Chris Bassitt

P Baltimore Orioles

Age 38 RHP 6'5" / 220 lbs MLB peak 1.0 · 2027

Overview

MLBSP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	35	MLBTOR	31	31	171	4.16	3.70	22.2%	9.0%	3.5
2025	36	MLBTOR	32	31	170	3.96	3.75	22.6%	7.1%	3.4
2026	37	MIX2 levels	23	21	116	4.12	3.94	16.8%	8.2%	2.0	K 16.4% · BB 8.1% · FIP 3.88
2027PROJ	38	MLBBAL	13	13	79	4.23	4.31	18.8%	7.9%	1.0
2028PROJ	39	MLBBAL	6	6	39	4.54	4.74	17.7%	8.6%	0.3
2029PROJ	40	MLBBAL	4	4	24	4.76	4.90	18.5%	8.5%	0.1

Last 3 seasons WAR 8.9 · Next 3 projected WAR 1.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

xwOBA vs28

FB Velo22

K%10

Form3.54 ERA (proj 4.23) · K 18.4% (proj 18.8%) · BB 9.6% (proj 7.9%) · last 60d · 28 IP through Oct 27

CompsHiroki Kuroda (age 38) · Walter Silva (age 38) · Yasutomo Kubo (age 38)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 118110vR 102

ERA4.23

FIP4.31

K%18.8%

BB%7.9%

K-BB%10.9%

Proj IP79

Value2027 · WAR

Runs saved vs league avg · 79 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p2292.5

Whiff%

p1920.9%

p1016.1%

xwOBA vs

p280.338

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)
2014	25	MLB MLE	Chicago White Sox	6	5	30	137	21	12	0	83%	4.9	15.3%	8.8%	6.6%	0.0%	3.94	2.92	+0.9
2014	25	MLB RAW	Chicago White Sox	6	5	30	137	21	12	0	83%	4.9	15.3%	8.8%	6.6%	0.0%	3.94	2.90	+0.9
2015	26	MIX MLE	2 levels	31	23	155	646	134	49	6	74%	5.0	19.4%	7.7%	11.7%	1.1%	3.60	3.02	+4.6
2015	26	MIX RAW	2 levels	31	23	155	646	134	49	6	74%	5.0	20.7%	7.6%	13.2%	0.9%	3.60	2.82	+5.0
2016	27	MLB MLE	Oakland Athletics	5	5	28	133	23	14	5	100%	5.6	17.3%	10.5%	6.8%	4.1%	6.11	5.24	+0.1
2016	27	MLB RAW	Oakland Athletics	5	5	28	133	23	14	5	100%	5.6	17.3%	10.5%	6.8%	3.8%	6.11	5.28	+0.0
2017	28	MIX MLE	2 levels	24	9	51	218	45	20	3	38%	2.1	17.5%	9.8%	7.6%	1.7%	5.33	3.83	—
2017	28	MIX RAW	2 levels	24	9	51	218	45	20	3	38%	2.1	20.6%	9.2%	11.5%	1.4%	5.33	3.28	—
2018	29	MIX MLE	2 levels	29	21	129	556	124	44	10	72%	4.5	20.5%	8.1%	12.4%	2.0%	3.83	3.49	+3.0
2018	29	MIX RAW	2 levels	29	21	129	556	124	44	10	72%	4.5	22.3%	7.9%	14.4%	1.8%	3.83	3.21	+3.5
2019	30	MIX MLE	3 levels	31	28	155	657	157	49	23	90%	5.0	23.0%	7.7%	15.4%	3.8%	3.77	4.20	+2.2
2019	30	MIX RAW	3 levels	31	28	155	657	157	49	23	90%	5.0	23.9%	7.5%	16.4%	3.5%	3.77	3.95	+2.7
2020	31	MLB MLE	Oakland Athletics	11	11	63	261	55	17	6	100%	5.7	21.1%	6.5%	14.6%	2.5%	2.29	3.53	+1.4
2020	31	MLB RAW	Oakland Athletics	11	11	63	261	55	17	6	100%	5.7	21.1%	6.5%	14.6%	2.3%	2.29	3.40	+1.5
2021	32	MLB MLE	Oakland Athletics	27	27	157	637	159	38	15	100%	5.8	25.0%	6.0%	19.0%	2.6%	3.15	3.17	+4.4
2021	32	MLB RAW	Oakland Athletics	27	27	157	637	159	38	15	100%	5.8	25.0%	6.0%	19.0%	2.4%	3.15	3.04	+4.7
2022	33	MLB MLE	New York Mets	30	30	182	745	167	49	19	100%	6.1	22.4%	6.6%	15.8%	2.6%	3.42	3.44	+4.4
2022	33	MLB RAW	New York Mets	30	30	182	745	167	49	19	100%	6.1	22.4%	6.6%	15.8%	2.6%	3.42	3.43	+4.4
2023	34	MLB MLE	Toronto Blue Jays	33	33	200	826	186	57	28	100%	6.1	22.5%	6.9%	15.6%	3.4%	3.60	3.93	+3.5
2023	34	MLB RAW	Toronto Blue Jays	33	33	200	826	186	57	28	100%	6.1	22.5%	6.9%	15.6%	3.4%	3.60	3.92	+3.6
2024	35	MLB MLE	Toronto Blue Jays	31	31	171	758	168	68	18	100%	5.5	22.2%	9.0%	13.2%	2.4%	4.16	3.67	+3.6
2024	35	MLB MLE	Toronto Blue Jays	31	31	171	758	168	68	18	100%	5.5	22.2%	9.0%	13.2%	2.4%	4.16	3.67	+3.6
2024	35	MLB RAW	Toronto Blue Jays	31	31	171	758	168	68	18	100%	5.5	22.2%	9.0%	13.2%	2.4%	4.16	3.70	+3.5
2025	36	MLB MLE	Toronto Blue Jays	32	31	170	736	166	52	22	97%	5.3	22.6%	7.1%	15.5%	3.0%	3.96	3.73	+3.4
2025	36	MLB MLE	Toronto Blue Jays	32	31	170	736	166	52	22	97%	5.3	22.6%	7.1%	15.5%	3.0%	3.96	3.73	+3.4
2025	36	MLB RAW	Toronto Blue Jays	32	31	170	736	166	52	22	97%	5.3	22.6%	7.1%	15.5%	3.0%	3.96	3.75	+3.4
2026	37	MIX MLE	2 levels	23	21	116	513	86	42	11	91%	5.0	16.4%	8.1%	8.3%	2.1%	4.12	3.88	+2.1
2026	37	MIX MLE	2 levels	23	21	116	513	86	42	11	91%	5.0	16.4%	8.1%	8.3%	2.1%	4.12	3.88	+2.1
2026	37	MIX RAW	2 levels	23	21	116	513	86	42	11	91%	5.0	16.8%	8.2%	8.6%	2.1%	4.12	3.94	+2.0
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			252	236	1381	5870	1265	441	153	94%	5.5	21.6%	7.5%	14.0%	2.6%	3.70	3.67	+29.0
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	38	MLB	BAL	13	13	79	334	63	26	9	100%	6.1	18.8%	7.9%	10.9%	2.6%	4.23	4.31	+1.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	39	MLB MLE	BAL	6	6	39	164	29	14	5	100%	6.5	17.7%	8.6%	9.1%	3.0%	4.54	4.74	+0.3
2029	40	MLB MLE	BAL	4	4	24	100	19	9	3	100%	6.0	18.5%	8.5%	10.0%	3.5%	4.76	4.90	+0.1
2028	39	MLB CTX	BAL	6	6	39	165	29	14	5	100%	6.5	17.7%	8.6%	9.1%	3.0%	4.54	4.74	+0.3
2029	40	MLB CTX	BAL	4	4	24	101	19	9	4	100%	6.0	18.5%	8.5%	10.0%	3.5%	4.76	4.90	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		262	246	1443	6134	1313	464	161	94%	5.5	21.4%	7.6%	13.8%	2.6%	3.74	3.70	+29.8
/ 200 IP	—	RAW		36	34	200	850	182	64	22	94%	5.5	21.4%	7.6%	13.8%	2.6%	3.74	3.70	+4.1
Career	—	MLE		313	275	1607	6823	1458	516	173	88%	5.1	21.4%	7.6%	13.8%	2.5%	3.76	3.64	+29.3
/ 200 IP	—	MLE		39	34	200	849	182	64	22	88%	5.1	21.4%	7.6%	13.8%	2.5%	3.76	3.64	+4.1

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 AAANorfolk Tides · 14 IPFIP 3.18 → 3.46 (+0.28)K% 22.6% → 19.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.64%	—	×0.860	19.47%
BB% (unintentional) /BF	7.55%	—	×0.900	6.79%
HR / BF /BF	1.89%	÷1.000	×1.100	2.08%

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 3.18 → 3.46, 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 AAALas Vegas Aviators · 8 IPFIP 4.74 → 4.98 (+0.24)K% 25.0% → 22.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.00%	—	×0.880	22.00%
BB% (unintentional) /BF	5.56%	—	×1.050	5.83%
HR / BF /BF	5.56%	÷1.119	×1.100	5.46%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, 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 124).

Result: FIP 4.74 → 4.98, 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).

2018 AAANashville Sounds · 82 IPFIP 2.94 → 3.33 (+0.39)K% 23.6% → 20.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.58%	—	×0.880	20.75%
BB% (unintentional) /BF	7.10%	—	×1.050	7.46%
HR / BF /BF	1.70%	÷0.988	×1.100	1.90%

Result: FIP 2.94 → 3.33, 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).

2017 AAANashville Sounds · 38 IPFIP 3.73 → 4.24 (+0.51)K% 18.6% → 16.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.56%	—	×0.880	16.34%
BB% (unintentional) /BF	9.58%	—	×1.050	10.06%
HR / BF /BF	1.80%	÷0.868	×1.100	2.28%

Result: FIP 3.73 → 4.24, 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).

2017 A+Stockton Ports · 13 IPFIP 1.78 → 2.46 (+0.68)K% 27.5% → 21.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.45%	—	×0.770	21.14%
BB% (unintentional) /BF	7.84%	—	×1.150	9.02%
HR / BF /BF	0.00%	÷1.397	×1.250	0.00%

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 179).

Result: FIP 1.78 → 2.46, 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).

2015 AAANashville Sounds · 69 IPFIP 2.06 → 2.41 (+0.35)K% 24.6% → 21.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.56%	—	×0.880	21.61%
BB% (unintentional) /BF	6.67%	—	×1.050	7.00%
HR / BF /BF	0.35%	÷0.843	×1.100	0.46%

Result: FIP 2.06 → 2.41, 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).

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
Chris Bassitt (OGILVIE)	—	—	—	—	—	2.6%	—	4.80	18.0%	9.4%	63	+0.49	—	—	—
Hiroki Kuroda R 2013 · 3.44 FIP	38	SP	3.44	18.2%	5.0%	2.3%	.279	3.39	17.8%	13.5%	199	-0.05	2.96	1,319	53
Walter Silva R 2015 · 4.15 FIP	38	SP	4.15	14.8%	7.4%	2.5%	.311	3.91	10.4%	3.7%	209	-0.24	3.67	453	46
Yasutomo Kubo R 2019 · 3.98 FIP	38	SP	3.98	20.4%	4.7%	3.6%	.327	—	—	—	—	—	3.98	152	44
Pablo Ortega R 2015 · 4.52 FIP	38	SP	4.52	8.6%	7.3%	2.2%	.291	4.24	11.5%	6.0%	236	-0.28	4.01	375	43
Jon Leicester R 2015 · 3.76 FIP	36	SP	3.76	12.3%	5.9%	1.7%	.333	—	—	—	—	—	3.76	113	40
Ivan Maldonado R 2016 · 5.41 FIP	36	SP	5.41	6.4%	9.7%	3.0%	.325	—	—	—	—	—	4.60	172	37
Logan Duran R 2019 · 3.66 FIP	37	SP-	3.66	15.5%	8.9%	1.4%	.427	—	—	—	—	—	3.42	187	28
Lorenzo Barcelo R 2016 · 3.48 FIP	38	SP	3.48	12.8%	1.1%	2.4%	.329	—	—	—	—	—	3.14	259	26
Jonathan Castellanos R 2019 · 5.24 FIP	37	SW	5.24	11.0%	9.0%	3.5%	.348	—	—	—	—	—	3.40	394	24
Mauricio Lara L 2017 · 3.70 FIP	38	SP	3.70	12.0%	6.3%	1.5%	.301	4.96	12.3%	5.5%	111	+1.26	3.62	444	22
Juan Antonio Pena L 2015 · 4.20 FIP	37	SP-	4.20	13.6%	9.9%	1.8%	.287	—	—	—	—	—	4.20	149	22
Jorge Castillo L 2019 · 4.91 FIP	37	SP	4.91	19.6%	8.1%	4.5%	.316	—	—	—	—	—	4.50	408	21

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 2,161 pitcher careers (1,251 from 1990-2025 + 910 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	7.6	102	21.3%	7.7%	1.02	3.76
Alex Wood ('24)	6.3	114	22.1%	7.1%	0.91	3.78
Bruce Kison ('71-'85, 16 WAR*)	9.0	121	20.4%*	8.5%*	1.10*	4.16*
Danny Duffy ('21)	5.9	107	21.1%	8.7%	1.11	3.95
Garrett Richards ('22)	4.9	98	20.4%	8.7%	0.85	3.87
Joe Hesketh ('84-'94, 10 WAR*)	4.8	87	23.2%*	8.8%*	1.07*	3.95*
Skip Lockwood ('69-'80, 11 WAR*)	6.2	103	22.5%*	9.1%*	1.06*	4.28*