Nathan Blasick

P Spokane Indians

Age 26 RHP 6'3" / 210 lbs A+

Overview

A+PROSPECT

ETA2029MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	ACOL	5	5	1.69	2.91	34.8%	21.7%	—	K 34.8% · BB 21.7% · FIP 2.92
2025	24	ACOL	43	53	3.59	2.87	28.7%	11.7%	—	K 21.2% · BB 13.9% · FIP 4.13
2026	25	MIX2 levels	38	64	3.50	3.16	25.1%	10.9%	—	K 19.5% · BB 12.3% · FIP 4.00
2027PROJ	26	MLBCOL	67	70	5.10	5.10	19.3%	13.9%	-0.4
2028PROJ37% MLB	27	MLBCOL	24	25	5.04	5.06	19.7%	13.5%	-0.1
2029PROJ59% MLB	28	MLBCOL	37	39	5.04	5.09	19.8%	13.3%	-0.2

Next 3 projected WAR -0.8Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff45Control30Command45

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 98%

CompsNolan Riggs (age 25) · Armando Rivero (age 27) · Carlos Fisher (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 130122vR 114

ERA5.10

FIP5.10

K%19.3%

BB%13.9%

K-BB%5.4%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL3030

CMD4545

K†4545

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)
2024	23	A MLE	Fresno Grizzlies	5	0	5	23	8	5	0	0%	1.1	34.8%	21.7%	13.0%	0.0%	1.69	2.92	—
2024	23	A MLE	Fresno Grizzlies	5	0	5	23	8	5	0	0%	1.1	34.8%	21.7%	13.0%	0.0%	1.69	2.92	—
2024	23	A RAW	Fresno Grizzlies	5	0	5	23	8	5	0	0%	1.1	34.8%	21.7%	13.0%	0.0%	1.69	2.91	—
2025	24	A MLE	Fresno Grizzlies	43	0	53	230	66	27	3	0%	1.2	21.2%	13.9%	7.4%	1.9%	3.59	4.13	—
2025	24	A MLE	Fresno Grizzlies	43	0	53	230	66	27	3	0%	1.2	21.2%	13.9%	7.4%	1.9%	3.59	4.13	—
2025	24	A RAW	Fresno Grizzlies	43	0	53	230	66	27	3	0%	1.2	28.7%	11.7%	17.0%	1.3%	3.59	2.87	—
2026	25	MIX MLE	2 levels	38	0	64	275	69	30	4	0%	1.7	19.5%	12.3%	7.2%	1.8%	3.50	4.00	—
2026	25	MIX MLE	2 levels	38	0	64	275	69	30	4	0%	1.7	19.5%	12.3%	7.2%	1.8%	3.50	4.00	—
2026	25	MIX RAW	2 levels	38	0	64	275	69	30	4	0%	1.7	25.1%	10.9%	14.2%	1.5%	3.50	3.16	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	COL	67	0	70	296	57	41	8	0%	1.0	19.3%	13.9%	5.4%	2.7%	5.10	5.10	-0.4
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	COL	66	0	69	291	57	39	8	0%	1.0	19.7%	13.5%	6.2%	2.8%	5.04	5.06	-0.4
2029	28	MLB MLE	COL	64	0	67	282	56	38	8	0%	1.0	19.8%	13.3%	6.5%	2.9%	5.04	5.09	-0.4
2030	29	MLB MLE	COL	61	0	64	270	53	36	8	0%	1.0	19.8%	13.4%	6.4%	3.1%	5.11	5.18	-0.5
2028	27	MLB CTX	COL	24	0	25	106	21	14	3	0%	1.0	19.7%	13.5%	6.2%	2.8%	5.04	5.06	-0.1
2029	28	MLB CTX	COL	37	0	39	165	33	22	5	0%	1.1	19.8%	13.3%	6.5%	2.9%	5.04	5.09	-0.2
2030	29	MLB CTX	COL	43	0	45	190	38	25	6	0%	1.0	19.8%	13.4%	6.4%	3.1%	5.11	5.18	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		104	0	110	463	92	62	14	0%	1.1	19.8%	13.4%	6.4%	2.9%	5.07	4.74	-0.2
/ 200 IP	—	RAW		190	0	200	844	168	113	26	0%	1.1	19.8%	13.4%	6.4%	2.9%	5.07	4.74	-0.4
Career	—	MLE		86	0	122	528	111	71	9	0%	1.4	20.9%	13.4%	7.5%	1.8%	3.46	4.01	-1.3
/ 200 IP	—	MLE		141	0	200	863	181	116	15	0%	1.4	20.9%	13.4%	7.5%	1.8%	3.46	4.01	-1.3

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
Nathan Blasick (OGILVIE)	—	—	5.10	19.3%	13.9%	2.7%	—	5.11	19.8%	6.4%	200	+0.01	—	—	—
Nolan Riggs R 2018 · 4.49 FIP	25	SU	4.49	20.7%	14.0%	2.5%	.300	—	—	—	—	—	2.36	132	90
Armando Rivero R 2015 · 4.29 FIP	27	SU	4.29	18.7%	13.5%	1.9%	.256	2.70	32.9%	19.8%	68	-1.59	2.70	125	89
Carlos Fisher R 2009 · 3.90 FIP	26	SU	3.90	21.2%	12.8%	1.8%	.317	3.80	18.2%	8.1%	46	-0.10	2.48	245	88
Juan Paniagua R 2016 · 4.57 FIP	26	SU	4.57	17.7%	14.7%	2.0%	.246	4.75	12.9%	-1.0%	29	+0.18	4.57	151	88
Nick Ernst R 2022 · 5.05 FIP	25	SU	5.05	21.9%	14.6%	3.5%	.275	—	—	—	—	—	3.56	117	87
Justin Courtney R 2022 · 5.11 FIP	26	SU	5.11	16.8%	12.8%	3.3%	.331	8.63	18.4%	7.1%	21	+3.52	4.58	108	86
Brad Schreiber R 2017 · 4.23 FIP	26	SU	4.23	17.3%	12.7%	1.8%	.312	—	—	—	—	—	3.81	171	86
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.85	18.1%	10.3%	272	-1.01	3.52	391	86
Dusty Isaacs R 2018 · 5.26 FIP	26	SU	5.26	19.3%	14.1%	3.7%	.287	3.16	26.8%	20.6%	26	-2.10	3.16	253	85
Roman Phansalkar R 2024 · 5.39 FIP	26	SU	5.39	15.8%	13.2%	3.6%	.294	4.33	18.2%	3.7%	31	-1.06	4.33	164	85
Francisco Rodriguez R 2010 · 4.33 FIP	27	SU	4.33	17.2%	11.0%	2.4%	.283	5.00	11.9%	3.4%	14	+0.67	3.16	334	85
Grant Sides R 2015 · 3.96 FIP	26	SU	3.96	17.2%	13.2%	1.2%	.266	3.83	22.4%	10.5%	62	-0.13	3.31	159	85
Ryan Conroy R 2022 · 4.75 FIP	25	SU	4.75	19.3%	12.6%	3.1%	.361	—	—	—	—	—	4.01	106	85
Matt Lollis R 2016 · 4.95 FIP	25	SU	4.95	19.2%	14.5%	3.0%	.221	—	—	—	—	—	4.56	120	85
Keagan Gillies R 2024 · 4.02 FIP	26	SU	4.02	21.1%	13.3%	1.9%	.306	3.91	20.0%	14.4%	74	-0.11	2.93	177	85
Esmerling Vasquez R 2010 · 4.37 FIP	26	SU	4.37	22.9%	14.6%	2.5%	.278	4.23	12.5%	1.5%	62	-0.14	3.70	204	84
D.J. Carrasco R 2003 · 4.27 FIP	26	SU	4.27	16.1%	10.1%	2.2%	.291	4.66	10.5%	1.4%	150	+0.39	3.23	490	84
Josh Harlow R 2024 · 5.17 FIP	23	SU	5.17	18.5%	13.5%	3.5%	.266	5.73	17.1%	-4.2%	51	+0.56	5.17	107	84
Julian Arballo R 2015 · 5.13 FIP	27	SU	5.13	15.1%	13.8%	2.8%	.335	4.46	12.6%	0.6%	116	-0.67	4.45	214	84
David Goforth R 2015 · 3.98 FIP	26	SU	3.98	17.4%	9.8%	2.0%	.287	4.58	14.1%	3.6%	184	+0.60	3.98	256	84

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	1.3	67	19.6%	13.5%	1.11	5.07
Tyler Yates ('09)	1.2	62	19.7%	12.0%	0.94	5.12
Doug Bochtler ('00)	1.3	65	18.6%	14.4%	1.25	4.57
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Ron Piche ('60-'66, -3 WAR*)	1.1	44	20.6%*	12.8%*	1.14*	5.06*