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Turnover Ledger Leaders (Net Turnover Value per 60)

Name: Turnover Ledger Leaders (Net Turnover Value per 60) (2025-26)
Creator: Edgehalla

2025-26All situationsThrough 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 2025-26: Justin Hryckowian (DAL), +0.011 TO± /60.

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

Strength5-on-5 All situations

619 qualified

Show

Turnover Ledger Leaders (Net Turnover Value per 60), 2025-26, All situations
#	Player	Team			TK/60	GV/60
1	Justin HryckowianFDAL	DAL	+0.011	1,077	1.45	1.39	+0.19	51.3%	49.9%	18%▲17
2	Ryan O'ReillyFNSH	NSH	+0.005	1,652	1.82	1.78	+0.14	48.8%	50.5%	84%▲5.1
3	Radek FaksaFDAL	DAL	+0.000	681	1.23	1.59	+0.00	50.8%	49.5%	0.1%
4	William CarrierFCAR	CAR	+0.000	753	1.20	1.51	+0.00	55.3%	49.5%	0.1%
5	Braeden BowmanFVGK	VGK	−0.001	763	1.26	1.73	−0.01	54.8%	49.6%	16%▲16
6	Jonny BrodzinskiFNYR	NYR	−0.002	614	1.37	1.95	−0.02	47.0%	50.4%	0.0%
7	Fraser MintenFBOS	BOS	−0.002	1,275	1.27	1.88	−0.04	49.0%	50.2%	45%▲35
8	Noah CatesFPHI	PHI	−0.003	1,332	1.17	1.71	−0.07	52.2%	50.1%	18%▲15
9	Luke GlendeningFNJD/PHI	NJD/PHI	−0.003	738	0.49	0.89	−0.04	48.0%	50.0%	0.0%
10	Kailer YamamotoFUTA	UTA	−0.004	696	1.47	2.07	−0.04	51.7%	49.6%	0.2%
11	Tyson FoersterFPHI	PHI	−0.004	502	1.32	2.03	−0.03	52.4%	50.2%	42%▲38
12	Logan StankovenFCAR	CAR	−0.005	1,251	1.34	2.21	−0.11	55.9%	49.7%	67%▲42
13	Frederick GaudreauFSEA	SEA	−0.006	1,098	1.37	1.97	−0.11	45.9%	50.0%	0.1%
14	Josh DoanFBUF	BUF	−0.006	1,301	2.12	2.95	−0.13	50.9%	50.1%	61%▲44
15	Cole SmithFNSH/VGK	NSH/VGK	−0.007	823	1.02	1.53	−0.09	48.0%	49.9%	0.1%
16	Fabian ZetterlundFOTT	OTT	−0.008	1,059	1.13	2.04	−0.13	54.6%	49.6%	13%▲6.6
17	Mathieu JosephFSTL/LAK	STL/LAK	−0.008	611	1.37	2.45	−0.09	49.4%	49.1%	0.1%
18	Marc GatcombFNYI	NYI	−0.008	494	0.73	1.46	−0.07	47.5%	49.4%	4.9%▲4.8
19	Mathieu OlivierFCBJ	CBJ	−0.009	868	0.83	1.59	−0.12	51.5%	49.8%	18%▲15
20	Arseny GritsyukFNJD	NJD	−0.009	1,002	1.44	2.76	−0.14	49.0%	50.2%	22%▲21
21	Gustav NyquistFWPG	WPG	−0.009	647	1.11	2.32	−0.10	47.4%	49.9%	0.0%
22	Kirby DachFMTL	MTL	−0.009	505	1.31	2.02	−0.08	50.4%	49.9%	12%▲11
23	Seth JarvisFCAR	CAR	−0.009	1,340	1.84	2.55	−0.20	55.0%	50.1%	95%▲1.5
24	Landon SlaggertFCHI	CHI	−0.010	559	0.43	1.29	−0.09	44.1%	49.9%	0.0%
25	Charlie CoyleFCBJ	CBJ	−0.010	1,484	1.37	2.14	−0.24	51.2%	50.2%	48%▼12
26	Tyson JostFNSH	NSH	−0.010	857	1.54	2.52	−0.14	47.4%	49.4%	0.0%
27	Taylor RaddyshFNYR	NYR	−0.010	805	1.04	1.86	−0.14	46.9%	50.0%	0.1%
28	Alexander WennbergFSJS	SJS	−0.011	1,636	1.28	1.98	−0.29	47.0%	50.1%	25%▼1.6
29	Mark KastelicFBOS	BOS	−0.011	1,035	1.74	2.44	−0.19	49.1%	49.9%	13%▲12
30	Josh NorrisFBUF	BUF	−0.011	697	0.78	1.72	−0.13	51.4%	49.9%	39%▲32
31	Joseph VelenoFMTL	MTL	−0.011	738	0.65	1.55	−0.14	49.9%	50.1%	3.3%▲3.1
32	Auston MatthewsFTOR	TOR	−0.011	1,248	1.44	2.45	−0.24	45.7%	50.6%	99%
33	Zach BensonFBUF	BUF	−0.012	1,033	1.45	2.67	−0.20	50.5%	49.8%	56%▲44
34	Adam GaudetteFSJS	SJS	−0.012	757	1.03	2.06	−0.15	45.5%	49.6%	0.1%
35	Noel AcciariFPIT	PIT	−0.012	918	0.78	1.44	−0.18	51.1%	50.3%	3.3%▲3.1
36	Alex TuchFBUF	BUF	−0.012	1,501	1.56	2.40	−0.30	51.0%	50.3%	94%▼5
37	Ville KoivunenFPIT	PIT	−0.012	497	1.33	2.17	−0.10	51.2%	50.2%	17%▲17
38	Mattias JanmarkFEDM	EDM	−0.012	510	0.59	1.65	−0.10	48.8%	49.1%	0.0%
39	Alex IafalloFWPG	WPG	−0.012	1,232	0.54	1.36	−0.25	48.7%	49.9%	4.3%▲3
40	Tye KartyeFSEA/NYR	SEA/NYR	−0.013	766	1.33	2.35	−0.16	47.3%	49.6%	7.2%▲7.1
41	Jack DruryFCOL	COL	−0.013	1,187	1.16	2.22	−0.25	56.5%	49.5%	5.6%▲5.4
42	Colin BlackwellFDAL	DAL	−0.013	832	1.23	2.23	−0.18	50.5%	49.7%	0.1%
43	Jeff MalottFLAK	LAK	−0.013	512	0.94	2.11	−0.11	50.8%	49.7%	0.0%
44	Uvis BalinskisDFLA	FLA	−0.013	884	1.56	2.24	−0.19	51.1%	50.0%	4.0%▲3.9
45	Jaden SchwartzFSEA	SEA	−0.013	807	1.86	3.49	−0.18	45.1%	50.0%	11%▲10
46	Matt SavoieFEDM	EDM	−0.013	1,212	1.58	2.57	−0.27	51.4%	49.9%	37%▲32
47	Michael AmadioFOTT	OTT	−0.013	1,306	1.52	2.76	−0.29	55.0%	50.2%	3.3%▲2.6
48	Troy TerryFANA	ANA	−0.014	1,119	1.34	2.63	−0.26	51.4%	49.7%	47%▲34
49	Collin GrafFSJS	SJS	−0.014	1,332	1.53	2.48	−0.30	46.7%	50.0%	28%▲24
50	Oskar SundqvistFSTL	STL	−0.015	674	1.07	2.05	−0.16	48.8%	50.1%	0.0%
51	Dakota JoshuaFTOR	TOR	−0.015	674	0.80	1.78	−0.16	45.6%	50.0%	4.8%▲4.6
52	Michael McCarronFNSH/MIN	NSH/MIN	−0.015	1,108	1.30	2.06	−0.27	47.5%	50.1%	7.3%▲6.9
53	Tage ThompsonFBUF	BUF	−0.015	1,559	1.08	2.66	−0.38	51.1%	50.2%	100%▲1.1
54	Eetu LuostarinenFFLA	FLA	−0.015	1,210	0.99	2.23	−0.30	50.7%	50.6%	11%▲9.1
55	Joel Eriksson EkFMIN	MIN	−0.015	1,336	0.85	1.84	−0.34	51.4%	50.6%	82%▲11
56	Zach HymanFEDM	EDM	−0.015	1,159	0.41	1.40	−0.30	53.7%	49.8%	98%▼1.4
57	Alex TurcotteFLAK	LAK	−0.015	671	1.25	2.41	−0.17	51.3%	49.6%	8.8%▲8.8
58	Luke EvangelistaFNSH	NSH	−0.015	1,346	1.11	2.58	−0.35	48.1%	50.2%	70%▲23
59	Evan RodriguesFFLA	FLA	−0.016	1,173	1.59	2.41	−0.31	51.1%	50.2%	8.3%▲6.5
60	Claude GirouxFOTT	OTT	−0.016	1,337	1.08	2.33	−0.35	54.9%	50.0%	30%▲20
61	Jordan EberleFSEA	SEA	−0.016	1,478	0.97	2.27	−0.39	46.7%	50.1%	30%▲2.6
62	Alexis LafrenièreFNYR	NYR	−0.016	1,443	1.04	2.12	−0.39	47.8%	50.4%	82%▲13
63	Carl GrundstromFPHI	PHI	−0.016	557	0.75	2.26	−0.15	51.1%	49.9%	0.1%
64	David KampfFVAN/WSH	VAN/WSH	−0.016	589	0.61	1.83	−0.16	44.5%	50.1%	0.0%
65	Michael RasmussenFDET	DET	−0.017	810	0.74	2.08	−0.22	46.7%	49.9%	0.1%
66	Anthony BeauvillierFWSH	WSH	−0.017	1,295	0.97	2.04	−0.36	49.8%	50.0%	4.0%▲3.8
67	Danton HeinenFCBJ/PIT	CBJ/PIT	−0.017	522	1.04	2.42	−0.15	50.3%	49.9%	0.0%
68	Jordan KyrouFSTL	STL	−0.017	1,133	1.17	2.81	−0.32	50.9%	49.9%	79%▲2.9
69	Morgan BarronFWPG	WPG	−0.017	832	1.23	2.38	−0.24	47.5%	50.1%	4.8%▲4.7
70	Cole CaufieldFMTL	MTL	−0.017	1,473	0.90	2.28	−0.42	51.0%	50.5%	100%▲0.9
71	Marcus JohanssonFMIN	MIN	−0.017	1,157	1.14	2.75	−0.33	50.8%	49.9%	0.7%
72	Joel ArmiaFLAK	LAK	−0.017	942	1.91	3.25	−0.27	51.2%	49.6%	3.3%▲3.1
73	Connor McMichaelFWSH	WSH	−0.017	1,319	1.32	2.55	−0.38	50.3%	50.1%	34%▲27
74	Ryan WintertonFSEA	SEA	−0.017	815	1.55	2.73	−0.24	46.3%	49.9%	4.0%▲3.9
75	Tommy NovakFPIT	PIT	−0.017	1,171	1.43	2.77	−0.34	50.7%	50.0%	11%▲9.1
76	Ryan Nugent-HopkinsFEDM	EDM	−0.018	1,372	0.61	1.84	−0.41	52.6%	49.6%	77%▲15
77	David PerronFOTT/DET	OTT/DET	−0.018	882	0.95	2.38	−0.27	53.1%	49.8%	0.2%
78	Drake BathersonFOTT	OTT	−0.018	1,371	0.96	2.76	−0.42	55.5%	49.8%	97%▲7.4
79	Simon HolmstromFNYI	NYI	−0.018	1,322	1.41	2.54	−0.40	47.8%	50.2%	16%▲14
80	Bobby McMannFTOR/SEA	TOR/SEA	−0.018	1,243	0.87	2.12	−0.38	46.3%	50.5%	45%▲2
81	Trevor MooreFLAK	LAK	−0.019	1,154	1.30	2.70	−0.36	51.2%	49.8%	9.1%
82	Lucas RaymondFDET	DET	−0.019	1,504	1.24	3.03	−0.47	48.3%	50.4%	96%▲10
83	Gavin BrindleyFCOL	COL	−0.019	535	0.56	2.24	−0.17	56.3%	49.7%	14%▲14
84	Carter VerhaegheFFLA	FLA	−0.019	1,356	1.28	2.92	−0.42	51.1%	50.4%	73%▲1
85	Colton SissonsFVGK	VGK	−0.019	825	0.87	2.18	−0.26	52.7%	49.0%	3.3%▲3.1
86	Anthony CirelliFTBL	TBL	−0.019	1,229	1.22	2.44	−0.39	55.3%	50.1%	51%▲19
87	Zack OstapchukFSJS	SJS	−0.019	596	0.81	2.01	−0.19	45.0%	49.7%	3.2%▲3.1
88	Cole SillingerFCBJ	CBJ	−0.019	1,233	1.51	2.82	−0.40	51.4%	50.1%	11%▲9.9
89	Artturi LehkonenFCOL	COL	−0.020	1,294	0.60	2.09	−0.42	57.7%	49.7%	54%▲37
90	Brady TkachukFOTT	OTT	−0.020	1,018	0.83	2.36	−0.33	55.5%	50.1%	100%▲2.2
91	Adam LowryFWPG	WPG	−0.020	1,048	1.03	2.06	−0.34	49.0%	50.4%	5.7%▲5.5
92	Tomas HertlFVGK	VGK	−0.020	1,397	0.73	2.23	−0.46	54.2%	49.4%	83%▲2.9
93	Morgan FrostFCGY	CGY	−0.020	1,271	0.94	2.27	−0.42	46.9%	50.0%	23%▲17
94	Pius SuterFSTL	STL	−0.020	1,017	0.77	2.01	−0.34	50.1%	49.3%	4.1%▲3.3
95	Quinton ByfieldFLAK	LAK	−0.020	1,582	1.40	2.81	−0.53	51.4%	49.9%	86%▲18
96	Chandler StephensonFSEA	SEA	−0.020	1,551	1.24	2.59	−0.52	45.5%	50.3%	17%▲13
97	Brett PesceDNJD	NJD	−0.020	751	1.28	1.84	−0.25	49.4%	50.2%	0.3%
98	Oliver BjorkstrandFTBL	TBL	−0.020	1,091	0.77	2.09	−0.37	53.0%	49.6%	20%
99	Dylan CozensFOTT	OTT	−0.020	1,397	0.82	2.28	−0.48	55.3%	49.8%	90%▲3.6
100	Wyatt JohnstonFDAL	DAL	−0.020	1,650	0.84	2.25	−0.56	52.7%	50.1%	100%▲0.8

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.

How the Turnover Ledger works →

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Turnover Ledger leaderboard

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