Blake Schaaf — OGILVIE

Blake Schaaf2B Tampa Tarpons

Age 22 L/R A HR +14% Svc 0.0 · Ctrl thru 2037

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 52 proj PA

wRC+†65

AVG/OBP/SLG.178 / .296 / .255

PA52

HR1

K%36

BB%12

ISO77

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M 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	—	—	—
2033	Pre-Arb	$0.9M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.5M	+$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. 2027 = actual YTD + projected ROS + total. 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	Tampa Tarpons	—	20	12	1	0	0	0	6	7	1	2	1	83	421	83	504		167	35	30	291	42	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	21	A MLE	Tampa Tarpons	—	20	14	1	0	0	0	4	10	1	2	1	71	316	71	387		158	50	20	230	42	—	—	—	—	—	—
2026	21	A MLE	Tampa Tarpons	—	20	14	1	0	0	0	4	10	1	2	1	71	316	71	387		200	50	20	230	42	—	—	—	—	—	—
2026	21	A RAW	Tampa Tarpons	—	20	12	1	0	0	0	6	7	1	2	1	83	421	83	504		167	35	30	291	42	—	—	—	—	—	—
2026	21	A MLE	Tampa Tarpons	—	20	15	1	0	0	0	4	10	1	2	1	67	316	67	382		158	50	20	230	42	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	21	A MLE	Tampa Tarpons	—	20	15	1	0	0	0	4	10	1	2	1	67	316	67	382		158	50	20	230	42	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	NYY	0%	130	110	20	3	1	1	16	47	3	4	1	180	298	258	556	77	291	36	12	264	65	-5	+0	+0	+0	+3	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	NYY	34%	152	130	25	4	1	2	18	53	3	5	1	185	300	268	568	83	292	35	12	268	68	-6	+1	+0	+1	+3	-0.1
2029	24	MLB MLE	NYY	48%	270	231	44	7	1	4	32	93	5	9	1	189	302	277	579	88	293	34	12	272	70	-10	+1	+0	+1	+6	-0.1
2030	25	MLB MLE	NYY	56%	345	295	57	9	2	5	40	117	7	11	1	192	303	285	588	93	293	34	12	275	72	-11	+2	+0	+1	+7	-0.1
2031	26	MLB MLE	NYY	60%	395	339	65	10	2	6	46	131	7	12	2	195	304	291	595	97	292	33	12	277	74	-12	+2	+0	+1	+9	-0.1
2032	27	MLB MLE	NYY	62%	419	360	71	11	2	7	48	137	8	12	2	196	303	294	598	98	291	33	11	278	74	-13	+2	+0	+1	+9	-0.1
2033	28	MLB MLE	NYY	63%	431	371	72	11	2	7	49	142	8	11	2	194	301	289	591	95	290	33	11	275	72	-14	+1	-1	+2	+9	-0.3
2028	23	MLB CTX	NYY	34%	51	44	8	1	0	1	6	18	1	2	0	185	301	271	572	86	292	35	12	270	68	-2	+0	+0	+0	+1	-0.0
2029	24	MLB CTX	NYY	48%	129	110	21	3	1	2	15	44	3	4	1	189	302	281	583	91	293	34	12	273	70	-5	+0	+0	+0	+3	-0.1
2030	25	MLB CTX	NYY	56%	192	164	32	5	1	3	22	65	4	6	1	193	304	289	592	96	293	34	11	277	72	-6	+1	+0	+1	+4	-0.1
2031	26	MLB CTX	NYY	60%	236	203	39	6	1	4	27	78	4	7	1	195	304	295	600	100	292	33	11	279	74	-7	+1	+0	+1	+5	-0.0
2032	27	MLB CTX	NYY	62%	259	222	43	7	1	4	30	85	5	8	1	197	304	299	603	102	291	33	12	280	74	-8	+1	+0	+1	+6	-0.0
2033	28	MLB CTX	NYY	63%	272	234	45	7	1	4	31	90	5	7	1	195	302	294	596	99	290	33	11	277	72	-9	+1	-0	+1	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1139	977	188	29	5	18	131	380	22	34	5	192	302	288	589	95	291	33	12	277	72	-37	+5	-0	+4	+25	-0.4
/ 162G	—	A+C		—	650	558	108	17	3	10	75	217	13	19	3	194	304	289	592	95	293	33	12	277	72	-21	+3	-0	+2	+14	-0.2
Career	—	MLE		—	2084	1785	343	53	10	32	243	702	40	64	10	192	303	287	590	95	293	34	12	274	72	-68	+9	-1	+7	+45	-0.8
/ 162G	—	MLE		—	650	557	107	17	3	10	76	219	12	20	3	192	302	287	590	95	293	34	12	274	72	-22	+3	-0	+2	+14	-0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
	/162	664	10	19	228	318	337	+1.0	+1.3	1.3	pk7: 7
#2Garrett Hampsonlast yr '25 career totals — 7 seasons, 1,805 PA	2.7	1,805	29	65	234	296	352	+10	+10	3.9	3.9
	/162	664	11	24	234	296	352	+3.6	+3.7	1.4	pk7: 4
#3Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
	/162	664	11	3	231	311	345	+1.2	+7.6	1.5	pk7: 3
#4Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
#4Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	/162	664	9	2	230	279	335	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.8	1,190	18	35	194	300	288	+4	+4	0.4	0.4
	/162	664	10	20	194	300	288	+2.4	+2.2	0.2	pk7: 0
#5Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
	/162	664	17	7	220	282	351	-0.2	-3.2	-0.2	pk7: -0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
	/162	664	7	14	231	275	323	+4.9	-2.1	-0.4	pk7: -1

Career Stats + Projections

Career Comps