Gregoris Chalas prospect projection, MLE, ETA

Gregoris Chalas P FCL Tigers

Age 25 RHP 5'10" / 143 lbs ROK

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 5 proj IP

wRC+ AGAINSTvL 120112vR 103

ERA4.55

FIP4.55

K%23.0%

BB%10.8%

K-BB%12.2%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 5 IP

Grades · Contract

Scouting Grades

K†5555

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 + 2026 so far)
2018	17	ROK MLE	DSL Rockies	10	1	20	100	19	13	0	10%	2.0	12.9%	16.2%	-3.3%	0.0%	7.32	4.07	—
2018	17	ROK RAW	DSL Rockies	10	1	20	100	19	13	0	10%	2.0	19.0%	13.0%	6.0%	0.0%	7.32	3.15	—
2019	18	ROK MLE	DSL Colorado	4	0	2	21	0	4	1	0%	0.5	0.0%	19.0%	-19.0%	4.8%	31.50	8.13	—
2019	18	ROK RAW	DSL Colorado	4	0	2	21	0	4	1	0%	0.5	0.0%	19.0%	-19.0%	4.8%	31.50	15.60	—
2022	21	ROK MLE	DSL Tigers 2	11	4	26	123	24	14	0	36%	2.4	13.3%	14.2%	-1.0%	0.0%	5.47	3.78	—
2022	21	ROK RAW	DSL Tigers 2	11	4	26	123	24	14	0	36%	2.4	19.5%	11.4%	8.1%	0.0%	5.47	2.87	—
2023	22	MIX MLE	2 levels	19	0	19	95	17	16	2	0%	1.0	10.7%	19.6%	-8.9%	0.0%	9.64	4.68	—
2023	22	MIX MLE	2 levels	19	0	19	95	17	16	2	0%	1.0	10.7%	19.6%	-8.9%	0.0%	9.64	4.68	—
2023	22	MIX RAW	2 levels	19	0	19	95	17	16	2	0%	1.0	17.9%	16.8%	1.1%	2.1%	9.64	5.24	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	25	MLB	DET	—	—	0	—	—	—	—	—	—	23.0%	10.8%	12.2%	3.0%	4.55	4.55	—
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	26	MLB MLE	DET	19	0	20	84	20	9	3	0%	1.1	23.2%	10.6%	12.6%	3.0%	4.51	4.50	+0.0
2027	26	MLB CTX	DET	9	0	9	38	9	4	1	0%	1.0	23.2%	10.6%	12.6%	3.0%	4.51	4.50	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		8	0	9	36	8	4	1	0%	1.1	23.2%	10.6%	12.6%	3.0%	4.51	4.12	+0.0
/ 200 IP	—	RAW		190	0	200	844	187	94	23	0%	1.1	23.2%	10.6%	12.6%	3.0%	4.51	4.12	+1.0
Career	—	MLE		44	5	67	339	39	56	1	11%	1.5	11.6%	16.6%	-5.0%	0.3%	7.97	4.39	+0.0
/ 200 IP	—	MLE		132	15	200	1017	118	169	3	11%	1.5	11.6%	16.6%	-5.0%	0.3%	7.97	4.39	+0.1

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
Gregoris Chalas (OGILVIE)	—	—	4.55	23.0%	10.8%	3.0%	—	4.50	23.2%	12.6%	20	-0.05	—	—	—
Ricardo Velez R 2023 · 4.44 FIP	24	SU	4.44	22.4%	10.9%	3.4%	.261	4.09	18.8%	8.1%	138	-0.35	3.83	166	87
Grant Balfour R 2003 · 4.13 FIP	25	SU	4.13	26.1%	10.4%	3.5%	.275	3.79	24.4%	12.8%	39	-0.34	2.04	533	87
Garrett Mock R 2008 · 3.57 FIP	25	SU	3.57	25.6%	11.1%	2.2%	.300	4.06	17.1%	7.4%	91	+0.49	3.57	132	86
Josh Zeid R 2013 · 4.00 FIP	26	SU	4.00	20.3%	9.3%	2.6%	.287	4.75	16.2%	4.8%	183	+0.75	4.00	313	84
Chris Jefferson R 2022 · 3.53 FIP	25	SU	3.53	22.4%	10.2%	1.9%	.330	4.99	16.5%	3.9%	101	+1.46	3.53	140	84
Jonathan Albaladejo R 2008 · 3.46 FIP	25	SU	3.46	22.4%	10.3%	1.7%	.368	5.02	14.0%	3.8%	46	+1.56	2.30	173	83
Francisco Del Rosario R 2006 · 5.13 FIP	25	SU	5.13	19.4%	13.0%	3.7%	.290	3.93	19.7%	10.3%	26	-1.20	3.93	194	83
Jason Stoffel R 2015 · 3.61 FIP	26	SU	3.61	23.4%	10.1%	2.2%	.267	3.49	27.2%	19.2%	59	-0.12	3.49	103	82
Nolan Clenney R 2021 · 3.73 FIP	25	SU	3.73	25.5%	8.4%	3.1%	.340	4.35	22.4%	13.7%	185	+0.62	3.73	223	82
Brad Boxberger R 2013 · 4.40 FIP	25	SU	4.40	25.5%	13.8%	3.1%	.296	3.54	32.3%	22.2%	152	-0.86	2.63	478	82
Blake Goldsberry R 2022 · 3.43 FIP	25	SU	3.43	23.6%	8.3%	2.3%	.257	5.26	23.6%	12.0%	44	+1.83	3.43	117	82
Guillermo Moscoso R 2009 · 3.56 FIP	25	SU	3.56	18.8%	9.4%	1.6%	.311	4.33	15.8%	8.5%	178	+0.77	3.56	486	82
Michael Wuertz R 2004 · 4.46 FIP	25	SU	4.46	24.2%	12.9%	3.2%	.243	3.39	26.1%	16.6%	189	-1.07	2.27	414	82
Jesus Pirela R 2015 · 3.84 FIP	26	SU	3.84	23.7%	11.6%	2.3%	.305	3.92	17.1%	13.9%	45	+0.08	3.24	161	82
Fernando Salas R 2010 · 4.27 FIP	25	SU	4.27	21.8%	9.8%	3.2%	.276	3.29	23.5%	16.8%	162	-0.98	2.60	539	82
Chaz Roe R 2013 · 4.02 FIP	26	SU	4.02	25.3%	10.5%	3.1%	.259	2.81	24.6%	16.2%	133	-1.21	1.72	279	81
Shawn Tolleson R 2012 · 3.86 FIP	24	SU	3.86	24.4%	11.9%	2.4%	.265	3.47	24.4%	18.5%	144	-0.39	3.05	218	81
Jonathan Brand R 2023 · 3.95 FIP	23	SU	3.95	22.7%	10.8%	2.5%	.236	4.79	19.7%	9.4%	160	+0.84	3.34	198	81
Harrison Cohen R 2023 · 4.56 FIP	24	SU	4.56	22.4%	13.4%	3.0%	.282	4.18	22.3%	9.0%	119	-0.38	2.12	165	81
Luis Vizcaino R 2000 · 4.11 FIP	25	SU	4.11	18.8%	11.5%	2.1%	.354	4.31	22.7%	14.9%	180	+0.20	3.07	564	81