Wandisson Charles

P Erie SeaWolves

Age 30 RHP 6'4" / 250 lbs AA peak 0.1 · 2027

Overview

AAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	26	MIX2 levels	41	45	4.57	3.52	33.2%	16.6%	—	K 27.9% · BB 15.4% · FIP 3.86
2024	27	MIX2 levels	31	30	8.60	5.54	20.6%	21.3%	—	K 18.1% · BB 19.7% · FIP 5.48
2026	29	AADET	46	64	4.10	2.57	31.2%	8.6%	—	K 25.3% · BB 9.4% · FIP 3.38
2027PROJ	30	MLBDET	1	1	4.23	4.23	24.3%	10.0%	0.0
2028PROJ31% MLB	31	MLBDET	10	10	4.36	4.44	23.8%	10.3%	0.0

Next 2 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 -0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsJoe Nelson (age 31) · Neil Wagner (age 29) · Jim Miller (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 114105vR 97

ERA4.23

FIP4.23

K%24.3%

BB%10.0%

K-BB%14.3%

Proj IP40

Value2027 · WAR

Runs saved vs league avg · 40 IP

Grades · Contract

Scouting Grades

K†6060

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)
2015	18	ROK MLE	DSL Athletics	12	12	39	181	37	38	0	100%	3.3	13.9%	26.2%	-12.3%	0.0%	4.12	5.25	—
2015	18	ROK RAW	DSL Athletics	12	12	39	181	37	38	0	100%	3.3	20.4%	21.0%	-0.6%	0.0%	4.12	4.12	—
2016	19	ROK MLE	AZL Athletics	14	0	37	175	48	33	0	0%	2.6	18.7%	23.6%	-4.9%	0.0%	7.12	4.51	—
2016	19	ROK RAW	AZL Athletics	14	0	37	175	48	33	0	0%	2.6	27.4%	18.9%	8.6%	0.0%	7.12	3.18	—
2018	21	A MLE	Beloit Snappers	11	0	11	56	19	17	1	0%	1.0	25.1%	35.8%	-10.7%	2.6%	4.09	6.94	—
2018	21	A RAW	Beloit Snappers	11	0	11	56	19	17	1	0%	1.0	33.9%	30.4%	3.6%	1.8%	4.09	5.46	—
2019	22	MIX MLE	3 levels	40	0	62	265	93	43	3	0%	1.6	26.9%	18.8%	8.1%	1.4%	2.89	3.97	—
2019	22	MIX RAW	3 levels	40	0	62	265	93	43	3	0%	1.6	35.1%	16.2%	18.9%	1.1%	2.89	2.81	—
2022	25	AA MLE	Midland RockHounds	30	0	37	202	34	37	6	0%	1.2	13.6%	20.1%	-6.5%	4.5%	11.43	6.97	—
2022	25	AA RAW	Midland RockHounds	30	0	37	202	34	37	6	0%	1.2	16.8%	18.3%	-1.5%	3.0%	11.43	6.37	—
2023	26	MIX MLE	2 levels	41	0	45	199	66	33	4	0%	1.1	27.9%	15.4%	12.4%	2.1%	4.57	3.86	—
2023	26	MIX RAW	2 levels	41	0	45	199	66	33	4	0%	1.1	33.2%	16.6%	16.6%	2.0%	4.57	3.52	—
2024	27	MIX MLE	2 levels	31	0	30	155	32	33	3	0%	1.0	18.1%	19.7%	-1.5%	2.6%	8.60	5.48	—
2024	27	MIX MLE	2 levels	31	0	30	155	32	33	3	0%	1.0	18.1%	19.7%	-1.5%	2.6%	8.60	5.48	—
2024	27	MIX RAW	2 levels	31	0	30	155	32	33	3	0%	1.0	20.6%	21.3%	-0.6%	1.9%	8.60	5.54	—
2026	29	AA MLE	Erie SeaWolves	46	0	64	269	84	23	5	0%	1.4	25.3%	9.4%	15.9%	2.2%	4.10	3.38	—
2026	29	AA MLE	Erie SeaWolves	46	0	64	269	84	23	5	0%	1.4	25.3%	9.4%	15.9%	2.2%	4.10	3.38	—
2026	29	AA RAW	Erie SeaWolves	46	0	64	269	84	23	5	0%	1.4	31.2%	8.6%	22.7%	1.9%	4.10	2.57	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	30	MLB	DET	1	0	1	4	1	0	0	0%	1.0	24.3%	10.0%	14.3%	2.8%	4.23	4.23	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	31	MLB MLE	DET	31	0	33	138	33	14	4	0%	1.1	23.8%	10.3%	13.6%	3.0%	4.36	4.44	+0.0
2028	31	MLB CTX	DET	10	0	10	42	10	4	1	0%	1.0	23.8%	10.3%	13.6%	3.0%	4.36	4.44	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		10	0	10	43	10	4	1	0%	1.0	23.8%	10.3%	13.6%	3.0%	4.36	4.06	+0.1
/ 200 IP	—	RAW		190	0	200	844	196	78	20	0%	1.1	23.8%	10.3%	13.6%	3.0%	4.36	4.06	+1.2
Career	—	MLE		225	12	326	1502	322	286	28	5%	1.4	21.5%	19.0%	2.4%	1.9%	5.53	4.74	+0.0
/ 200 IP	—	MLE		138	7	200	922	198	176	17	5%	1.4	21.5%	19.0%	2.4%	1.9%	5.53	4.74	+0.3

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 AAErie SeaWolves · 64 IPFIP 2.57 → 3.38 (+0.81)K% 31.2% → 25.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.23%	—	×0.810	25.29%
BB% (unintentional) /BF	8.55%	—	×1.100	9.41%
HR / BF /BF	1.86%	÷1.000	×1.200	2.23%

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 100).

Result: FIP 2.57 → 3.38, 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 AAANorfolk Tides · 26 IPFIP 5.38 → 5.48 (+0.11)K% 21.1% → 18.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.09%	—	×0.860	18.14%
BB% (unintentional) /BF	21.88%	—	×0.900	19.69%
HR / BF /BF	2.34%	÷0.996	×1.100	2.59%

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 99).

Result: FIP 5.38 → 5.48, 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 AABowie Baysox · 5 IPFIP 3.88 → 4.41 (+0.53)K% 18.5% → 15.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.52%	—	×0.810	15.00%
BB% (unintentional) /BF	18.52%	—	×1.100	20.37%
HR / BF /BF	0.00%	÷1.249	×1.200	0.00%

Result: FIP 3.88 → 4.41, 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 AAANorfolk Tides · 30 IPFIP 4.02 → 4.20 (+0.17)K% 29.2% → 25.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.20%	—	×0.860	25.11%
BB% (unintentional) /BF	20.44%	—	×0.900	18.39%
HR / BF /BF	1.46%	÷0.995	×1.100	1.61%

Result: FIP 4.02 → 4.20, 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 AABowie Baysox · 15 IPFIP 2.35 → 3.11 (+0.76)K% 41.9% → 34.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	41.94%	—	×0.810	33.97%
BB% (unintentional) /BF	8.06%	—	×1.100	8.87%
HR / BF /BF	3.23%	÷1.208	×1.200	3.20%

Result: FIP 2.35 → 3.11, 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).

2022 AAMidland RockHounds · 37 IPFIP 5.63 → 6.97 (+1.34)K% 16.8% → 13.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.83%	—	×0.810	13.63%
BB% (unintentional) /BF	18.32%	—	×1.100	20.15%
HR / BF /BF	2.97%	÷0.793	×1.200	4.50%

Result: FIP 5.63 → 6.97, 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).

2019 A+Stockton Ports · 26 IPFIP 2.67 → 3.74 (+1.07)K% 35.8% → 27.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.78%	—	×0.770	27.55%
BB% (unintentional) /BF	16.51%	—	×1.150	18.99%
HR / BF /BF	0.92%	÷1.114	×1.250	1.03%

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 123).

Result: FIP 2.67 → 3.74, 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).

2019 ABeloit Snappers · 22 IPFIP 3.06 → 4.49 (+1.44)K% 37.4% → 27.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	37.37%	—	×0.740	27.66%
BB% (unintentional) /BF	20.20%	—	×1.180	23.84%
HR / BF /BF	1.01%	÷1.014	×1.300	1.29%

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 103).

Result: FIP 3.06 → 4.49, 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
Wandisson Charles (OGILVIE)	—	—	4.23	24.3%	10.0%	2.8%	—	4.44	23.8%	13.6%	33	+0.21	—	—	—
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	90
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	85
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	84
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	82
Erik Davis R 2017 · 4.25 FIP	30	SU	4.25	22.2%	11.1%	3.0%	.349	3.52	17.4%	8.5%	65	-0.73	3.05	227	82
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	78
Hirokazu Sawamura R 2021 · 4.48 FIP	33	SU	4.48	26.2%	11.2%	4.0%	.263	4.02	18.1%	6.8%	51	-0.46	4.02	104	78
Kiko Calero R 2005 · 3.51 FIP	30	SU	3.51	22.7%	7.0%	2.6%	.252	3.23	23.3%	13.9%	99	-0.28	2.27	298	78
Fernando Rodriguez Jr. R 2015 · 3.34 FIP	31	SU	3.34	26.5%	9.6%	2.3%	.241	3.89	23.3%	13.2%	105	+0.55	3.34	335	78
Brian Schlitter R 2016 · 3.28 FIP	30	SU	3.28	20.6%	10.8%	1.0%	.333	3.81	14.4%	6.6%	110	+0.53	3.27	300	78
Tony Barnette R 2016 · 3.05 FIP	32	SU	3.05	19.9%	6.1%	1.6%	.281	3.26	23.4%	17.0%	84	+0.21	2.61	144	77
Blake Smith R 2016 · 3.59 FIP	28	SU	3.59	22.4%	8.6%	2.4%	.307	—	—	—	—	—	3.17	124	77
Andrew Robinson R 2017 · 4.32 FIP	29	SU	4.32	23.4%	8.8%	3.8%	.245	—	—	—	—	—	3.19	160	77
Kazuhiro Sasaki R 2000 · 3.93 FIP	32	SU	3.93	29.4%	9.8%	3.8%	.212	2.88	24.9%	19.3%	161	-1.05	2.76	223	77
Mark Serrano R 2016 · 3.16 FIP	30	SU	3.16	17.7%	6.5%	1.3%	.290	4.36	21.1%	14.0%	88	+1.20	3.16	120	76
Chris Smith R 2018 · 3.72 FIP	29	SU	3.72	24.1%	9.3%	2.7%	.319	—	—	—	—	—	2.17	199	76
Leonel Campos R 2017 · 3.70 FIP	30	SU	3.70	25.7%	11.8%	2.3%	.241	—	—	—	—	—	2.62	168	76
Scott Atchison R 2007 · 4.55 FIP	31	SU	4.55	19.1%	7.6%	3.8%	.297	4.59	16.2%	9.5%	60	+0.04	2.52	340	76
Grant Sides R 2019 · 3.31 FIP	30	SU	3.31	21.7%	9.8%	1.5%	.267	—	—	—	—	—	3.31	159	75
Jose De La Torre R 2016 · 3.12 FIP	30	SU	3.12	22.0%	8.0%	1.6%	.248	2.64	20.5%	14.7%	19	-0.48	2.64	141	75

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	0.4	36	24.1%	10.2%	1.12	4.29
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
José Cisnero ('24)	1.4	46	24.0%	11.3%	1.01	4.16
Manny Acosta ('12)	1.2	41	20.5%	10.9%	1.09	3.99
Dave Baldwin ('66-'73, 2 WAR*)	1.1	56	22.2%*	9.2%*	0.96*	3.97*
Ed Vosberg ('86-'02, 1 WAR*)	1.2	47	21.0%*	9.6%*	0.86*	4.06*
Dave Geisel ('78-'85, 2 WAR*)	1.0	42	23.5%*	10.6%*	0.84*	4.12*