Touki Toussaint

P Salt Lake Bees

Age 31 RHP 6'3" / 215 lbs AAA

Overview

AAARP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	27	MIX2 levels	40	17	125	4.69	4.25	24.5%	14.7%	0.4	K 23.3% · BB 14.3% · FIP 4.26
2024	28	MIX2 levels	30	10	78	6.43	4.62	22.0%	16.0%	-0.1	K 19.9% · BB 14.9% · FIP 4.51
2025	29	MIX2 levels	25	4	71	7.39	5.25	22.1%	15.6%	-0.6	K 18.8% · BB 14.2% · FIP 5.35
2026	30	No MLB games played
2027PROJ	31	MLBLAA	3	3	16	5.00	5.25	19.9%	14.0%	0.0
2028PROJ37% MLB	32	MLBLAA	7	7	42	5.30	5.51	19.1%	14.3%	-0.1
2029PROJ55% MLB	33	MLBLAA	8	8	49	5.59	5.79	18.3%	14.8%	-0.2

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

Contract

No contract data on file.

Skills · percentileStatcast 2024

K%50

FB Velo10

xwOBA vs10

CompsScott Copeland (age 31) · Hisashi Iwakuma (age 31) · Scott McGregor (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 133125vR 117

ERA5.00

FIP5.25

K%19.9%

BB%14.0%

K-BB%6.0%

Proj IP165

Value2027 · WAR

Runs saved vs league avg · 165 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p1091.6

Whiff%

p6427.5%

p5022.2%

xwOBA vs

p100.364

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)
2015	19	A MLE	Rome Braves	17	17	88	376	67	48	10	100%	5.2	13.2%	15.1%	-1.9%	3.2%	4.83	5.62	—
2015	19	A RAW	Rome Braves	17	17	88	376	67	48	10	100%	5.2	17.8%	12.8%	5.1%	2.7%	4.83	4.70	—
2016	20	A MLE	Rome Braves	27	24	132	571	128	71	13	89%	4.9	16.6%	14.7%	1.9%	3.1%	3.88	5.24	—
2016	20	A RAW	Rome Braves	27	24	132	571	128	71	13	89%	4.9	22.4%	12.4%	10.0%	2.3%	3.88	4.05	—
2017	21	MIX MLE	2 levels	26	26	145	637	167	60	11	100%	5.6	20.5%	10.7%	9.8%	2.3%	4.53	3.99	—
2017	21	MIX RAW	2 levels	26	26	145	637	167	60	11	100%	5.6	26.2%	9.4%	16.8%	1.7%	4.53	3.02	—
2018	22	MIX MLE	3 levels	31	29	165	687	195	72	8	94%	5.3	24.4%	11.1%	13.3%	1.5%	2.67	3.27	+4.3
2018	22	MIX RAW	3 levels	31	29	165	687	195	72	8	94%	5.3	28.4%	10.5%	17.9%	1.2%	2.67	2.68	+5.7
2019	23	MIX MLE	2 levels	34	11	81	399	89	52	10	32%	2.4	21.0%	13.4%	7.6%	2.8%	6.53	4.55	-0.0
2019	23	MIX RAW	2 levels	34	11	81	399	89	52	10	32%	2.4	22.3%	13.0%	9.3%	2.5%	6.53	4.43	+0.1
2020	24	MLB MLE	Atlanta Braves	7	5	24	120	30	16	7	71%	3.5	25.0%	13.3%	11.7%	5.8%	8.88	5.88	-0.1
2020	24	MLB RAW	Atlanta Braves	7	5	24	120	30	16	7	71%	3.5	25.0%	13.3%	11.7%	5.8%	8.88	6.35	-0.3
2021	25	MIX MLE	4 levels	20	16	77	325	82	36	13	80%	3.9	24.2%	11.2%	13.0%	4.0%	4.19	4.69	+0.6
2021	25	MIX RAW	4 levels	20	16	77	325	82	36	13	80%	3.9	25.2%	11.1%	14.2%	4.0%	4.19	4.56	+0.8
2022	26	MIX MLE	2 levels	30	13	81	363	88	55	12	43%	2.7	22.2%	15.6%	6.5%	3.6%	5.36	5.21	-0.6
2022	26	MIX RAW	2 levels	30	13	81	363	88	55	12	43%	2.7	24.2%	15.2%	9.1%	3.3%	5.36	4.90	-0.3
2023	27	MIX MLE	2 levels	40	17	125	543	133	80	13	42%	3.1	23.3%	14.3%	8.9%	2.4%	4.69	4.26	+0.4
2023	27	MIX RAW	2 levels	40	17	125	543	133	80	13	42%	3.1	24.5%	14.7%	9.8%	2.4%	4.69	4.25	+0.4
2024	28	MIX MLE	2 levels	30	10	78	381	84	61	8	33%	2.6	19.9%	14.9%	5.0%	2.2%	6.43	4.51	+0.0
2024	28	MIX MLE	2 levels	30	10	78	381	84	61	8	33%	2.6	19.9%	14.9%	5.0%	2.2%	6.43	4.51	+0.0
2024	28	MIX RAW	2 levels	30	10	78	381	84	61	8	33%	2.6	22.0%	16.0%	6.0%	2.1%	6.43	4.62	-0.1
2025	29	MIX MLE	2 levels	25	4	71	340	75	53	11	16%	2.8	18.8%	14.2%	4.6%	3.7%	7.39	5.35	-0.7
2025	29	MIX MLE	2 levels	25	4	71	340	75	53	11	16%	2.8	18.8%	14.2%	4.6%	3.7%	7.39	5.35	-0.7
2025	29	MIX RAW	2 levels	25	4	71	340	75	53	11	16%	2.8	22.1%	15.6%	6.5%	3.2%	7.39	5.25	-0.6
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			89	39	282	1277	295	176	39	44%	3.2	23.1%	13.8%	9.3%	3.1%	5.42	4.68	-0.4
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	31	MLB	LAA	3	3	16	68	13	9	2	100%	5.3	19.9%	14.0%	6.0%	3.1%	5.00	5.25	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	32	MLB MLE	LAA	18	18	113	479	92	69	16	100%	6.3	19.1%	14.3%	4.8%	3.3%	5.30	5.51	-0.1
2029	33	MLB MLE	LAA	14	14	88	372	68	55	13	100%	6.3	18.3%	14.8%	3.5%	3.6%	5.59	5.79	-0.4
2028	32	MLB CTX	LAA	7	7	42	177	34	25	6	100%	6.0	19.1%	14.3%	4.8%	3.3%	5.30	5.51	-0.1
2029	33	MLB CTX	LAA	8	8	49	207	38	31	7	100%	6.1	18.3%	14.8%	3.5%	3.6%	5.59	5.79	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		104	54	373	1658	366	232	52	52%	3.6	22.1%	14.0%	8.1%	3.2%	5.43	4.73	+2.9
/ 200 IP	—	RAW		56	29	200	890	196	125	28	52%	3.6	22.1%	14.0%	8.1%	3.2%	5.43	4.73	+1.5
Career	—	MLE		287	172	1068	4742	982	630	133	60%	3.7	20.7%	13.3%	7.4%	2.8%	4.82	4.57	+1.8
/ 200 IP	—	MLE		54	32	200	888	184	118	25	60%	3.7	20.7%	13.3%	7.4%	2.8%	4.82	4.57	+0.7

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 · 69 IPFIP 5.09 → 5.35 (+0.26)K% 21.9% → 18.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.88%	—	×0.860	18.82%
BB% (unintentional) /BF	15.81%	—	×0.900	14.22%
HR / BF /BF	3.34%	÷0.989	×1.100	3.72%

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 5.09 → 5.35, 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 AAACharlotte Knights · 55 IPFIP 4.35 → 4.49 (+0.14)K% 22.0% → 18.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.97%	—	×0.860	18.89%
BB% (unintentional) /BF	16.29%	—	×0.900	14.66%
HR / BF /BF	1.89%	÷1.016	×1.100	2.05%

Result: FIP 4.35 → 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).

2023 AAAColumbus Clippers · 38 IPFIP 3.42 → 3.66 (+0.24)K% 30.2% → 26.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.19%	—	×0.860	25.96%
BB% (unintentional) /BF	14.47%	—	×0.900	13.02%
HR / BF /BF	1.89%	÷1.037	×1.100	2.00%

Result: FIP 3.42 → 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).

2022 AAASalt Lake Bees · 55 IPFIP 4.99 → 5.59 (+0.60)K% 24.3% → 21.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.31%	—	×0.880	21.40%
BB% (unintentional) /BF	14.12%	—	×1.050	14.82%
HR / BF /BF	3.92%	÷0.978	×1.100	4.41%

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 96).

Result: FIP 4.99 → 5.59, 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 AAAGwinnett Stripers · 21 IPFIP 2.75 → 3.24 (+0.49)K% 33.3% → 29.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.33%	—	×0.880	29.33%
BB% (unintentional) /BF	14.29%	—	×1.050	15.00%
HR / BF /BF	1.19%	÷1.001	×1.100	1.31%

Result: FIP 2.75 → 3.24, 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).

2019 AAAGwinnett Stripers · 40 IPFIP 4.38 → 5.00 (+0.61)K% 21.9% → 19.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.89%	—	×0.880	19.26%
BB% (unintentional) /BF	13.93%	—	×1.050	14.63%
HR / BF /BF	2.49%	÷0.899	×1.100	3.04%

Result: FIP 4.38 → 5.00, 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 AAMississippi Braves · 86 IPFIP 2.89 → 3.84 (+0.95)K% 29.3% → 23.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.32%	—	×0.810	23.75%
BB% (unintentional) /BF	9.59%	—	×1.100	10.55%
HR / BF /BF	1.92%	÷0.897	×1.200	2.57%

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 79).

Result: FIP 2.89 → 3.84, 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 AAAGwinnett Stripers · 50 IPFIP 1.81 → 2.15 (+0.34)K% 28.1% → 24.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.14%	—	×0.880	24.76%
BB% (unintentional) /BF	8.54%	—	×1.050	8.97%
HR / BF /BF	0.00%	÷0.970	×1.100	0.00%

Result: FIP 1.81 → 2.15, 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
Touki Toussaint (OGILVIE)	—	—	—	—	—	3.1%	—	5.63	18.7%	4.2%	201	+0.38	—	—	—
Scott Copeland R 2019 · 5.62 FIP	31	SP-	5.62	17.1%	12.4%	4.4%	.311	—	—	—	—	—	3.55	569	63
Hisashi Iwakuma R 2012 · 4.28 FIP	31	SP-	4.28	19.5%	7.7%	3.4%	.277	3.45	21.5%	17.8%	528	-0.83	3.19	884	59
Scott McGregor R 2015 · 4.37 FIP	28	SP-	4.37	11.8%	7.6%	2.4%	.293	—	—	—	—	—	4.37	107	55
Nate Long R 2015 · 4.67 FIP	29	SP	4.67	14.8%	10.6%	2.7%	.285	—	—	—	—	—	4.67	151	55
Pete Walker R 2002 · 4.59 FIP	33	SP-	4.59	13.4%	7.7%	3.0%	.279	5.16	12.0%	2.8%	139	+0.57	4.45	327	54
Hector Galvan R 2019 · 4.84 FIP	31	SP-	4.84	14.3%	12.2%	2.6%	.357	—	—	—	—	—	3.59	406	53
Joe Biagini R 2021 · 4.80 FIP	31	SP	4.80	18.0%	10.6%	3.4%	.309	4.53	16.4%	6.6%	39	-0.27	2.66	624	53
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	53
Kohei Arihara R 2022 · 4.58 FIP	29	SP-	4.58	16.4%	7.2%	3.5%	.333	—	—	—	—	—	4.58	135	50
Scott Richmond R 2009 · 5.11 FIP	29	SP	5.11	19.2%	9.5%	4.4%	.294	—	—	—	—	—	2.80	166	50
David Fletcher R 2024 · 5.67 FIP	30	SP-	5.67	7.5%	10.3%	3.5%	.294	—	—	—	—	—	5.67	100	50
Luke Farrell R 2022 · 4.87 FIP	31	SP-	4.87	17.8%	11.0%	3.4%	.289	4.85	17.3%	7.9%	55	-0.02	3.69	584	49
Shawn Haviland R 2017 · 5.00 FIP	31	SP-	5.00	16.3%	8.1%	4.1%	.261	—	—	—	—	—	3.69	283	49
Scott Carroll R 2016 · 4.94 FIP	31	SP	4.94	10.5%	8.6%	3.0%	.289	5.71	14.4%	5.8%	22	+0.77	3.92	377	48
Patrick Johnson R 2019 · 4.14 FIP	30	SP	4.14	15.7%	9.3%	2.2%	.344	—	—	—	—	—	3.82	248	48
Daniel Guerrero R 2016 · 4.81 FIP	31	SP	4.81	12.4%	11.6%	2.3%	.328	4.93	11.7%	2.0%	175	+0.12	4.61	269	48
Jason Berken R 2015 · 4.34 FIP	31	SW	4.34	13.5%	6.6%	2.8%	.315	4.54	11.5%	3.2%	106	+0.20	3.37	468	47
Yohan Pino R 2015 · 4.13 FIP	31	SP-	4.13	17.8%	5.8%	3.3%	.312	5.33	15.2%	11.6%	35	+1.20	3.84	193	47
Lucas Harrell R 2016 · 4.07 FIP	31	SP	4.07	15.7%	12.9%	1.2%	.310	3.57	16.2%	5.7%	30	-0.50	2.81	541	47
Alex Caldera R 2016 · 4.54 FIP	30	SP	4.54	11.9%	11.1%	1.9%	.280	—	—	—	—	—	4.54	120	46

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 927 starter careers (497 from 1990-2025 + 430 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	3.2	65	21.0%	14.2%	1.23	5.31
Frank Bertaina ('64-'70, -1 WAR*)	2.1	69	19.0%*	11.8%*	1.24*	5.03*
Blake Stein ('02)	2.4	95	17.4%	13.2%	1.48	5.41
Dan Warthen ('75-'78, 1 WAR*)	1.5	102	24.8%*	14.2%*	1.27*	4.86*
Vic Albury ('73-'76, 0 WAR*)	1.9	93	18.1%*	13.2%*	1.31*	4.60*
Paul Abbott ('04)	3.6	80	15.6%	12.3%	1.26	4.92
Mac Suzuki ('02)	2.3	93	15.4%	12.5%	1.29	5.72