Wills Maginnis

SS Salem RidgeYaks

Age 22 R/R A HR -5%K -4% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#1394ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2026	21	ABOS	81	.133/.358/.200	1	6	41	—	.125/.309/.188
2027PROJMLE	22	MLBBOS	191	.222/.313/.325	3	5	84	0.1
2028PROJ34% MLB	23	MLBBOS	38	.231/.320/.341	1	1	87	0.1
2029PROJ46% MLB	24	MLBBOS	85	.233/.321/.348	1	2	89	0.2

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

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A

Chase%98

Whiff%96

K%93

Z-Con%90

BB%86

Speed73

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 2% · didn't stick 94%

CompsJuan Mora (age 22) · Taylor Motter (age 22) · José Caballero (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 56 proj PA

wRC+†84

AVG/OBP/SLG.220 / .310 / .322

PA56

HR1

K%25

BB%9

ISO103

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$13M ctrl surplus

Tools · Contract

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2033	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2034	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2035	Arb-1	$1M	+0.2	$0.4M	+$0.0M (cut)
2036	Arb-2	$1M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$3M	+$1M

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 these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2026	21	A	Salem RidgeYaks	—	81	60	8	1	0	1	14	11	7	6	0	133	358	200	558	67	146	14	17	293	41	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	21	A MLE	Salem RidgeYaks	—	81	64	8	1	0	1	10	15	7	6	0	125	309	188	496	62	132	19	12	229	41	—	—	—	—	—	—
2026	21	A MLE	Salem RidgeYaks	—	81	64	8	1	0	1	10	15	7	6	0	125	309	188	496	62	146	19	12	229	41	—	—	—	—	—	—
2026	21	A RAW	Salem RidgeYaks	—	81	60	8	1	0	1	14	11	7	6	0	133	358	200	558	67	146	14	17	293	41	—	—	—	—	—	—
2026	21	A MLE	Salem RidgeYaks	—	81	64	8	1	0	1	10	15	7	6	0	125	309	188	496	62	132	19	12	229	41	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	21	A MLE	Salem RidgeYaks	—	81	64	8	1	0	1	10	15	7	6	0	125	309	188	496	62	132	19	12	229	41	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	BOS	0%	191	166	37	6	1	3	17	47	6	5	1	222	313	325	638	103	288	25	9	293	84	-4	+1	+0	+2	+4	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	BOS	34%	112	98	23	4	1	2	10	27	3	3	0	225	315	333	648	109	289	24	9	296	87	-2	+1	+0	+1	+2	0.2
2029	24	MLB MLE	BOS	46%	184	161	36	6	1	3	16	45	5	5	1	227	316	340	656	113	290	24	9	299	89	-2	+1	+0	+2	+4	0.4
2030	25	MLB MLE	BOS	52%	250	219	51	8	2	5	22	61	7	7	1	228	317	345	662	117	290	24	9	301	90	-3	+1	+0	+3	+5	0.6
2031	26	MLB MLE	BOS	54%	303	266	61	10	2	6	26	73	8	8	1	229	317	349	666	120	290	24	9	303	91	-3	+1	+0	+3	+7	0.8
2032	27	MLB MLE	BOS	54%	329	289	67	11	2	7	29	80	8	9	1	229	316	350	666	121	290	24	9	302	91	-4	+1	+0	+4	+7	0.9
2033	28	MLB MLE	BOS	54%	342	301	69	12	2	7	30	83	8	9	2	227	314	345	660	118	289	24	9	300	89	-4	+1	-1	+4	+7	0.7
2034	29	MLB MLE	BOS	53%	341	300	67	11	2	6	30	84	8	9	2	225	312	339	651	114	288	25	9	296	87	-5	+1	-1	+4	+7	0.5
2035	30	MLB MLE	BOS	52%	336	296	66	11	2	6	29	84	8	8	2	222	308	332	640	109	286	25	9	292	84	-7	+1	-2	+4	+7	0.3
2036	31	MLB MLE	BOS	52%	321	284	62	10	2	5	27	81	7	8	2	218	304	322	626	104	284	25	8	286	80	-8	+1	-3	+3	+7	0.1
2028	23	MLB CTX	BOS	34%	38	34	7	1	0	1	3	9	1	1	0	231	320	341	661	110	298	24	8	301	87	-1	+0	+0	+0	+1	0.1
2029	24	MLB CTX	BOS	46%	85	76	16	3	0	1	7	21	2	2	0	233	321	348	669	115	299	25	8	305	89	-1	+0	+0	+1	+2	0.2
2030	25	MLB CTX	BOS	52%	129	114	27	5	1	2	11	31	3	4	1	234	322	353	675	119	299	24	9	307	90	-2	+0	+0	+1	+3	0.3
2031	26	MLB CTX	BOS	54%	164	145	34	6	1	3	14	40	4	5	1	235	322	357	679	122	299	24	9	308	91	-2	+1	+0	+2	+4	0.4
2032	27	MLB CTX	BOS	54%	178	156	37	7	1	3	16	43	4	5	1	235	322	358	679	122	299	24	9	308	91	-2	+1	+0	+2	+4	0.4
2033	28	MLB CTX	BOS	54%	186	163	39	7	1	4	16	45	5	5	1	234	320	353	673	120	298	24	9	305	89	-2	+1	-0	+2	+4	0.4
2034	29	MLB CTX	BOS	53%	181	159	37	7	1	3	16	45	4	5	1	231	317	347	664	116	297	25	9	302	87	-3	+1	-1	+2	+4	0.3
2035	30	MLB CTX	BOS	52%	176	155	36	7	1	3	15	44	4	4	1	228	314	340	653	111	295	25	9	297	84	-3	+0	-1	+2	+4	0.2
2036	31	MLB CTX	BOS	52%	167	147	34	6	1	3	14	42	4	4	1	224	309	330	639	106	293	25	8	292	80	-4	+0	-1	+2	+4	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1304	1149	267	49	7	23	112	320	31	35	7	232	317	347	665	115	300	25	9	303	86	-20	+4	-4	+14	+28	2.3
/ 162G	—	A+C		—	650	573	132	24	3	11	56	160	15	17	3	230	315	340	655	110	299	25	9	303	86	-10	+2	-2	+7	+14	1.2
Career	—	MLE		—	2655	2327	521	86	16	49	234	647	71	73	12	224	314	338	652	114	287	24	9	295	86	-39	+9	-7	+28	+56	4.7
/ 162G	—	MLE		—	650	570	128	21	4	12	57	158	17	18	3	225	314	339	652	114	287	24	9	295	86	-10	+2	-2	+7	+14	1.2

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 ASalem RidgeYaks · 81 PAwOBA .287 → .229 (−58)K% 13.6% → 18.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.58%	÷1.000	×1.360	—	—	18.47%
BB% (unintentional) /PA	17.28%	÷1.000	×0.690	—	×1.015	12.10%
HBP% /PA	8.64%	—	×0.780	—	×1.015	6.84%
Singles /BIP	12.24%	÷1.000	×0.920	×0.987	×1.015	11.29%
Doubles /BIP	2.04%	÷1.000	×0.830	×0.987	×1.015	1.70%
Triples /BIP	0.00%	÷1.000	×0.910	×0.987	×1.015	0.00%
Home runs /BIP	2.04%	÷1.000	×0.800	—	×1.015	1.66%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.

Result: wOBA .287 → .229; ISO .067 → .056; BABIP .146 → .132. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Mike Gallego'85-'97 * career totals — 11 seasons, 3,379 PA	5.1	3,379	42	24	235*	316*	342*	+20	+41	9.5	10.5
/162	664	8	5	+4.0	+8.1	1.9	pk7: 12
#2Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#3Eric Sogardlast yr '21 career totals — 10 seasons, 2,484 PA	3.7	2,484	26	46	246	312	337	+10	+22	6.0	6.6
/162	664	7	12	+2.7	+5.9	1.6	pk7: 7
#4Dave Anderson'83-'92 * career totals — 10 seasons, 2,287 PA	3.4	2,287	19	49	240*	312*	342*	+17	+13	5.1	6.0
/162	664	6	14	+5.1	+3.8	1.5	pk7: 7
#5Casey Candaele'86-'97 * career totals — 7 seasons, 2,132 PA	3.2	2,132	11	37	246*	305*	350*	+5	+26	4.2	4.6
/162	664	3	12	+1.5	+8.1	1.3	pk7: 5
#6Ehire Adrianzalast yr '22 career totals — 9 seasons, 1,519 PA	2.3	1,519	20	19	240	310	353	+10	+13	4.0	4.4
/162	664	9	8	+4.2	+5.5	1.8	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.0	1,361	25	36	227	310	341	+15	+18	3.6	3.4
/162	664	12	17	+7.1	+8.8	1.7	pk7: 3

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Wills Maginnis (OGILVIE)	22	—	—	—	—	220/310/322	102	288	1	1	25%	9%	84	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Juan Mora 2022 · A	22	44	42→45	55	47	215/295/325	110	284	9	14	26%	8%	78	-0.3	222/280/325	103	297	9	9	27%	6%	72	-0.7	218/275/319	102	286	9	8	26%	5%	67	-0.5
✕Taylor Motter 2012 · A	22	48→49	42→50	55	53	232/307/339	107	284	9	20	21%	10%	85	+0.2	227/290/330	103	280	8	20	21%	8%	76	-0.4	245/294/375	130	284	13	21	18%	6%	86	+0.2
✕José Caballero 2019 · A	22	47→45	43→45	47→70	45	231/292/348	117	278	10	9	21%	6%	81	-0.1	219/292/328	109	283	9	26	25%	8%	78	-0.3	226/318/339	113	301	10	63	26%	9%	91	+0.4
✕Blaze Alexander 2021 · A	22	46→50	42→50	51→50	42	219/286/327	109	306	9	11	30%	7%	74	-0.5	211/283/339	128	327	14	12	37%	7%	77	-0.3	246/324/371	124	344	12	15	29%	8%	98	+0.8
✕Mario Lisson 2006 · A	22	46→49	43→50	57→55	50	221/307/345	123	302	9	19	28%	10%	86	+0.3	220/283/335	115	289	10	21	26%	7%	75	-0.5	222/292/345	123	288	15	8	27%	7%	80	-0.1
✕Leo Jiménez 2023 · A	22	48→52	41→45	48→45	51	225/337/325	100	294	8	9	24%	9%	95	+1.0	235/325/347	112	296	10	7	23%	7%	95	+0.9	237/330/347	110	299	10	5	22%	7%	95	+0.5
✕Jared Serna 2024 · A	22	45→48	45	53→50	45	226/284/352	126	276	13	18	23%	7%	79	-0.2	214/271/321	107	261	11	15	22%	6%	68	-1.0	202/265/300	97	245	10	16	21%	6%	58	-1.4
✕Jason Taylor 2010 · A	22	45→40	45→50	52→55	50	222/296/347	125	272	12	21	23%	9%	83	+0.1	209/261/319	110	272	10	13	26%	6%	63	-1.4	145/173/232	87	187	9	6	28%	3%	9	-1.1
●Jakob Marsee 2023 · A	22	44→49	42→45	58→60	54	211/313/323	113	290	8	21	28%	12%	85	+0.2	220/320/345	125	277	13	33	24%	11%	93	+0.8	217/321/350	133	273	12	37	23%	11%	92	+0.8
✕Cayden Wallace 2024 · AA	22	45→49	44→50	53→50	45	220/280/345	125	285	10	13	26%	7%	76	-0.4	226/279/351	125	289	12	13	25%	6%	77	-0.3	232/281/372	140	285	16	15	24%	5%	80	-0.1
✕Brice Matthews 2024 · A	22	45	44→50	54→60	46	211/306/329	118	322	12	22	35%	10%	84	+0.1	217/298/371	154	326	18	30	36%	9%	90	+0.6	208/288/365	156	305	19	33	36%	9%	82	+0.0
✕Cooper Bowman 2022 · A	22	44	45	56→60	41	214/289/346	132	303	12	19	32%	7%	81	-0.1	204/281/321	117	287	12	34	31%	8%	72	-0.7	210/283/330	120	279	11	40	27%	8%	72	-0.5
●Matt McLain 2022 · A	22	46→56	44→55	53→55	48	221/299/337	116	298	11	20	28%	9%	82	+0.0	239/322/420	181	326	19	22	30%	9%	109	+2.0	234/319/405	170	315	19	23	30%	10%	104	+1.4
✕Nacho Alvarez Jr. 2024 · A	21	51→54	40	50	50	241/318/332	91	306	7	13	22%	9%	88	+0.4	240/315/330	90	307	8	14	22%	8%	86	+0.3	238/317/323	85	303	7	15	22%	8%	83	+0.1
✕Tommy Troy 2024 · A	22	47→55	46→45	57→50	44	228/298/359	132	326	13	18	32%	8%	86	+0.3	223/292/336	113	299	10	17	27%	8%	79	-0.2	233/306/347	114	304	10	17	25%	8%	84	+0.1
✕Nick Senzel 2017 · A	22	48→58	45→50	51→50	47	232/297/367	135	304	10	16	26%	8%	88	+0.4	256/311/403	147	336	12	14	26%	7%	101	+1.4	263/317/416	154	341	14	16	26%	7%	104	+1.0
✕Jack Marder 2012 · A	22	48	44→45	49→50	41	235/292/354	119	291	11	12	23%	4%	83	+0.1	240/299/357	117	292	10	13	21%	5%	86	+0.3	238/300/350	112	289	10	12	20%	5%	83	+0.0
✕Ricardo Olivar 2024 · A	22	49→50	44→45	51→50	45	233/311/357	125	326	10	9	30%	8%	91	+0.7	224/296/352	128	290	14	9	26%	9%	84	+0.2	215/289/349	134	265	17	10	25%	9%	78	-0.2
✕Corey Toups 2016 · A	23	49→50	41→45	56→50	46	234/295/343	109	305	7	17	25%	7%	81	-0.1	217/279/332	115	309	9	16	31%	7%	73	-0.6	206/271/319	113	301	10	16	33%	7%	64	-0.9
✕Hao-Yu Lee 2024 · A	21	49→51	43→50	50→55	46	237/307/351	113	309	11	15	26%	8%	88	+0.4	250/313/394	144	313	14	16	23%	7%	100	+1.3	253/317/409	156	313	15	15	23%	7%	103	+1.2

Wills Maginnis

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps