Kobe Robinson

P Lake Elsinore Storm

Age 26 RHP 6'2" / 160 lbs A

Overview

APROSPECT

MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	22	ASD	34	0	52	4.01	2.07	28.3%	11.1%	—	K 21.0% · BB 13.1% · FIP 2.98
2024	23	ASD	20	0	32	6.96	3.35	20.7%	12.8%	—	K 15.3% · BB 15.1% · FIP 4.18
2027PROJ	26	MLBSD	—	—	0	4.69	4.69	21.9%	11.4%	—
2028PROJ36% MLB	27	MLBSD	6	0	6	4.68	4.69	22.1%	11.2%	-0.0

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

Contract

No contract data on file.

CompsJosh Zeid (age 26) · Jesus Pirela (age 26) · Ronald Peña (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 122114vR 106

ERA4.69

FIP4.69

K%21.9%

BB%11.4%

K-BB%10.6%

Proj IP19

Value2027 · WAR

Runs saved vs league avg · 19 IP

Grades · Contract

Scouting Grades

K†5055

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)
2021	20	ROK MLE	ACL Padres	3	0	3	16	3	2	0	0%	1.0	18.8%	12.5%	6.2%	0.0%	6.00	3.10	—
2021	20	ROK RAW	ACL Padres	3	0	3	16	3	2	0	0%	1.0	18.8%	12.5%	6.2%	0.0%	6.00	3.10	—
2022	21	A MLE	Lake Elsinore Storm	7	3	23	99	31	12	2	43%	3.2	23.2%	14.3%	8.9%	2.8%	3.57	4.49	—
2022	21	A RAW	Lake Elsinore Storm	7	3	23	99	31	12	2	43%	3.2	31.3%	12.1%	19.2%	2.0%	3.57	3.10	—
2023	22	A MLE	Lake Elsinore Storm	34	0	52	226	64	25	0	0%	1.5	21.0%	13.1%	7.9%	0.0%	4.01	2.98	—
2023	22	A RAW	Lake Elsinore Storm	34	0	52	226	64	25	0	0%	1.5	28.3%	11.1%	17.3%	0.0%	4.01	2.07	—
2024	23	A MLE	Lake Elsinore Storm	20	0	32	164	34	21	1	0%	1.6	15.3%	15.1%	0.2%	0.8%	6.96	4.18	—
2024	23	A MLE	Lake Elsinore Storm	20	0	32	164	34	21	1	0%	1.6	15.3%	15.1%	0.2%	0.8%	6.96	4.18	—
2024	23	A RAW	Lake Elsinore Storm	20	0	32	164	34	21	1	0%	1.6	20.7%	12.8%	7.9%	0.6%	6.96	3.35	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	SD	—	—	0	—	—	—	—	—	—	21.9%	11.4%	10.6%	3.0%	4.69	4.69	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	SD	16	0	17	71	16	8	2	0%	1.1	22.1%	11.2%	10.9%	3.0%	4.68	4.69	-0.0
2028	27	MLB CTX	SD	6	0	6	25	6	3	1	0%	1.0	22.1%	11.2%	10.9%	3.0%	4.68	4.69	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	6	26	6	3	1	0%	1.0	22.1%	11.2%	10.9%	3.0%	4.68	4.31	+0.0
/ 200 IP	—	RAW		190	0	200	844	197	98	33	0%	1.1	22.1%	11.2%	10.9%	3.0%	4.68	4.31	+0.6
Career	—	MLE		64	3	110	505	98	70	4	5%	1.7	19.5%	13.9%	5.5%	0.8%	4.84	3.67	-0.0
/ 200 IP	—	MLE		117	5	200	921	180	128	8	5%	1.7	19.5%	13.9%	5.5%	0.8%	4.84	3.67	-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.

2024 ALake Elsinore Storm · 32 IPFIP 3.31 → 4.18 (+0.87)K% 20.7% → 15.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.73%	—	×0.740	15.34%
BB% (unintentional) /BF	12.80%	—	×1.180	15.11%
HR / BF /BF	0.61%	÷0.953	×1.300	0.83%

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 91).

Result: FIP 3.31 → 4.18, 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 ALake Elsinore Storm · 52 IPFIP 2.11 → 2.98 (+0.87)K% 28.3% → 21.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.32%	—	×0.740	20.96%
BB% (unintentional) /BF	11.06%	—	×1.180	13.05%
HR / BF /BF	0.00%	÷1.121	×1.300	0.00%

Result: FIP 2.11 → 2.98, 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).

2022 ALake Elsinore Storm · 23 IPFIP 3.10 → 4.49 (+1.39)K% 31.3% → 23.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.31%	—	×0.740	23.17%
BB% (unintentional) /BF	12.12%	—	×1.180	14.30%
HR / BF /BF	2.02%	÷0.938	×1.300	2.80%

Result: FIP 3.10 → 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
Kobe Robinson (OGILVIE)	—	—	4.69	21.9%	11.4%	3.0%	—	4.69	22.1%	10.9%	17	+0.00	—	—	—
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	87
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	86
Ronald Peña R 2018 · 4.19 FIP	26	SU	4.19	23.4%	11.6%	2.9%	.273	4.52	18.7%	7.1%	88	+0.33	3.72	187	86
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	85
Daniel Corcino R 2017 · 3.93 FIP	26	SU	3.93	21.7%	11.4%	2.2%	.292	4.91	19.0%	7.9%	223	+0.98	3.84	318	84
Jose Rafael De Paula R 2017 · 4.46 FIP	26	SU	4.46	19.9%	9.8%	3.3%	.278	4.79	22.7%	10.3%	89	+0.33	2.64	315	84
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	84
Francisco Del Rosario R 2007 · 3.93 FIP	26	SU	3.93	19.7%	9.4%	2.4%	.356	—	—	—	—	—	3.93	194	84
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	83
Jon Leicester R 2004 · 4.69 FIP	25	SU	4.69	20.0%	8.6%	4.0%	.280	4.44	11.0%	2.0%	32	-0.25	3.76	113	83
Brandon Cunniff R 2015 · 4.28 FIP	26	SU	4.28	24.5%	13.2%	2.9%	.256	4.32	20.3%	9.0%	115	+0.04	3.89	180	83
Fernando Rodriguez Jr. R 2011 · 3.85 FIP	27	SU	3.85	24.7%	10.8%	2.7%	.315	3.90	25.2%	16.5%	70	+0.05	3.34	335	82
Cody Tucker R 2024 · 4.97 FIP	25	SU	4.97	22.0%	12.0%	4.0%	.272	5.36	15.8%	-1.9%	40	+0.39	4.97	105	82
Garrett Apker R 2024 · 4.01 FIP	24	SU	4.01	19.8%	11.2%	2.1%	.288	8.46	15.4%	-7.6%	11	+4.45	4.01	101	82
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	82
Grant Balfour R 2004 · 3.79 FIP	26	SU	3.79	24.4%	11.6%	2.3%	.292	4.01	24.8%	8.3%	25	+0.22	2.04	533	82
Casey Fien R 2009 · 5.17 FIP	25	SU	5.17	17.0%	11.3%	3.8%	.306	2.79	22.7%	19.2%	35	-2.38	2.79	308	82
Sam Gardner R 2023 · 4.04 FIP	26	SU	4.04	23.8%	15.1%	1.9%	.298	3.23	26.7%	16.4%	76	-0.81	2.28	121	82
Hueston Morrill R 2024 · 4.54 FIP	24	SU	4.54	19.8%	8.7%	3.7%	.302	3.24	19.0%	8.2%	54	-1.30	3.09	102	81
Jackson Hicks R 2023 · 3.90 FIP	25	SU	3.90	22.6%	10.5%	2.5%	.336	—	—	—	—	—	2.17	116	81