Blair Calvo

P Erie SeaWolves

Age 31 RHP 6'3" / 195 lbs AA

Overview

AARPROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	27	MIX2 levels	54	0	58	7.02	4.61	24.3%	15.7%	-0.0	K 21.1% · BB 14.3% · FIP 4.82
2024	28	AADET	3	0	2	9.00	3.10	21.4%	14.3%	—	K 21.4% · BB 14.3% · FIP 3.10
2025	29	MIX5 levels	30	2	40	5.40	4.00	27.1%	10.2%	—	K 20.7% · BB 10.7% · FIP 5.75
2027PROJ	31	MLBDET	10	0	10	4.57	4.57	22.3%	9.9%	-0.0
2028PROJ31% MLB	32	MLBDET	6	0	6	4.68	4.77	21.9%	10.2%	-0.0

Last 3 seasons WAR -0.0 · Next 2 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsJoe Nelson (age 31) · Hirokazu Sawamura (age 33) · Jim Miller (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 120112vR 104

ERA4.57

FIP4.57

K%22.3%

BB%9.9%

K-BB%12.4%

Proj IP10

Value2027 · WAR

Runs saved vs league avg · 10 IP

Grades · Arsenal · Contract

Scouting Grades

K†5555

FB+1.0

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 industry-standard fWAR.

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	25	A MLE	Fresno Grizzlies	33	0	71	298	75	23	6	0%	2.2	18.6%	9.1%	9.5%	2.1%	4.54	3.86	—
2021	25	A RAW	Fresno Grizzlies	33	0	71	298	75	23	6	0%	2.2	25.2%	7.7%	17.4%	2.0%	4.54	3.06	—
2022	26	MIX MLE	2 levels	31	0	37	155	49	11	2	0%	1.2	26.1%	8.3%	17.8%	1.7%	2.92	2.86	—
2022	26	MIX RAW	2 levels	31	0	37	155	49	11	2	0%	1.2	31.6%	7.1%	24.5%	1.3%	2.92	2.05	—
2023	27	MIX MLE	2 levels	54	0	58	280	68	44	7	0%	1.1	21.1%	14.3%	6.8%	3.1%	7.02	4.82	-0.2
2023	27	MIX RAW	2 levels	54	0	58	280	68	44	7	0%	1.1	24.3%	15.7%	8.6%	2.5%	7.02	4.61	-0.0
2024	28	AA MLE	Erie SeaWolves	3	0	2	14	3	2	0	0%	0.7	21.4%	14.3%	7.1%	0.0%	9.00	3.10	—
2024	28	AA MLE	Erie SeaWolves	3	0	2	14	3	2	0	0%	0.7	21.4%	14.3%	7.1%	0.0%	9.00	3.10	—
2024	28	AA RAW	Erie SeaWolves	3	0	2	14	3	2	0	0%	0.7	21.4%	14.3%	7.1%	0.0%	9.00	3.10	—
2025	29	MIX MLE	5 levels	30	2	40	177	48	18	6	7%	1.3	20.7%	10.7%	10.0%	5.5%	5.40	5.75	—
2025	29	MIX MLE	5 levels	30	2	40	177	48	18	6	7%	1.3	20.7%	10.7%	10.0%	5.5%	5.40	5.75	—
2025	29	MIX RAW	5 levels	30	2	40	177	48	18	6	7%	1.3	27.1%	10.2%	16.9%	3.4%	5.40	4.00	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			1	0	1	3	0	0	0	0%	1.0	0.0%	0.0%	0.0%	0.0%	0.00	3.10	+0.0
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	31	MLB	DET	10	0	10	42	9	4	1	0%	1.0	22.3%	9.9%	12.4%	3.1%	4.57	4.57	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	32	MLB MLE	DET	19	0	20	84	19	9	3	0%	1.1	21.9%	10.2%	11.7%	3.4%	4.68	4.77	-0.1
2028	32	MLB CTX	DET	6	0	6	25	6	3	1	0%	1.0	21.9%	10.2%	11.7%	3.4%	4.68	4.77	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	0	7	29	6	3	1	0%	1.0	19.7%	9.2%	10.5%	3.0%	4.04	4.26	+0.0
/ 200 IP	—	RAW		192	0	200	811	165	83	28	0%	1.0	19.7%	9.2%	10.5%	3.0%	4.04	4.26	+0.7
Career	—	MLE		151	2	208	924	195	101	27	1%	1.4	21.1%	10.9%	10.1%	3.0%	5.15	4.33	-0.0
/ 200 IP	—	MLE		145	2	200	888	187	97	26	1%	1.4	21.1%	10.9%	10.1%	3.0%	5.15	4.33	-0.3

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
Blair Calvo (OGILVIE)	—	—	4.57	22.3%	9.9%	3.1%	—	4.77	21.9%	11.7%	20	+0.20	—	—	—
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	80
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
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	78
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	77
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	74
Chris Hatcher R 2016 · 4.61 FIP	31	SU	4.61	23.8%	9.4%	4.2%	.283	4.69	22.0%	13.8%	96	+0.08	2.51	246	74
Neil Wagner R 2016 · 4.05 FIP	32	SU	4.05	19.8%	12.3%	1.9%	.360	3.11	20.7%	12.1%	54	-0.94	3.11	135	74
Jeff Fulchino R 2011 · 4.44 FIP	31	SU	4.44	20.4%	11.1%	3.0%	.302	—	—	—	—	—	3.36	178	73
Andrew Robinson R 2017 · 4.32 FIP	29	SU	4.32	23.4%	8.8%	3.8%	.245	—	—	—	—	—	3.19	160	72
Dustin Molleken R 2016 · 4.04 FIP	31	SU	4.04	19.6%	12.1%	1.9%	.276	3.38	24.3%	11.9%	16	-0.66	3.38	129	72
Mark Serrano R 2017 · 3.56 FIP	31	SU	3.56	21.9%	6.4%	2.7%	.240	5.25	20.2%	12.3%	42	+1.69	3.16	120	72
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	72
Manny Acosta R 2012 · 4.49 FIP	31	SU	4.49	21.3%	11.1%	3.2%	.295	—	—	—	—	—	3.08	350	71
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	71
Miguel Mejia R 2019 · 4.41 FIP	31	SU	4.41	15.7%	10.7%	2.3%	.341	—	—	—	—	—	3.37	108	71
Adrian Ramirez R 2019 · 4.29 FIP	31	SU	4.29	21.7%	6.3%	4.0%	.327	—	—	—	—	—	3.04	137	71
Yoshihisa Hirano R 2018 · 3.45 FIP	34	SU	3.45	22.5%	7.3%	2.4%	.242	3.97	24.6%	15.2%	65	+0.52	3.45	132	70
Jose Manuel Lopez R 2016 · 3.50 FIP	31	SU	3.50	16.4%	8.4%	1.3%	.308	4.77	19.3%	7.3%	90	+1.27	3.50	170	70
Ryan Cook R 2018 · 3.96 FIP	31	SU	3.96	25.1%	10.8%	2.9%	.280	—	—	—	—	—	2.60	292	70
Brian Sanches R 2010 · 4.24 FIP	31	SU	4.24	21.3%	10.6%	2.9%	.217	4.35	19.6%	8.5%	62	+0.11	3.39	229	70