Alex Wood

PosP

B/TR/L

Born1991-01-12

Age (2027)36

No MLB projection yet. Career stats below are historical.

Overview

MLBSPExtFA 2028

Pitching

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	31	MLBSF	26	26	131	5.10	3.45	23.6%	5.2%	3.1
2023	32	MIX2 levels	31	14	104	4.23	4.00	16.6%	9.4%	0.7	K 17.2% · BB 9.8% · FIP 4.13
2024	33	MLBOakland Athle…	9	9	39	5.26	4.78	17.7%	9.7%	0.3
2025	34	No MLB games played
2026	35	No MLB games played
2027PROJ	36	MLBOAK	24	24	142	4.54	4.53	21.3%	9.3%	1.4
2028PROJ	37	MLBOAK	16	16	99	4.72	4.88	20.2%	9.9%	0.5
2029PROJ	38	MLBOAK	12	12	71	5.08	5.31	19.1%	10.6%	0.0

Last 3 seasons WAR 4.1 · Next 3 projected WAR 2.0Projected rows: MLB playing time only, park and league context applied.

Hitting

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2017	26	MLBLAD	58	.058/.093/.058	0	0	-65	-1.0
2018	27	MLBLAD	50	.045/.045/.045	0	1	-89	-1.0
2021	30	MLBSF	47	.000/.116/.000	0	0	-64	-0.9
2022	31	No MLB games played
2023	32	No MLB games played
2024	33	No MLB games played
2025	34	No MLB games played
2026	35	No MLB games played

Last 3 seasons WAR -2.9

ContractESTIMATED

Control thru2027Service14.000First FA2028

2027Ext$10M

CompsJuan Antonio Pena (age 37) · Tsuyoshi Wada (age 34) · Mauricio Lara (age 36)

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)
2013	22	MLB MLE	Atlanta Braves	31	11	78	327	77	26	3	35%	2.5	23.5%	8.0%	15.6%	1.0%	3.13	2.66	+1.8
2013	22	MLB RAW	Atlanta Braves	31	11	78	327	77	26	3	35%	2.5	23.5%	8.0%	15.6%	0.9%	3.13	2.62	+1.8
2014	23	MLB MLE	Atlanta Braves	35	24	172	694	170	44	16	69%	4.9	24.5%	6.3%	18.2%	2.5%	2.78	3.20	+4.7
2014	23	MLB RAW	Atlanta Braves	35	24	172	694	170	44	16	69%	4.9	24.5%	6.3%	18.2%	2.3%	2.78	3.10	+4.9
2015	24	MLB MLE	Los Angeles Dodgers	32	32	190	801	139	55	15	100%	5.9	17.4%	6.9%	10.5%	1.8%	3.84	3.49	+4.4
2015	24	MLB RAW	Los Angeles Dodgers	32	32	190	801	139	55	15	100%	5.9	17.4%	6.9%	10.5%	1.9%	3.84	3.53	+4.3
2016	25	MLB MLE	Los Angeles Dodgers	14	10	60	255	66	20	5	71%	4.3	25.9%	7.8%	18.0%	1.9%	3.73	2.94	+1.8
2016	25	MLB RAW	Los Angeles Dodgers	14	10	60	255	66	20	5	71%	4.3	25.9%	7.8%	18.0%	2.0%	3.73	2.98	+1.8
2017	26	MLB MLE	Los Angeles Dodgers	27	25	152	614	151	32	15	93%	5.6	24.6%	5.2%	19.4%	2.3%	2.72	2.97	+4.7
2017	26	MLB RAW	Los Angeles Dodgers	27	25	152	614	151	32	15	93%	5.6	24.6%	5.2%	19.4%	2.4%	2.72	3.03	+4.5
2018	27	MLB MLE	Los Angeles Dodgers	33	27	152	637	135	35	14	82%	4.6	21.2%	5.5%	15.7%	2.1%	3.68	3.16	+4.2
2018	27	MLB RAW	Los Angeles Dodgers	33	27	152	637	135	35	14	82%	4.6	21.2%	5.5%	15.7%	2.2%	3.68	3.21	+4.1
2019	28	MIX MLE	3 levels	11	11	47	201	41	11	11	100%	4.3	19.6%	5.9%	13.7%	6.7%	5.17	5.84	-0.2
2019	28	MIX RAW	3 levels	11	11	47	201	41	11	11	100%	4.3	20.4%	5.5%	14.9%	5.5%	5.17	5.10	+0.2
2020	29	MLB MLE	Los Angeles Dodgers	9	2	13	65	15	5	2	22%	1.4	23.1%	7.7%	15.4%	3.0%	6.39	3.75	+0.1
2020	29	MLB RAW	Los Angeles Dodgers	9	2	13	65	15	5	2	22%	1.4	23.1%	7.7%	15.4%	3.1%	6.39	3.97	+0.1
2021	30	MLB MLE	San Francisco Giants	26	26	139	585	152	38	14	100%	5.3	26.0%	6.5%	19.5%	2.6%	3.83	3.15	+3.9
2021	30	MLB RAW	San Francisco Giants	26	26	139	585	152	38	14	100%	5.3	26.0%	6.5%	19.5%	2.4%	3.83	3.04	+4.1
2022	31	MLB MLE	San Francisco Giants	26	26	131	555	131	29	17	100%	5.0	23.6%	5.2%	18.4%	3.3%	5.10	3.59	+2.9
2022	31	MLB RAW	San Francisco Giants	26	26	131	555	131	29	17	100%	5.0	23.6%	5.2%	18.4%	3.1%	5.10	3.45	+3.1
2023	32	MIX MLE	2 levels	31	14	104	457	76	43	9	45%	3.4	17.2%	9.8%	7.5%	2.3%	4.23	4.13	+0.5
2023	32	MIX RAW	2 levels	31	14	104	457	76	43	9	45%	3.4	16.6%	9.4%	7.2%	2.0%	4.23	4.00	+0.7
2024	33	MLB MLE	Oakland Athletics	9	9	39	186	33	18	6	100%	4.4	17.7%	9.7%	8.1%	3.5%	5.26	4.77	+0.3
2024	33	MLB MLE	Oakland Athletics	9	9	39	186	33	18	6	100%	4.4	17.7%	9.7%	8.1%	3.5%	5.26	4.77	+0.3
2024	33	MLB RAW	Oakland Athletics	9	9	39	186	33	18	6	100%	4.4	17.7%	9.7%	8.1%	3.2%	5.26	4.78	+0.3
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			278	211	1258	5301	1173	353	127	76%	4.5	22.1%	6.7%	15.5%	2.4%	3.78	3.39	+30.8
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	36	MLB	OAK	24	24	142	600	128	56	18	100%	5.9	21.3%	9.3%	12.0%	3.0%	4.54	4.53	+1.4
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	37	MLB MLE	OAK	16	16	99	417	84	41	14	100%	6.2	20.2%	9.9%	10.3%	3.5%	4.77	4.93	+0.5
2029	38	MLB MLE	OAK	12	12	71	301	57	32	12	100%	5.9	19.1%	10.6%	8.4%	3.9%	5.13	5.36	+0.0
2028	37	MLB CTX	OAK	16	16	99	418	84	42	14	100%	6.2	20.2%	9.9%	10.3%	3.4%	4.72	4.88	+0.5
2029	38	MLB CTX	OAK	12	12	71	300	57	32	11	100%	5.9	19.1%	10.6%	8.4%	3.8%	5.08	5.31	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		306	239	1428	6019	1315	426	153	78%	4.7	21.8%	7.1%	14.8%	2.5%	3.91	3.54	+32.1
/ 200 IP	—	RAW		43	34	200	843	184	60	21	78%	4.7	21.8%	7.1%	14.8%	2.5%	3.91	3.54	+4.5
Career	—	MLE		284	217	1276	5377	1187	359	133	76%	4.5	22.1%	6.7%	15.4%	2.5%	3.77	3.44	+31.2
/ 200 IP	—	MLE		45	34	200	843	186	56	21	76%	4.5	22.1%	6.7%	15.4%	2.5%	3.77	3.44	+4.4

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.

2023 AAASacramento River Cats · 7 IPFIP 2.95 → 2.99 (+0.04)K% 7.1% → 6.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	7.14%	—	×0.860	6.14%
BB% (unintentional) /BF	3.57%	—	×0.900	3.21%
HR / BF /BF	0.00%	÷1.057	×1.100	0.00%

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 111).

Result: FIP 2.95 → 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).

2019 AAALouisville Bats · 5 IPFIP 1.80 → 2.12 (+0.32)K% 26.9% → 23.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.92%	—	×0.880	23.69%
BB% (unintentional) /BF	7.69%	—	×1.050	8.08%
HR / BF /BF	0.00%	÷0.957	×1.100	0.00%

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 91).

Result: FIP 1.80 → 2.12, 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).

2019 AAChattanooga Lookouts · 6 IPFIP 1.56 → 1.86 (+0.29)K% 18.2% → 14.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.18%	—	×0.810	14.73%
BB% (unintentional) /BF	0.00%	—	×1.100	0.00%
HR / BF /BF	0.00%	÷0.979	×1.200	0.00%

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 96).

Result: FIP 1.56 → 1.86, 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
Alex Wood (OGILVIE)	—	—	—	—	—	3.0%	—	5.11	19.7%	9.5%	170	+0.58	—	—	—
Juan Antonio Pena L 2015 · 4.20 FIP	37	SP-	4.20	13.6%	9.9%	1.8%	.287	—	—	—	—	—	4.20	149	68
Tsuyoshi Wada L 2015 · 3.66 FIP	34	SP	3.66	16.8%	7.1%	2.0%	.307	—	—	—	—	—	3.60	188	66
Mauricio Lara L 2015 · 3.62 FIP	36	SP	3.62	13.9%	6.9%	1.5%	.310	3.69	12.1%	5.1%	220	+0.07	3.62	444	63
Arturo Lopez L 2019 · 5.46 FIP	36	SP	5.46	12.2%	6.8%	4.6%	.320	—	—	—	—	—	4.34	445	59
Marlon Arias L 2019 · 4.83 FIP	34	SP	4.83	19.8%	11.2%	3.6%	.273	—	—	—	—	—	3.73	154	58
Francisley Bueno L 2017 · 4.44 FIP	36	SP	4.44	11.7%	8.4%	2.3%	.351	—	—	—	—	—	2.43	188	54
Jason Lane L 2015 · 5.56 FIP	38	SP	5.56	8.4%	6.2%	4.3%	.307	—	—	—	—	—	5.56	164	50
Jorge Castillo L 2017 · 4.97 FIP	35	SP	4.97	11.2%	6.7%	3.6%	.337	4.91	19.6%	11.5%	119	-0.06	4.50	408	47
Chris Michalak L 2006 · 5.71 FIP	35	SP-	5.71	6.2%	8.6%	3.7%	.273	—	—	—	—	—	4.71	186	42
Jarrett Grube R 2017 · 4.41 FIP	35	SP	4.41	15.8%	8.1%	3.0%	.296	—	—	—	—	—	3.75	393	35
Austin Bibens-Dirkx R 2021 · 4.20 FIP	36	SP-	4.20	15.8%	5.6%	3.1%	.333	—	—	—	—	—	3.97	567	35
Jesse Estrada R 2019 · 4.34 FIP	35	SP-	4.34	14.4%	6.6%	2.9%	.312	—	—	—	—	—	3.80	257	34
Chris Smith R 2017 · 5.08 FIP	36	SP-	5.08	15.6%	7.5%	4.3%	.286	—	—	—	—	—	3.79	477	33
Yasutomo Kubo R 2019 · 3.98 FIP	38	SP	3.98	20.4%	4.7%	3.6%	.327	—	—	—	—	—	3.98	152	33
Frankie De La Cruz R 2019 · 4.38 FIP	35	SP-	4.38	16.2%	8.0%	3.0%	.322	—	—	—	—	—	2.87	262	33
Jorge Martinez R 2019 · 3.71 FIP	34	SP	3.71	16.3%	5.7%	2.3%	.348	—	—	—	—	—	3.53	214	32
Yoanner Negrin R 2019 · 3.87 FIP	35	SP	3.87	17.5%	8.1%	2.2%	.280	—	—	—	—	—	3.15	485	32
David Buchanan R 2024 · 4.26 FIP	35	SP-	4.26	14.7%	6.5%	2.9%	.337	5.56	12.2%	4.1%	29	+1.30	3.88	560	32
Walter Silva R 2015 · 4.15 FIP	38	SP	4.15	14.8%	7.4%	2.5%	.311	3.91	10.4%	3.7%	209	-0.24	3.67	453	31
Kenshin Kawakami R 2010 · 4.06 FIP	35	SP	4.06	15.1%	5.6%	2.8%	.293	—	—	—	—	—	3.97	244	30

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	7.8	112	21.8%	7.6%	1.00	3.98
Garrett Richards ('22)	4.9	98	20.4%	8.7%	0.85	3.87
Storm Davis ('82-'94, 18 WAR*)	8.9	137	19.1%*	8.8%*	0.86*	4.30*
Bruce Kison ('71-'85, 16 WAR*)	9.0	121	20.4%*	8.5%*	1.10*	4.16*
Jeff Samardzija ('20)	8.2	150	21.0%	7.1%	1.12	4.15
Jhoulys Chacín ('22)	7.2	120	18.7%	9.5%	0.98	4.18
Bob Moose ('67-'76, 14 WAR*)	6.5	145	20.0%*	7.0%*	0.80*	4.31*

Alex Wood

Career Stats + Projections

How the minor-league lines were translated

Career Path Comps

Career Comps