	−0.019	1,074	1.06	2.46	−0.34	52.2%	49.9%	8.1%▲7.7
72	Jason DickinsonFCHI	CHI	−0.019	743	0.89	2.02	−0.24	44.4%	50.6%	3.2%▲3
73	Mark KastelicFBOS	BOS	−0.019	627	1.15	2.39	−0.20	47.2%	49.9%	13%▲12
74	Michael EyssimontFTBL/SEA	TBL/SEA	−0.019	808	0.89	2.45	−0.26	49.9%	49.6%	0.1%
75	Luke GlendeningFTBL	TBL	−0.019	684	0.44	1.49	−0.22	50.8%	49.4%	0.0%
76	Brady TkachukFOTT	OTT	−0.019	985	1.04	2.38	−0.32	50.0%	50.2%	100%▲2.2
77	Nic DowdFWSH	WSH	−0.020	992	1.51	2.66	−0.32	51.0%	50.0%	3.2%▲3.1
78	Justin DowlingFNJD	NJD	−0.020	521	1.61	3.34	−0.17	51.4%	49.5%	—
79	Connor BrownFEDM	EDM	−0.020	976	1.29	2.95	−0.32	52.4%	49.6%	6.7%▲5.2
80	Logan StankovenFDAL/CAR	DAL/CAR	−0.020	992	1.09	2.48	−0.33	51.7%	49.6%	67%▲42
81	Sean WalkerDCAR	CAR	−0.020	1,237	1.94	3.01	−0.41	55.3%	49.5%	60%▼11
82	Philipp KurashevFCHI	CHI	−0.020	618	1.17	2.33	−0.20	43.9%	50.0%	0.1%
83	Dylan HollowayFSTL	STL	−0.020	1,089	1.71	3.42	−0.36	50.8%	49.8%	95%▲9.2
84	Adam LarssonDSEA	SEA	−0.020	1,449	1.33	1.99	−0.48	48.4%	50.0%	22%▼19
85	Jonatan BerggrenFDET	DET	−0.020	899	0.73	2.00	−0.30	47.6%	49.9%	4.0%▲3.9
86	Aleksander BarkovFFLA	FLA	−0.020	936	1.54	2.57	−0.31	55.4%	50.5%	97%▲7.2
87	Vladislav NamestnikovFWPG	WPG	−0.020	981	0.86	2.08	−0.33	53.3%	49.8%	0.1%
88	Zachary L'HeureuxFNSH	NSH	−0.020	676	1.24	2.75	−0.23	48.9%	50.2%	11%▲11
89	Connor McDavidFEDM	EDM	−0.021	1,153	1.40	3.17	−0.39	56.4%	50.2%	100%▲1.5
90	Filip ChytilFNYR/VAN	NYR/VAN	−0.021	715	1.01	2.35	−0.25	48.2%	49.5%	6.4%▲6.3
91	Ty EmbersonDEDM	EDM	−0.021	977	1.84	2.58	−0.34	52.4%	49.3%	0.0%
92	Mason McTavishFANA	ANA	−0.021	1,028	0.93	2.39	−0.36	44.0%	50.3%	51%▲36
93	Josh NorrisFOTT/BUF	OTT/BUF	−0.021	673	0.80	2.23	−0.23	50.0%	50.5%	39%▲32
94	Brandon DuhaimeFWSH	WSH	−0.021	890	0.74	2.22	−0.31	51.1%	50.0%	3.2%▲3
95	Joel KivirantaFCOL	COL	−0.021	854	0.84	2.25	−0.30	52.2%	49.8%	0.1%
96	Pavel DorofeyevFVGK	VGK	−0.021	1,124	1.23	2.62	−0.39	53.3%	49.8%	92%▲1.7
97	Mikko RantanenFCOL/DAL/CAR	COL/DAL/CAR	−0.021	1,310	1.47	3.21	−0.47	54.0%	50.2%	99%▲0.7
98	Noah GregorFOTT/SJS	OTT/SJS	−0.022	527	0.68	1.94	−0.19	47.6%	49.5%	0.0%
99	Tim StützleFOTT	OTT	−0.022	1,227	0.93	2.49	−0.44	50.0%	50.0%	100%▲0.8
100	Andrei KuzmenkoFCGY/LAK/PHI	CGY/LAK/PHI	−0.022	826	1.53	3.56	−0.30	49.9%	50.1%	11%▲9.8

Minimum sample: 492 min (it scales with games played and sequence coverage). 320 below the minimum are hidden.

How to read it

Net expected goals per 60 minutes. Positive means a player's zone-weighted takeaways outweigh his giveaways.

How reliable is it?

Turnover rates are stable; per-turnover outcomes are not (r ≈ 0.1), which is why we rate × value. Scorer recording changed in 2024-25, so compare within a season only.

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