Jordan Jackson

P Everett AquaSox

Age 28 RHP 6'6" / 204 lbs A+

Overview

A+PROSPECT

ETA2029MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	25	ROKSEA	3	1	1	27.00	1.60	36.4%	18.2%	—	K 36.4% · BB 18.2% · FIP 2.33
2025	26	A+SEA	31	0	42	6.86	5.17	17.5%	11.0%	—	K 13.5% · BB 12.7% · FIP 5.88
2027PROJ	28	MLBSEA	—	—	0	5.87	5.87	13.2%	14.2%	—
2028PROJ30% MLB	29	MLBSEA	11	0	12	5.79	5.84	14.0%	13.9%	-0.2
2029PROJ51% MLB	30	MLBSEA	16	0	17	5.82	5.91	14.3%	13.9%	-0.3

Next 3 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff30Control40Command30

CompsAlex Caldera (age 29) · Dennis O'Grady (age 26) · Luis Niebla (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 145137vR 128

ERA5.87

FIP5.87

K%13.2%

BB%14.2%

K-BB%-1.0%

Proj IP59

Value2027 · WAR

Runs saved vs league avg · 59 IP

Grades · Contract

Scouting Grades

STUF3030

CTRL4040

CMD3030

K†3030

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)
2022	23	MIX MLE	2 levels	26	23	119	518	116	43	9	88%	4.6	16.8%	9.7%	7.1%	2.2%	4.08	4.15	—
2022	23	MIX RAW	2 levels	26	23	119	518	116	43	9	88%	4.6	22.4%	8.3%	14.1%	1.7%	4.08	3.22	—
2023	24	A+ MLE	Everett AquaSox	12	11	32	154	25	13	4	92%	2.7	12.5%	9.7%	2.8%	3.2%	6.75	5.03	—
2023	24	A+ RAW	Everett AquaSox	12	11	32	154	25	13	4	92%	2.7	16.2%	8.4%	7.8%	2.6%	6.75	4.38	—
2024	25	ROK MLE	ACL Mariners	3	1	1	11	4	2	0	33%	0.4	36.4%	18.2%	18.2%	0.0%	27.00	2.33	—
2024	25	ROK MLE	ACL Mariners	3	1	1	11	4	2	0	33%	0.4	36.4%	18.2%	18.2%	0.0%	27.00	2.33	—
2024	25	ROK RAW	ACL Mariners	3	1	1	11	4	2	0	33%	0.4	36.4%	18.2%	18.2%	0.0%	27.00	1.60	—
2025	26	A+ MLE	Everett AquaSox	31	0	42	200	35	22	7	0%	1.4	13.5%	12.7%	0.8%	4.2%	6.86	5.88	—
2025	26	A+ MLE	Everett AquaSox	31	0	42	200	35	22	7	0%	1.4	13.5%	12.7%	0.8%	4.2%	6.86	5.88	—
2025	26	A+ RAW	Everett AquaSox	31	0	42	200	35	22	7	0%	1.4	17.5%	11.0%	6.5%	3.5%	6.86	5.17	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	SEA	—	—	0	—	—	—	—	—	—	13.2%	14.2%	-1.0%	3.1%	5.87	5.87	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	SEA	39	0	41	172	24	24	6	0%	1.0	14.0%	13.9%	0.0%	3.2%	5.79	5.84	-0.6
2029	30	MLB MLE	SEA	31	0	33	139	20	19	5	0%	1.1	14.3%	13.9%	0.4%	3.4%	5.82	5.91	-0.5
2028	29	MLB CTX	SEA	11	0	12	51	7	7	2	0%	1.1	14.0%	13.9%	0.0%	3.2%	5.79	5.84	-0.2
2029	30	MLB CTX	SEA	16	0	17	72	10	10	2	0%	1.1	14.3%	13.9%	0.4%	3.4%	5.82	5.91	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		28	0	29	123	17	17	4	0%	1.0	14.2%	13.9%	0.3%	3.3%	5.81	5.50	-0.3
/ 200 IP	—	RAW		190	0	200	844	117	117	28	0%	1.1	14.2%	13.9%	0.3%	3.3%	5.81	5.50	-2.2
Career	—	MLE		72	35	194	883	137	92	25	49%	2.7	15.5%	10.5%	5.1%	2.8%	5.28	4.67	-1.1
/ 200 IP	—	MLE		74	36	200	909	141	95	26	49%	2.7	15.5%	10.5%	5.1%	2.8%	5.28	4.67	-3.0

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 A+Everett AquaSox · 42 IPFIP 4.94 → 5.88 (+0.94)K% 17.5% → 13.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.50%	—	×0.770	13.47%
BB% (unintentional) /BF	11.00%	—	×1.150	12.65%
HR / BF /BF	3.50%	÷1.036	×1.250	4.22%

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 107).

Result: FIP 4.94 → 5.88, 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 A+Everett AquaSox · 32 IPFIP 4.22 → 5.03 (+0.81)K% 16.2% → 12.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.23%	—	×0.770	12.50%
BB% (unintentional) /BF	8.44%	—	×1.150	9.71%
HR / BF /BF	2.60%	÷1.012	×1.250	3.21%

Result: FIP 4.22 → 5.03, 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 AModesto Nuts · 76 IPFIP 2.82 → 3.96 (+1.14)K% 24.5% → 18.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.47%	—	×0.740	18.11%
BB% (unintentional) /BF	7.55%	—	×1.180	8.91%
HR / BF /BF	1.51%	÷0.855	×1.300	2.30%

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 71).

Result: FIP 2.82 → 3.96, 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 A+Everett AquaSox · 43 IPFIP 3.91 → 4.47 (+0.56)K% 18.7% → 14.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.72%	—	×0.770	14.41%
BB% (unintentional) /BF	9.63%	—	×1.150	11.07%
HR / BF /BF	2.14%	÷1.237	×1.250	2.16%

Result: FIP 3.91 → 4.47, 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
Jordan Jackson (OGILVIE)	—	—	5.87	13.2%	14.2%	3.1%	—	5.87	14.1%	0.2%	74	+0.00	—	—	—
Alex Caldera R 2015 · 5.57 FIP	29	SW	5.57	10.4%	13.1%	3.1%	.333	4.54	11.9%	0.8%	84	-1.03	4.54	120	80
Dennis O'Grady R 2015 · 4.95 FIP	26	SW	4.95	13.5%	11.0%	2.9%	.339	—	—	—	—	—	3.62	157	80
Luis Niebla R 2017 · 5.12 FIP	26	SP-	5.12	11.6%	13.2%	2.4%	.336	—	—	—	—	—	3.37	156	76
Chris Jensen R 2018 · 5.31 FIP	27	SW	5.31	12.0%	10.6%	3.4%	.347	—	—	—	—	—	4.47	488	73
Brad Allen R 2016 · 5.82 FIP	27	SW	5.82	14.7%	13.2%	4.2%	.272	—	—	—	—	—	4.25	149	72
Aldo Montes R 2017 · 4.96 FIP	27	SP-	4.96	12.4%	8.5%	3.3%	.322	4.69	18.2%	7.6%	75	-0.27	4.69	210	71
Victor Mateo R 2016 · 5.45 FIP	27	SW	5.45	10.2%	12.2%	3.0%	.370	—	—	—	—	—	4.32	199	71
Josh Roeder R 2019 · 4.71 FIP	26	SW	4.71	15.1%	8.7%	3.3%	.264	—	—	—	—	—	4.71	175	71
Mike Connolly R 2018 · 5.13 FIP	26	SW	5.13	13.2%	9.4%	3.5%	.321	—	—	—	—	—	3.94	328	71
Mike McCarthy R 2016 · 5.03 FIP	28	SW	5.03	6.2%	9.7%	2.2%	.305	—	—	—	—	—	4.78	153	70
Jason García R 2021 · 4.76 FIP	28	SP-	4.76	17.7%	13.5%	2.6%	.349	—	—	—	—	—	4.16	356	70
Drake Fellows R 2024 · 4.97 FIP	26	SP-	4.97	16.1%	12.7%	2.9%	.293	4.85	14.2%	6.3%	207	-0.12	4.28	282	69
Todd Wellemeyer R 2007 · 4.74 FIP	28	SW	4.74	17.0%	10.8%	3.1%	.270	4.86	15.5%	6.4%	373	+0.12	3.35	615	69
Eddie Bonine R 2009 · 5.60 FIP	28	SW	5.60	13.1%	7.6%	4.8%	.306	4.54	8.6%	2.0%	68	-1.06	4.40	129	68
Juan Paniagua R 2017 · 4.75 FIP	27	SW	4.75	12.9%	13.9%	1.8%	.375	—	—	—	—	—	4.57	151	68
Jake Walters R 2023 · 5.85 FIP	27	SW	5.85	15.2%	13.9%	4.2%	.254	—	—	—	—	—	3.51	261	68
Bradin Hagens R 2018 · 4.92 FIP	29	SP-	4.92	14.9%	9.9%	3.3%	.341	5.46	13.2%	0.6%	66	+0.54	3.79	254	68
Clay Condrey R 2003 · 5.41 FIP	27	SP-	5.41	14.9%	10.1%	4.2%	.303	4.07	13.1%	7.4%	29	-1.34	3.18	250	68
Hunter Adkins R 2017 · 4.82 FIP	26	SW	4.82	11.8%	11.3%	2.3%	.285	—	—	—	—	—	4.64	160	67
Nelson Figueroa R 2002 · 5.41 FIP	28	SW	5.41	12.4%	7.5%	4.4%	.250	5.52	12.5%	4.6%	64	+0.11	3.71	499	67

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	0.7	44	13.7%	14.0%	1.25	5.83
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Matt Anderson ('05)	1.3	51	19.3%	13.5%	1.05	5.19
Matt Perisho ('05)	1.4	69	15.2%	12.2%	1.37	6.39
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*