CJ Van Eyk

P Buffalo Bisons

Age 28 RHP 6'1" / 198 lbs AAA

Overview

AAARP40-MANROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	25	AATOR	30	16	95	5.68	4.03	18.1%	8.8%	—	K 14.7% · BB 9.7% · FIP 4.43
2025	26	MIX2 levels	27	24	126	4.79	4.65	19.7%	9.2%	—	K 16.6% · BB 8.7% · FIP 5.40
2026	27	MIX2 levels	29	19	124	4.15	3.99	15.2%	7.2%	2.1	K 13.2% · BB 6.6% · FIP 4.18
2027PROJ	28	MLBTOR	10	10	58	4.92	5.14	13.0%	8.3%	0.2
2028PROJ77% MLB	29	MLBTOR	8	8	46	5.06	5.21	13.3%	8.5%	0.1
2029PROJ83% MLB	30	MLBTOR	7	7	43	5.04	5.08	15.2%	7.9%	0.2

Last 3 seasons WAR 2.1 · Next 3 projected WAR 0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo36

K%10

xwOBA vs10

Career WAR0.0 WAR median (P10 -0.3 / P90 0.1, comp-based) · star 0% · didn't stick 97%

CompsClay Condrey (age 27) · Travis Smith (age 29) · Juan Omar Espinoza (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 131123vR 115

ERA4.92

FIP5.14

K%13.0%

BB%8.3%

K-BB%4.7%

Proj IP84

Value2027 · WAR

Runs saved vs league avg · 84 IP

Grades · Statcast · Contract

Scouting Grades

STUF4040

CTRL5050

CMD4040

K†3030

Statcast Percentiles

FB Velo

p3693.5

Whiff%

p1015.9%

p105.5%

xwOBA vs

p100.395

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to the standard WAR scale.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far)
2021	22	A+ MLE	Vancouver Canadians	19	19	80	353	100	39	9	100%	4.2	21.8%	12.7%	9.1%	3.5%	5.83	4.79	—
2021	22	A+ RAW	Vancouver Canadians	19	19	80	353	100	39	9	100%	4.2	28.3%	11.0%	17.3%	2.5%	5.83	3.52	—
2023	24	MIX MLE	3 levels	12	11	34	143	33	12	5	92%	2.9	16.5%	10.3%	6.2%	4.1%	3.67	5.26	—
2023	24	MIX RAW	3 levels	12	11	34	143	33	12	5	92%	2.9	23.1%	8.4%	14.7%	3.5%	3.67	4.12	—
2024	25	AA MLE	New Hampshire Fisher Cats	30	16	95	430	78	38	10	53%	3.2	14.7%	9.7%	5.0%	2.4%	5.68	4.43	—
2024	25	AA MLE	New Hampshire Fisher Cats	30	16	95	430	78	38	10	53%	3.2	14.7%	9.7%	5.0%	2.4%	5.68	4.43	—
2024	25	AA RAW	New Hampshire Fisher Cats	30	16	95	430	78	38	10	53%	3.2	18.1%	8.8%	9.3%	2.3%	5.68	4.03	—
2025	26	MIX MLE	2 levels	27	24	126	554	109	51	20	89%	4.7	16.6%	8.7%	7.9%	4.7%	4.79	5.40	—
2025	26	MIX MLE	2 levels	27	24	126	554	109	51	20	89%	4.7	16.6%	8.7%	7.9%	4.7%	4.79	5.40	—
2025	26	MIX RAW	2 levels	27	24	126	554	109	51	20	89%	4.7	19.7%	9.2%	10.5%	3.6%	4.79	4.65	—
2026	27	MIX MLE	2 levels	29	19	124	525	80	38	12	66%	4.3	13.2%	6.6%	6.6%	2.5%	4.15	4.18	+1.8
2026	27	MIX MLE	2 levels	29	19	124	525	80	38	12	66%	4.3	13.2%	6.6%	6.6%	2.5%	4.15	4.18	+1.8
2026	27	MIX RAW	2 levels	29	19	124	525	80	38	12	66%	4.3	15.2%	7.2%	8.0%	2.3%	4.15	3.99	+2.1
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			5	1	12	55	3	2	2	20%	2.3	5.5%	3.6%	1.8%	3.6%	5.40	5.33	-0.1
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	TOR	10	10	58	245	32	20	8	100%	5.8	13.0%	8.3%	4.7%	3.1%	4.92	5.14	+0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	TOR	10	10	60	253	34	21	8	100%	6.0	13.3%	8.5%	4.8%	3.3%	5.06	5.21	+0.1
2029	30	MLB MLE	TOR	9	9	52	217	33	17	7	100%	5.7	15.2%	7.9%	7.4%	3.4%	5.04	5.08	+0.2
2028	29	MLB CTX	TOR	8	8	46	194	26	16	6	100%	5.8	13.3%	8.5%	4.8%	3.3%	5.06	5.21	+0.1
2029	30	MLB CTX	TOR	7	7	43	182	28	14	6	100%	6.1	15.2%	7.9%	7.4%	3.4%	5.04	5.08	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		20	16	100	429	56	33	15	80%	5.0	13.1%	7.6%	5.5%	3.4%	5.09	4.81	+0.7
/ 200 IP	—	RAW		39	31	200	856	112	66	30	80%	5.1	13.1%	7.6%	5.5%	3.4%	5.09	4.81	+1.4
Career	—	MLE		117	89	459	2005	325	184	68	76%	3.9	16.2%	9.2%	7.0%	3.4%	4.90	4.75	+0.3
/ 200 IP	—	MLE		51	39	200	873	141	80	30	76%	3.9	16.2%	9.2%	7.0%	3.4%	4.90	4.75	+0.5

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AAABuffalo Bisons · 112 IPFIP 3.85 → 4.07 (+0.21)K% 16.4% → 14.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.38%	—	×0.860	14.09%
BB% (unintentional) /BF	7.66%	—	×0.900	6.89%
HR / BF /BF	2.13%	÷1.000	×1.100	2.34%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 3.85 → 4.07, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 AAABuffalo Bisons · 89 IPFIP 4.87 → 5.57 (+0.70)K% 18.1% → 15.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.11%	—	×0.860	15.58%
BB% (unintentional) /BF	9.93%	—	×0.900	8.93%
HR / BF /BF	3.72%	÷0.847	×1.100	4.84%

Result: FIP 4.87 → 5.57, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 AANew Hampshire Fisher Cats · 37 IPFIP 3.83 → 4.95 (+1.12)K% 23.8% → 19.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.84%	—	×0.810	19.31%
BB% (unintentional) /BF	7.28%	—	×1.100	8.01%
HR / BF /BF	3.31%	÷0.885	×1.200	4.49%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 77).

Result: FIP 3.83 → 4.95, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 AANew Hampshire Fisher Cats · 95 IPFIP 3.96 → 4.43 (+0.46)K% 18.1% → 14.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.14%	—	×0.810	14.69%
BB% (unintentional) /BF	8.84%	—	×1.100	9.72%
HR / BF /BF	2.33%	÷1.145	×1.200	2.44%

Result: FIP 3.96 → 4.43, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 ADunedin Blue Jays · 19 IPFIP 3.85 → 4.74 (+0.89)K% 30.1% → 22.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.14%	—	×0.740	22.30%
BB% (unintentional) /BF	8.22%	—	×1.180	9.70%
HR / BF /BF	4.11%	÷1.279	×1.300	4.18%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 156).

Result: FIP 3.85 → 4.74, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 AANew Hampshire Fisher Cats · 13 IPFIP 5.21 → 5.89 (+0.68)K% 11.7% → 9.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	11.67%	—	×0.810	9.45%
BB% (unintentional) /BF	10.00%	—	×1.100	11.00%
HR / BF /BF	3.33%	÷1.000	×1.200	4.00%

Result: FIP 5.21 → 5.89, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 A+Vancouver Canadians · 80 IPFIP 3.51 → 4.79 (+1.29)K% 28.3% → 21.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.33%	—	×0.770	21.81%
BB% (unintentional) /BF	11.05%	—	×1.150	12.71%
HR / BF /BF	2.55%	÷0.909	×1.250	3.51%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 82).

Result: FIP 3.51 → 4.79, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
CJ Van Eyk (OGILVIE)	—	—	5.14	13.0%	8.3%	3.1%	—	5.15	14.2%	6.0%	111	+0.01	—	—	—
Clay Condrey R 2003 · 5.41 FIP	27	SP-	5.41	14.9%	10.1%	4.2%	.303	4.07	13.1%	7.4%	29	-1.34	3.18	250	83
Travis Smith R 2002 · 5.28 FIP	29	SP	5.28	13.1%	8.2%	4.1%	.324	5.71	15.0%	9.0%	51	+0.43	3.67	105	81
Juan Omar Espinoza R 2015 · 4.81 FIP	31	SP-	4.81	8.9%	6.6%	3.0%	.346	4.84	8.4%	-0.8%	52	+0.03	4.81	104	78
Zach Stewart R 2015 · 4.43 FIP	28	SP-	4.43	14.4%	8.3%	2.7%	.322	5.17	11.7%	2.1%	51	+0.74	4.27	194	77
Miguel Ruiz R 2015 · 5.77 FIP	29	SP-	5.77	8.8%	8.0%	4.4%	.346	5.60	10.6%	-0.4%	53	-0.17	5.60	117	76
Aldo Montes R 2017 · 4.96 FIP	27	SP-	4.96	12.4%	8.5%	3.3%	.322	4.69	18.2%	7.6%	75	-0.27	4.69	210	74
Jon Leicester R 2007 · 4.44 FIP	28	SP-	4.44	11.0%	9.0%	2.1%	.292	—	—	—	—	—	3.76	113	73
Brady Rodgers R 2019 · 5.44 FIP	28	SP-	5.44	14.7%	9.0%	4.4%	.270	—	—	—	—	—	1.98	354	72
Jake Walkinshaw R 2024 · 4.03 FIP	28	SP	4.03	16.1%	8.5%	2.2%	.244	3.83	15.7%	5.7%	92	-0.20	2.84	310	72
Noah Song R 2023 · 6.06 FIP	26	SP	6.06	12.0%	13.2%	4.2%	.239	3.80	19.8%	8.3%	116	-2.26	3.68	138	72
Vanny Valenzuela R 2016 · 4.54 FIP	28	SP	4.54	16.3%	11.3%	2.5%	.380	6.25	10.9%	1.2%	25	+1.71	3.26	118	71
Alejandro Martinez R 2017 · 4.24 FIP	28	SP-	4.24	9.2%	5.3%	2.3%	.291	5.97	10.5%	1.3%	32	+1.73	4.24	166	69
Eddie Bonine R 2009 · 5.60 FIP	28	SW	5.60	13.1%	7.6%	4.8%	.306	4.54	8.6%	2.0%	68	-1.06	4.40	129	69
Kohei Arihara R 2021 · 6.04 FIP	28	SP	6.04	13.5%	7.3%	5.8%	.262	4.58	16.4%	9.2%	94	-1.46	4.58	135	69
David Griffin R 2023 · 5.83 FIP	27	SP-	5.83	14.2%	9.2%	5.0%	.306	—	—	—	—	—	4.43	239	69
Brian Powell R 2002 · 5.53 FIP	28	SP-	5.53	11.8%	8.3%	4.3%	.276	4.45	14.5%	7.3%	39	-1.08	4.45	212	68
Luis Niebla R 2017 · 5.12 FIP	26	SP-	5.12	11.6%	13.2%	2.4%	.336	—	—	—	—	—	3.37	156	68
Rolando Valdez R 2015 · 4.07 FIP	29	SP	4.07	13.3%	5.9%	2.4%	.301	3.78	13.2%	7.9%	176	-0.29	3.06	258	68
Greg Reynolds R 2013 · 4.66 FIP	28	SP	4.66	9.8%	3.8%	3.5%	.300	5.97	3.8%	-3.5%	25	+1.31	4.66	148	68
Dustin Beggs R 2021 · 5.09 FIP	28	SP-	5.09	11.3%	7.7%	3.6%	.261	—	—	—	—	—	3.40	407	67

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.0	69	13.2%	7.9%	1.26	5.02
J. C. Ramirez ('13-'19, -0 WAR*)	1.4	72	15.1%*	8.7%*	1.30*	4.83*
Jose Cabrera ('02)	1.4	68	16.2%	7.9%	1.39	4.95
Bryan Hickerson ('95)	2.0	81	15.9%	8.1%	1.16	4.72
Paul Reuschel ('75-'79, 1 WAR*)	2.0	79	16.8%*	7.6%*	1.29*	4.76*
Chuck Hartenstein ('66-'77, -1 WAR*)	1.5	59	13.7%*	7.2%*	1.50*	5.28*
Mike Jeffcoat ('83-'94, 1 WAR*)	2.5	83	15.2%*	6.7%*	1.16*	4.65*