Marshall Toole — OGILVIE

Marshall TooleOF Bowling Green Hot Rods

Age 23 L/R 5'11" / 185 lbs A+ HR +6%H +4% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION208 act + 29 ros · stats below = ROS only

showingROS

wRC+†73

AVG/OBP/SLG.200 / .310 / .240

PA29

HR0

K%38

BB%10

BABIP330

ISO40

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$4M ctrl surplus

Tools · ContractCON 50 / POW 40

Toolsscout grade

CONTACT50

scouting grade only

POWER40

scouting grade only

EYE55

scouting grade only

SPEED60

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Arb-1	$3M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.4M	+$0.0M

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. 2026 = actual YTD + projected ROS + total. 2027+ 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)
2024	21	A	Tampa Tarpons	—	69	51	13	2	0	1	15	18	3	8	2	255	449	353	802	98	375	26	22	382	145	+4	+1	—	—	+1	0.6
2025	22	A	Tampa Tarpons	—	372	315	96	14	13	5	52	73	3	44	6	305	408	479	887	175	381	20	14	392	151	+23	+6	—	—	+8	3.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	21	A MLE	Tampa Tarpons	—	69	55	11	2	0	1	11	27	3	8	2	200	362	291	653	91	335	39	16	287	80	-2	+1	—	—	+1	0.1
2025	22	A MLE	Tampa Tarpons	—	372	327	77	12	11	5	40	104	3	44	6	235	324	385	710	150	322	28	11	309	95	-2	+6	—	—	+8	1.3
2024	21	A MLE	Tampa Tarpons	—	69	55	11	2	0	1	11	27	3	8	2	200	362	291	653	91	370	39	16	287	80	—	—	—	—	—	—
2024	21	A RAW	Tampa Tarpons	—	69	51	13	2	0	1	15	18	3	8	2	255	449	353	802	98	375	26	22	382	80	—	—	—	—	—	—
2025	22	A MLE	Tampa Tarpons	—	372	327	77	12	11	5	40	104	3	44	6	235	324	385	710	150	327	28	11	309	95	—	—	—	—	—	—
2025	22	A RAW	Tampa Tarpons	—	372	315	96	14	13	5	52	73	3	44	6	305	408	479	887	175	381	20	14	392	95	—	—	—	—	—	—
2024	21	A MLE	Tampa Tarpons	—	69	55	11	2	0	1	11	27	3	8	2	200	362	291	653	91	335	39	16	287	80	—	—	—	—	—	—
2025	22	A MLE	Tampa Tarpons	—	372	326	77	12	11	5	40	104	3	44	6	236	324	387	711	150	322	28	11	309	95	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	21	A MLE	Tampa Tarpons	—	69	55	11	2	0	1	11	27	3	8	2	200	362	291	653	91	335	39	16	287	80	—	—	—	—	—	—
2025	22	A MLE	Tampa Tarpons	—	372	326	77	12	11	5	40	104	3	44	6	236	324	387	711	150	322	28	11	309	95	—	—	—	—	—	—
YTD	23	A+ MLE	TB	—	208	179	31	3	1	2	20	98	7	22	4	173	282	235	516	61	367	47	10	238	47	-13	+3	+0	-1	+5	-0.7
▸ 2026 season
YTD	23	A RAW	TB	—	49	40	5	0	1	0	7	21	2	2	1	125	286	175	461	50	263	43	14	236	47	—	—	—	—	—	—
YTD	23	A+ RAW	TB	—	159	127	32	4	0	3	24	51	5	20	3	252	389	354	743	102	397	32	15	342	47	—	—	—	—	—	—
ROS	23	A+ MLE	TB	0%	29	25	5	1	0	0	3	11	1	2	0	200	310	240	550	40	320	38	10	276	73	-1	+0	+0	-0	+1	-0.0
TOT	23	A+ MLE	TB	—	237	204	36	4	1	2	23	109	8	24	4	176	285	235	520	59	366	46	10	242	50	-14	+3	+0	-1	+5	-0.7
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	TB	30%	397	347	72	12	3	7	40	138	7	18	3	207	302	320	622	112	319	35	10	285	79	-10	+2	+0	-2	+9	-0.1
2028	25	MLB MLE	TB	44%	441	387	83	14	3	9	44	149	7	20	4	214	306	336	642	121	316	34	10	290	82	-9	+2	+0	-3	+10	0.0
2029	26	MLB MLE	TB	51%	468	410	87	15	3	9	47	155	8	21	4	212	305	329	635	117	315	33	10	292	84	-9	+3	+0	-3	+10	0.1
2030	27	MLB MLE	TB	52%	479	420	91	16	3	10	48	158	8	22	4	217	309	340	649	124	314	33	10	293	85	-9	+3	+0	-3	+10	0.2
2031	28	MLB MLE	TB	53%	482	422	91	16	3	10	49	159	8	21	4	216	309	339	648	123	313	33	10	292	84	-9	+3	-1	-3	+10	0.0
2032	29	MLB MLE	TB	53%	476	416	88	15	3	9	49	158	8	19	4	212	307	327	633	115	312	33	10	290	83	-10	+2	-1	-3	+10	-0.2
2033	30	MLB MLE	TB	56%	469	411	87	15	3	9	48	157	7	17	3	212	305	328	633	117	311	33	10	287	81	-11	+2	-2	-3	+10	-0.3
2027	24	MLB CTX	TB	30%	120	105	23	4	1	2	12	42	2	5	1	219	311	333	644	114	328	35	10	279	79	-3	+1	+0	-1	+3	-0.1
2028	25	MLB CTX	TB	44%	195	170	38	7	1	4	20	66	3	9	2	224	316	347	663	124	326	34	10	285	82	-4	+1	+0	-1	+4	-0.0
2029	26	MLB CTX	TB	51%	238	208	46	8	2	5	24	79	4	11	2	221	314	351	665	130	324	33	10	287	84	-5	+1	+0	-1	+5	0.1
2030	27	MLB CTX	TB	52%	251	220	49	9	2	5	25	83	4	11	2	223	313	350	663	127	323	33	10	288	85	-5	+1	+0	-2	+5	0.1
2031	28	MLB CTX	TB	53%	257	225	50	9	2	5	26	85	4	11	2	222	314	347	660	124	323	33	10	287	84	-5	+1	-0	-2	+6	0.0
2032	29	MLB CTX	TB	53%	250	218	48	8	2	5	26	83	4	10	2	220	315	344	659	124	322	33	10	285	83	-5	+1	-1	-2	+5	-0.1
2033	30	MLB CTX	TB	56%	265	232	50	9	2	5	27	89	4	10	2	216	308	336	644	121	320	34	10	282	81	-6	+1	-1	-2	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1576	1378	304	54	12	31	160	527	25	67	13	221	313	345	658	124	330	33	10	285	84	-32	+8	-2	-9	+34	-0.2
/ 162G	—	A+C		—	650	568	125	22	5	13	66	217	10	28	5	220	312	345	657	125	328	33	10	285	84	-13	+3	-1	-4	+14	-0.1
Career	—	MLE		—	3682	3220	692	118	32	69	379	1216	60	192	34	215	309	336	645	121	319	33	10	292	84	-68	+18	-4	-19	+70	-0.4
/ 162G	—	MLE		—	650	568	123	21	6	12	67	215	11	34	6	217	311	338	649	121	323	33	10	292	84	-14	+4	-1	-4	+14	-0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Desmond Jenningslast yr '16 career totals — 6 seasons, 2,327 PA	3.5	2,327	55	93	245	323	394	-9	+10	8.1	8.1
/162	664	16	27	-2.5	+2.7	2.3	pk7: 8
#2Delino DeShieldslast yr '21 career totals — 7 seasons, 2,114 PA	3.2	2,114	19	111	246	327	342	+1	+6	5.3	5.3
/162	664	6	35	+0.4	+1.8	1.7	pk7: 5
#3Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#4Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#5Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
#6Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	2.4	1,578	31	68	214	303	333	-9	+0	0.9	0.9
/162	664	13	29	-4.0	+0.0	0.4	pk7: 1

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
Marshall Toole (OGILVIE)	23	50	40	60	55	198/296/295	96	320	4	19	36%	10%	73	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jakob Marsee 2023 · A	22	44→48	43→45	58→60	54	211/315/327	116	289	9	21	28%	12%	86	+0.3	215/313/338	123	273	13	33	24%	11%	88	+0.5	211/310/338	127	264	13	40	24%	11%	84	+0.2
✕Leon Johnson 2008 · A	23	49	40	58→60	50	229/302/326	97	301	6	22	24%	9%	80	-0.2	218/282/296	78	282	5	17	23%	7%	65	-1.2	200/262/221	21	248	0	22	18%	6%	38	-0.7
✕Victor Scott II 2023 · A	22	44→54	44→40	58→65	51	211/296/334	123	285	10	19	28%	10%	80	-0.1	223/284/317	94	282	7	44	22%	6%	71	-0.8	218/282/304	85	275	7	49	22%	6%	66	-1.0
✕Ji Hwan Bae 2022 · AA	23	50→52	41→45	54→60	44	235/294/339	105	321	8	22	28%	7%	80	-0.2	242/301/345	103	318	7	29	24%	7%	84	+0.1	247/309/346	99	324	6	33	24%	8%	84	+0.1
✕Juan Silva 2014 · A	23	46	42→45	51→55	48	222/297/329	107	304	9	21	28%	9%	79	-0.2	224/300/316	92	297	6	22	24%	10%	77	-0.3	221/301/302	81	289	4	24	23%	10%	72	-0.3
✕Hoy Park 2019 · A	23	46→49	39→45	55	51	217/298/301	85	285	6	17	25%	9%	74	-0.6	228/306/324	96	300	7	16	24%	9%	81	-0.1	215/302/326	111	288	12	18	27%	10%	79	-0.2
✕Dru Baker 2023 · A	23	50→58	44→40	57→60	44	237/301/356	119	332	11	24	30%	8%	86	+0.3	241/295/331	90	341	8	32	30%	6%	78	-0.3	239/292/313	74	340	6	36	30%	5%	69	-0.7
✕Tsung-Che Cheng 2023 · A	22	48→47	42→45	57→55	51	226/308/340	115	305	8	21	27%	10%	86	+0.3	213/278/323	110	288	9	18	27%	8%	70	-0.8	202/266/301	99	273	8	19	28%	7%	58	-1.4
✕Corey Rosier 2023 · A	23	47→52	42→40	62→60	49	227/302/337	110	300	8	28	26%	9%	82	+0.0	216/278/313	97	290	7	33	26%	7%	68	-1.0	208/271/300	92	276	7	36	26%	7%	60	-1.0
✕Logan Vick 2014 · A	23	48	41→45	51→50	54	226/318/331	106	305	7	15	26%	12%	88	+0.4	195/285/290	95	293	7	13	32%	11%	66	-1.1	147/250/227	80	231	5	13	35%	11%	38	-2.1
✕LeVon Washington 2014 · A	23	53	42→45	53→50	47	245/318/364	119	351	7	14	30%	9%	95	+0.9	234/297/341	107	329	8	10	29%	8%	82	-0.0	225/288/321	96	315	7	8	29%	7%	71	-0.3
✕Joe McCarthy 2017 · A	23	48→50	42→45	51→50	51	231/315/339	108	292	9	14	23%	9%	88	+0.5	219/305/338	119	289	9	12	25%	10%	84	+0.2	199/280/346	148	264	17	5	30%	9%	76	-0.2
✕Jared Oliva 2019 · A	23	46→48	42→45	56→65	42	222/289/334	112	305	9	24	29%	7%	78	-0.3	221/279/318	97	306	7	25	28%	6%	70	-0.9	223/290/349	126	282	12	55	24%	7%	77	-0.2
✕Victor Labrada 2023 · A	23	42→52	41→45	54→60	39	199/264/301	102	310	8	21	36%	7%	60	-1.6	216/283/316	100	307	8	31	30%	7%	71	-0.8	229/311/347	118	299	10	36	25%	8%	86	+0.2
✕Michael Gigliotti 2019 · A	23	51	42→40	51→55	51	242/314/349	107	303	8	16	22%	9%	90	+0.6	224/290/312	88	307	5	21	27%	7%	73	-0.6	191/301/300	110	261	10	24	28%	11%	74	-0.2
✕Canaan Smith-Njigba 2022 · AAA	23	49→50	43→45	53→55	48	232/307/345	113	328	11	15	30%	10%	86	+0.3	224/293/335	111	332	8	18	32%	9%	79	-0.2	212/284/322	110	316	7	20	32%	9%	69	-0.5
✕Ryan Boldt 2018 · A	23	49→50	40→45	53→55	43	233/288/327	94	308	6	16	26%	6%	75	-0.5	234/290/353	119	307	9	16	25%	6%	82	-0.0	219/272/345	127	307	12	18	31%	6%	71	-0.4
✕Kevin Watson Jr 2022 · A	23	52	39→50	55→50	54	230/332/326	96	344	5	12	31%	12%	92	+0.7	222/307/319	97	322	8	11	30%	10%	80	-0.1	219/306/307	87	312	7	11	29%	10%	77	-0.2
✕Chris Pieters 2017 · A	22	48	39→45	54→55	49	226/307/315	88	296	6	17	24%	8%	80	-0.2	207/265/296	89	292	5	12	29%	6%	59	-1.7	197/253/289	92	277	5	13	29%	6%	51	-0.8
✕Nolan Fontana 2014 · A	23	45→43	40	52→50	59	208/323/305	98	291	7	14	28%	14%	85	+0.2	207/302/294	87	304	4	9	29%	12%	74	-0.6	184/288/307	123	253	11	12	29%	12%	71	-0.3

Career Stats + Projections

Career Comps

Career Path Comps