Darlin Saladin

P Springfield Cardinals

Age 24 RHP 6'0" / 150 lbs AA peak 0.1 · 2032

Overview

AAPROSPECT

ETA2028MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	21	MIX2 levels	23	21	123	2.71	2.15	27.4%	6.7%	—	K 20.7% · BB 7.9% · FIP 2.91
2025	22	A+STL	26	13	95	4.85	3.98	19.8%	11.5%	—	K 15.2% · BB 13.2% · FIP 5.05
2026	23	AASTL	41	0	56	5.30	2.87	28.6%	13.9%	—	K 23.1% · BB 15.3% · FIP 3.60
2027PROJ	24	MLBSTL	1	0	1	5.15	5.15	18.7%	14.9%	-0.0
2028PROJ44% MLB	25	MLBSTL	27	0	28	4.98	4.92	19.4%	13.4%	-0.1
2029PROJ67% MLB	26	MLBSTL	35	0	37	4.88	4.85	19.8%	12.9%	-0.1

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff35Control40Command35

Career WAR0.0 WAR median (P10 -0.3 / P90 0.5, comp-based) · star 0% · didn't stick 97%

CompsJarret Whorff (age 24) · Nick Hull (age 24) · Victor Santos (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 131123vR 115

ERA5.15

FIP5.15

K%18.7%

BB%14.9%

K-BB%3.8%

Proj IP67

Value2027 · WAR

Runs saved vs league avg · 67 IP

Grades · Contract

Scouting Grades

STUF3535

CTRL4040

CMD3535

K†4550

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	18	ROK MLE	DSL Cardinals Red	20	0	38	165	31	15	0	0%	1.9	12.8%	11.4%	1.4%	0.0%	4.03	3.46	—
2021	18	ROK RAW	DSL Cardinals Red	20	0	38	165	31	15	0	0%	1.9	18.8%	9.1%	9.7%	0.0%	4.03	2.65	—
2022	19	ROK MLE	DSL Cardinals	12	12	48	212	51	26	0	100%	4.0	16.4%	15.3%	1.0%	0.0%	3.59	3.66	—
2022	19	ROK RAW	DSL Cardinals	12	12	48	212	51	26	0	100%	4.0	24.1%	12.3%	11.8%	0.0%	3.59	2.60	—
2023	20	MIX MLE	2 levels	13	11	49	207	50	23	4	85%	3.8	16.2%	13.3%	2.9%	2.8%	3.10	4.98	—
2023	20	MIX RAW	2 levels	13	11	49	207	50	23	4	85%	3.8	24.2%	11.1%	13.0%	1.9%	3.10	3.53	—
2024	21	MIX MLE	2 levels	23	21	123	489	134	33	4	91%	5.3	20.7%	7.9%	12.9%	1.0%	2.71	2.91	—
2024	21	MIX MLE	2 levels	23	21	123	489	134	33	4	91%	5.3	20.7%	7.9%	12.9%	1.0%	2.71	2.91	—
2024	21	MIX RAW	2 levels	23	21	123	489	134	33	4	91%	5.3	27.4%	6.7%	20.7%	0.8%	2.71	2.15	—
2025	22	A+ MLE	Peoria Chiefs	26	13	95	409	81	47	8	50%	3.6	15.2%	13.2%	2.0%	2.9%	4.85	5.05	—
2025	22	A+ MLE	Peoria Chiefs	26	13	95	409	81	47	8	50%	3.6	15.2%	13.2%	2.0%	2.9%	4.85	5.05	—
2025	22	A+ RAW	Peoria Chiefs	26	13	95	409	81	47	8	50%	3.6	19.8%	11.5%	8.3%	2.0%	4.85	3.98	—
2026	23	AA MLE	Springfield Cardinals	41	0	56	252	72	35	2	0%	1.4	23.1%	15.3%	7.9%	1.0%	5.30	3.60	—
2026	23	AA MLE	Springfield Cardinals	41	0	56	252	72	35	2	0%	1.4	23.1%	15.3%	7.9%	1.0%	5.30	3.60	—
2026	23	AA RAW	Springfield Cardinals	41	0	56	252	72	35	2	0%	1.4	28.6%	13.9%	14.7%	0.8%	5.30	2.87	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	STL	1	0	1	4	1	1	0	0%	1.0	18.7%	14.9%	3.8%	2.5%	5.15	5.15	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	STL	60	0	63	266	52	36	7	0%	1.1	19.4%	13.4%	6.0%	2.5%	4.98	4.92	-0.3
2029	26	MLB MLE	STL	53	0	55	234	46	30	6	0%	1.0	19.8%	12.9%	6.9%	2.6%	4.88	4.85	-0.2
2030	27	MLB MLE	STL	49	0	52	219	44	28	6	0%	1.1	19.9%	12.7%	7.2%	2.6%	4.85	4.86	-0.2
2031	28	MLB MLE	STL	47	0	49	206	41	26	6	0%	1.0	19.8%	12.8%	7.1%	2.7%	4.89	4.93	-0.2
2032	29	MLB MLE	STL	46	0	48	203	44	25	6	0%	1.0	21.6%	12.2%	9.4%	2.9%	4.83	4.79	-0.1
2033	30	MLB MLE	STL	42	0	44	184	39	23	6	0%	1.0	21.2%	12.5%	8.8%	3.1%	4.91	4.96	-0.2
2028	25	MLB CTX	STL	27	0	28	118	23	16	3	0%	1.0	19.4%	13.4%	6.0%	2.5%	4.98	4.92	-0.1
2029	26	MLB CTX	STL	35	0	37	156	31	20	4	0%	1.1	19.8%	12.9%	6.9%	2.6%	4.88	4.85	-0.1
2030	27	MLB CTX	STL	38	0	40	169	34	22	4	0%	1.1	19.9%	12.7%	7.2%	2.6%	4.85	4.86	-0.1
2031	28	MLB CTX	STL	39	0	41	173	34	22	5	0%	1.1	19.8%	12.8%	7.1%	2.7%	4.89	4.93	-0.2
2032	29	MLB CTX	STL	40	0	42	177	38	22	5	0%	1.1	21.6%	12.2%	9.4%	2.9%	4.83	4.79	-0.1
2033	30	MLB CTX	STL	37	0	39	165	35	21	5	0%	1.1	21.2%	12.5%	8.8%	3.1%	4.91	4.96	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		217	0	227	960	195	122	26	0%	1.0	20.4%	12.7%	7.6%	2.8%	4.88	4.50	+0.1
/ 200 IP	—	RAW		190	0	200	844	171	107	23	0%	1.0	20.4%	12.7%	7.6%	2.8%	4.88	4.50	+0.1
Career	—	MLE		135	57	409	1734	311	210	25	42%	3.0	18.0%	12.1%	5.9%	1.4%	3.83	3.91	-1.2
/ 200 IP	—	MLE		66	28	200	849	152	103	12	42%	3.0	18.0%	12.1%	5.9%	1.4%	3.83	3.91	-0.8

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 AASpringfield Cardinals · 56 IPFIP 2.88 → 3.60 (+0.72)K% 28.6% → 23.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.57%	—	×0.810	23.14%
BB% (unintentional) /BF	13.89%	—	×1.100	15.28%
HR / BF /BF	0.79%	÷1.000	×1.200	0.95%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. 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 2.88 → 3.60, 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).

2025 A+Peoria Chiefs · 95 IPFIP 3.96 → 5.05 (+1.09)K% 19.8% → 15.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.80%	—	×0.770	15.25%
BB% (unintentional) /BF	11.49%	—	×1.150	13.22%
HR / BF /BF	1.96%	÷0.857	×1.250	2.85%

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 71).

Result: FIP 3.96 → 5.05, 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).

2024 A+Peoria Chiefs · 63 IPFIP 2.17 → 2.99 (+0.83)K% 27.9% → 21.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.91%	—	×0.770	21.49%
BB% (unintentional) /BF	6.20%	—	×1.150	7.13%
HR / BF /BF	1.16%	÷0.993	×1.250	1.46%

Result: FIP 2.17 → 2.99, 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).

2024 APalm Beach Cardinals · 60 IPFIP 2.00 → 2.82 (+0.82)K% 26.8% → 19.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.84%	—	×0.740	19.86%
BB% (unintentional) /BF	7.36%	—	×1.180	8.68%
HR / BF /BF	0.43%	÷1.036	×1.300	0.54%

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 107).

Result: FIP 2.00 → 2.82, 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 ROKFCL Cardinals · 47 IPFIP 3.55 → 4.98 (+1.43)K% 23.9% → 16.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.86%	—	×0.680	16.22%
BB% (unintentional) /BF	10.66%	—	×1.250	13.32%
HR / BF /BF	2.03%	÷1.000	×1.400	2.84%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. 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 3.55 → 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).

2022 ROKDSL Cardinals · 48 IPFIP 2.62 → 3.66 (+1.04)K% 24.1% → 16.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.06%	—	×0.680	16.36%
BB% (unintentional) /BF	12.26%	—	×1.250	15.33%
HR / BF /BF	0.00%	÷1.039	×1.400	0.00%

Result: FIP 2.62 → 3.66, 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).

2021 ROKDSL Cardinals Red · 38 IPFIP 2.66 → 3.46 (+0.80)K% 18.8% → 12.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.79%	—	×0.680	12.78%
BB% (unintentional) /BF	9.09%	—	×1.250	11.36%
HR / BF /BF	0.00%	÷1.060	×1.400	0.00%

Result: FIP 2.66 → 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).

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
Darlin Saladin (OGILVIE)	—	—	5.15	18.7%	14.9%	2.5%	—	4.88	19.7%	6.6%	170	-0.27	—	—	—
Jarret Whorff R 2023 · 4.24 FIP	24	SW	4.24	19.5%	14.2%	1.8%	.287	4.34	19.4%	10.8%	193	+0.10	3.88	257	88
Nick Hull R 2024 · 4.62 FIP	24	SW	4.62	19.0%	12.2%	2.9%	.296	5.00	16.8%	6.2%	111	+0.38	4.26	292	87
Victor Santos R 2001 · 4.97 FIP	24	SW	4.97	15.5%	13.4%	2.7%	.231	4.38	16.4%	7.4%	206	-0.59	4.09	602	83
Orlando Ortiz-Mayr R 2022 · 4.61 FIP	24	SU	4.61	21.0%	13.2%	2.9%	.341	4.74	15.7%	4.0%	343	+0.13	3.65	492	81
Brad Allen R 2015 · 4.25 FIP	26	SW	4.25	14.0%	12.6%	1.3%	.315	5.82	14.7%	1.5%	87	+1.57	4.25	149	80
Carlton Perkins R 2024 · 4.16 FIP	21	SW	4.16	18.6%	15.7%	1.2%	.356	4.88	18.2%	0.2%	66	+0.72	3.61	124	80
Dylan Cumming R 2023 · 4.11 FIP	24	SW	4.11	16.0%	10.7%	1.8%	.311	4.31	18.4%	9.4%	314	+0.20	3.75	406	80
Engert Garcia R 2024 · 4.25 FIP	24	SW	4.25	15.9%	16.8%	0.7%	.311	5.94	12.9%	-14.3%	26	+1.69	3.13	125	80
Grant Black R 2021 · 4.46 FIP	27	SW	4.46	19.0%	13.9%	2.2%	.327	5.35	15.0%	3.8%	156	+0.89	4.46	215	80
Cullen Kafka R 2023 · 4.95 FIP	24	SW	4.95	14.2%	12.1%	2.8%	.330	—	—	—	—	—	3.64	148	80
Raymar Navarro R 2016 · 4.30 FIP	25	SW	4.30	13.1%	11.7%	1.5%	.332	4.29	11.8%	1.0%	41	-0.01	4.29	108	79
Tanner Burns R 2023 · 5.27 FIP	24	SW	5.27	19.4%	12.5%	4.0%	.257	4.95	18.3%	5.2%	131	-0.32	4.34	382	79
Cooper Adams R 2024 · 5.42 FIP	24	SW	5.42	13.0%	12.2%	3.4%	.275	4.32	21.7%	10.4%	141	-1.10	3.05	221	79
Dylan Spacke R 2022 · 5.24 FIP	24	SU	5.24	16.1%	13.9%	3.2%	.297	4.79	13.6%	0.2%	52	-0.45	2.08	205	79
Austin Vernon R 2023 · 5.75 FIP	24	SW	5.75	22.1%	16.8%	4.3%	.325	3.68	23.3%	10.0%	100	-2.07	3.37	261	78
Corey Avant R 2024 · 4.76 FIP	22	SW	4.76	17.1%	14.9%	2.2%	.394	4.57	19.9%	6.4%	221	-0.19	3.69	292	78
Brad Deppermann R 2021 · 4.51 FIP	25	SW	4.51	17.1%	9.6%	3.0%	.289	3.52	20.0%	7.8%	45	-0.99	1.94	143	78
Danny Kirwin R 2024 · 4.19 FIP	24	SW	4.19	17.9%	9.9%	2.4%	.262	5.33	16.8%	4.6%	91	+1.14	4.16	161	78
Daniel Blair R 2023 · 4.10 FIP	24	SW	4.10	16.6%	10.0%	2.1%	.284	4.39	17.0%	7.8%	78	+0.29	4.10	171	78
Hunter Adkins R 2016 · 4.64 FIP	25	SW	4.64	16.2%	10.3%	2.9%	.290	4.82	11.8%	0.5%	58	+0.18	4.64	160	78

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 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	1.9	54	19.9%	13.2%	1.04	4.94
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Tyler Yates ('09)	1.2	62	19.7%	12.0%	0.94	5.12
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Jesus Colome ('10)	2.1	53	17.3%	11.7%	1.03	4.69
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
David Aardsma ('15)	1.7	48	23.1%	12.4%	1.09	4.27