Chase Silseth

P Texas Rangers

Age 27 RHP 6'0" / 217 lbs MLB peak 0.3 · 2027

Overview

MLBRP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	24	MIX3 levels	11	11	43	5.40	5.57	19.2%	11.1%	-0.1	K 10.5% · BB 12.4% · FIP 6.90
2025	25	MIX3 levels	33	8	57	3.16	2.75	27.4%	12.1%	1.2	K 22.0% · BB 12.9% · FIP 3.23
2026	26	MLBTEX	73	0	60	3.60	3.48	27.3%	11.4%	0.8
2027PROJ	27	MLBTEX	52	0	55	3.97	4.05	28.0%	12.0%	0.3
2028PROJ95% MLB	28	MLBTEX	43	0	45	4.07	4.13	27.9%	12.2%	0.2
2029PROJ95% MLB	29	MLBTEX	35	0	37	4.20	4.29	27.3%	12.4%	0.1

Last 3 seasons WAR 1.9 · Next 3 projected WAR 0.7Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

K%78

FB Velo70

xwOBA vs51

Form5.31 ERA (proj 3.97) · K 26.8% (proj 28.0%) · BB 13.4% (proj 12.0%) ▼ last 90d · 20 IP through Oct 27

CompsKiko Calero (age 28) · Jordan Jankowski (age 27) · Peyton Gray (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 108100vR 92

ERA3.97

FIP4.05

K%28.0%

BB%12.0%

K-BB%16.0%

Proj IP55

Value2027 · WAR

Runs saved vs league avg · 55 IP

Grades · Statcast · Contract

Scouting Grades

STUF6565

CTRL3030

CMD5050

K†6565

Statcast Percentiles

FB Velo

p7095.9

Whiff%

p9032.8%

p7827.3%

xwOBA vs

p510.311

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	21	MIX MLE	2 levels	3	2	5	27	7	1	1	67%	1.8	25.9%	3.7%	22.2%	3.7%	10.12	3.41	—
2021	21	MIX RAW	2 levels	3	2	5	27	7	1	1	67%	1.8	25.9%	3.7%	22.2%	3.7%	10.12	3.48	—
2022	22	MIX MLE	2 levels	22	22	112	449	134	39	18	100%	5.1	25.2%	9.3%	15.9%	4.1%	3.39	4.42	+1.3
2022	22	MIX RAW	2 levels	22	22	112	449	134	39	18	100%	5.1	29.8%	8.7%	21.2%	4.0%	3.39	3.84	+2.1
2023	23	MIX MLE	2 levels	27	19	98	407	105	46	10	70%	3.6	24.1%	10.8%	13.3%	2.4%	3.49	3.77	+1.9
2023	23	MIX RAW	2 levels	27	19	98	407	105	46	10	70%	3.6	25.8%	11.3%	14.5%	2.5%	3.49	3.69	+2.0
2024	24	MIX MLE	3 levels	11	11	43	198	38	22	9	100%	3.9	10.5%	12.4%	-1.9%	5.7%	5.40	6.90	-0.7
2024	24	MIX MLE	3 levels	11	11	43	198	38	22	9	100%	3.9	10.5%	12.4%	-1.9%	5.7%	5.40	6.90	-0.7
2024	24	MIX RAW	3 levels	11	11	43	198	38	22	9	100%	3.9	19.2%	11.1%	8.1%	4.5%	5.40	5.57	-0.1
2025	25	MIX MLE	3 levels	33	8	57	248	68	30	2	24%	1.7	22.0%	12.9%	9.2%	0.7%	3.16	3.23	+0.9
2025	25	MIX MLE	3 levels	33	8	57	248	68	30	2	24%	1.7	22.0%	12.9%	9.2%	0.7%	3.16	3.23	+0.9
2025	25	MIX RAW	3 levels	33	8	57	248	68	30	2	24%	1.7	27.4%	12.1%	15.3%	0.8%	3.16	2.75	+1.2
2026	26	MLB MLE	Texas Rangers	73	0	60	271	74	31	6	0%	0.8	27.3%	11.4%	15.9%	2.1%	3.60	3.37	+0.8
2026	26	MLB MLE	Texas Rangers	73	0	60	271	74	31	6	0%	0.8	27.3%	11.4%	15.9%	2.1%	3.60	3.37	+0.8
2026	26	MLB RAW	Texas Rangers	73	0	60	271	74	31	6	0%	0.8	27.3%	11.4%	15.9%	2.2%	3.60	3.48	+0.8
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			108	17	160	708	179	78	26	16%	1.5	25.3%	11.0%	14.3%	3.7%	4.28	4.44	+0.2
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	TEX	52	0	55	232	65	28	6	0%	1.1	28.0%	12.0%	16.0%	2.6%	3.97	4.05	+0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	TEX	45	0	47	199	56	24	5	0%	1.0	27.9%	12.2%	15.7%	2.7%	4.07	4.13	+0.2
2029	29	MLB MLE	TEX	37	0	39	164	45	20	5	0%	1.1	27.3%	12.4%	14.9%	2.8%	4.20	4.29	+0.1
2030	30	MLB MLE	TEX	30	0	31	132	35	17	4	0%	1.0	26.6%	12.7%	13.9%	3.0%	4.38	4.50	+0.0
2028	28	MLB CTX	TEX	43	0	45	190	53	23	5	0%	1.0	27.9%	12.2%	15.7%	2.7%	4.07	4.13	+0.2
2029	29	MLB CTX	TEX	35	0	37	156	43	19	4	0%	1.1	27.3%	12.4%	14.9%	2.8%	4.20	4.29	+0.1
2030	30	MLB CTX	TEX	29	0	30	127	34	16	4	0%	1.0	26.6%	12.7%	13.9%	3.0%	4.38	4.50	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		214	17	271	1179	308	136	39	8%	1.3	26.1%	11.6%	14.5%	3.3%	4.24	4.19	+1.2
/ 200 IP	—	RAW		158	13	200	868	227	100	29	8%	1.3	26.1%	11.6%	14.5%	3.3%	4.24	4.19	+0.9
Career	—	MLE		169	62	375	1600	368	174	48	37%	2.2	23.0%	10.9%	12.1%	3.0%	3.74	4.18	+0.6
/ 200 IP	—	MLE		90	33	200	853	196	93	26	37%	2.2	23.0%	10.9%	12.1%	3.0%	3.74	4.18	+0.4

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.

2025 AAASalt Lake Bees · 39 IPFIP 3.07 → 3.23 (+0.16)K% 25.6% → 22.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.60%	—	×0.860	22.01%
BB% (unintentional) /BF	14.29%	—	×0.900	12.86%
HR / BF /BF	0.60%	÷0.989	×1.100	0.66%

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 98).

Result: FIP 3.07 → 3.23, 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 ROKACL Angels · 7 IPFIP 0.24 → 1.39 (+1.15)K% 38.7% → 26.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	38.71%	—	×0.680	26.32%
BB% (unintentional) /BF	3.23%	—	×1.250	4.03%
HR / BF /BF	0.00%	÷0.873	×1.400	0.00%

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 75).

Result: FIP 0.24 → 1.39, 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 AAASalt Lake Bees · 28 IPFIP 6.32 → 6.90 (+0.58)K% 12.2% → 10.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	12.21%	—	×0.860	10.50%
BB% (unintentional) /BF	13.74%	—	×0.900	12.37%
HR / BF /BF	4.58%	÷0.886	×1.100	5.68%

Result: FIP 6.32 → 6.90, 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 ROKACL Angels · 7 IPFIP 0.19 → 1.12 (+0.93)K% 34.5% → 23.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.48%	—	×0.680	23.45%
BB% (unintentional) /BF	0.00%	—	×1.250	0.00%
HR / BF /BF	0.00%	÷0.895	×1.400	0.00%

Result: FIP 0.19 → 1.12, 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 AAASalt Lake Bees · 46 IPFIP 2.53 → 2.74 (+0.20)K% 26.3% → 22.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.34%	—	×0.860	22.66%
BB% (unintentional) /BF	10.75%	—	×0.900	9.68%
HR / BF /BF	0.54%	÷1.003	×1.100	0.59%

Result: FIP 2.53 → 2.74, 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 AARocket City Trash Pandas · 83 IPFIP 3.15 → 3.93 (+0.77)K% 34.4% → 27.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.38%	—	×0.810	27.84%
BB% (unintentional) /BF	8.44%	—	×1.100	9.28%
HR / BF /BF	3.44%	÷1.131	×1.200	3.65%

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 126).

Result: FIP 3.15 → 3.93, 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
Chase Silseth (OGILVIE)	—	—	4.05	28.0%	12.0%	2.6%	—	4.28	27.3%	15.0%	117	+0.23	—	—	—
Kiko Calero R 2003 · 3.54 FIP	28	SU	3.54	31.5%	11.1%	3.1%	.273	3.11	26.1%	18.9%	159	-0.43	2.27	298	74
Jordan Jankowski R 2016 · 2.95 FIP	27	SU	2.95	30.3%	9.8%	2.1%	.296	4.23	23.4%	8.8%	62	+1.28	2.57	196	74
Peyton Gray R 2021 · 4.27 FIP	26	SU	4.27	29.2%	14.1%	3.4%	.307	—	—	—	—	—	3.62	160	73
Zach Franklin R 2024 · 3.24 FIP	25	SU	3.24	26.4%	10.9%	1.8%	.301	4.15	27.5%	18.3%	117	+0.91	3.24	158	73
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	73
Ryan Garton R 2017 · 3.67 FIP	27	SU	3.67	25.2%	11.3%	2.3%	.252	4.15	23.5%	10.8%	108	+0.48	3.14	307	73
Trent Harris R 2024 · 3.45 FIP	25	SU	3.45	26.9%	9.5%	2.6%	.258	3.36	24.7%	16.7%	121	-0.09	3.06	198	73
Jacob Bosiokovic R 2021 · 3.93 FIP	27	SU	3.93	26.4%	14.3%	2.3%	.274	4.80	21.7%	10.2%	69	+0.87	3.84	181	73
Jake Barrett R 2018 · 3.31 FIP	27	SU	3.31	26.1%	13.0%	1.4%	.266	1.48	29.8%	22.7%	15	-1.83	1.48	230	72
Cristofer Ogando R 2021 · 4.83 FIP	27	SU	4.83	26.8%	10.9%	4.8%	.281	4.90	20.6%	9.0%	53	+0.07	3.23	179	72
Simon Castro R 2015 · 3.28 FIP	27	SU	3.28	26.4%	8.5%	2.4%	.320	3.58	26.0%	17.6%	128	+0.30	3.01	185	72
Collin Baumgartner R 2024 · 2.99 FIP	25	SU	2.99	26.1%	11.5%	1.2%	.280	4.13	22.6%	8.4%	77	+1.14	2.99	134	71
Jon Edwards R 2015 · 3.40 FIP	27	SU	3.40	31.7%	13.1%	2.4%	.264	2.40	30.3%	22.6%	30	-1.00	2.40	132	71
Dylan King R 2022 · 3.78 FIP	25	SW	3.78	26.7%	9.8%	3.1%	.266	—	—	—	—	—	3.78	121	71
Seth Simmons R 2015 · 3.07 FIP	27	SU	3.07	23.8%	9.7%	1.4%	.277	4.87	16.6%	7.6%	175	+1.80	3.07	251	71
Kyle Barraclough R 2017 · 3.42 FIP	27	SU	3.42	26.6%	12.2%	1.8%	.282	4.99	24.5%	12.2%	89	+1.57	1.95	523	71
Jose Veras R 2008 · 3.67 FIP	27	SU	3.67	24.9%	9.1%	2.8%	.281	4.10	23.8%	11.7%	169	+0.43	3.37	422	71
Austin Ross R 2016 · 3.81 FIP	27	SU	3.81	22.9%	8.0%	3.0%	.295	3.67	12.4%	5.2%	127	-0.14	3.16	269	71
Ryan Brasier R 2016 · 3.68 FIP	28	SU	3.68	25.0%	7.7%	3.1%	.289	3.09	24.2%	17.9%	130	-0.59	2.31	426	71
Blake Smith R 2015 · 3.17 FIP	27	SU	3.17	23.3%	10.5%	1.3%	.290	3.59	22.4%	13.8%	71	+0.42	3.17	124	71

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	1.7	48	26.4%	12.0%	1.24	4.20
Mac Scarce ('72-'78, 1 WAR*)	1.0	52	25.9%*	12.4%*	1.27*	4.17*
Tony Cingrani ('18)	1.7	56	25.8%	11.3%	1.26	4.01
David Aardsma ('15)	1.7	48	23.1%	12.4%	1.09	4.27
Brandon Workman ('21)	1.6	55	24.3%	11.1%	1.04	4.02
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Alberto Reyes ('95-'08, 5 WAR*)	2.1	54	27.1%*	10.2%*	1.18*	3.66*