Nolan Schanuel

1B Los Angeles Angels

Age 25 L/R 6'2" / 220 lbs MLB K +5%HR +4% Svc 3.262 · Ctrl thru 2029

Overview

MLB40-MANArb-1FA 2030

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	22	MLBLAA	607	.250/.347/.362	13	10	103	-0.3
2025	23	MLBLAA	564	.264/.355/.389	12	5	110	0.3
2026	24	MLBLAA	446	.276/.355/.385	7	1	112	0.7
2027PROJ	25	MLBLAA	455	.261/.347/.384	9	4	110	0.9
2028PROJ	26	MLBLAA	483	.261/.347/.383	10	4	110	1.0
2029PROJ	27	MLBLAA	470	.260/.346/.380	10	3	109	0.9

Last 3 seasons WAR 0.7 · Next 3 projected WAR 2.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2029Service3.262First FA2030

2027Arb-1$2M2028Arb-2$4M2029Arb-3$6M

Skills · percentileStatcast 2024-2026

xwOBA66

Avg EV22

Bat Spd15

Barrel%14

Speed13

CompsDaric Barton (age 25) · David Cooper (age 25) · Casey Kotchman (age 25)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 99110vR 113

AVG/OBP/SLG.261 / .347 / .384

PA455

HR9

K%14

BB%10

BABIP288

ISO120

MLB%100%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$12M ctrl surplus

Tools · Splits · ContractCON 55 / POW 40

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT55

xAVG

670.265

POWER40

Barrel%

143.5

Avg EV

2286.9

Bat Spd

1567.5

EYE60

scouting grade only

SPEED40

Sprint

1325.7

Platoon Splits2024-2026 · 1279 PA

vs LHP

vs RHP

Edge

296

983

—

wRC+

105

▶R

wOBA

315

324

—

ISO

103

124

▶▶R

BABIP

284

281

—

15.5%

14.6%

▶R

BB%

10.5%

10.4%

—

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

Status Arb-1

MLB Debut 2023

Service 3.262 yrs.days

Team Control Through 2029

First FA Year 2030

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Arb-1	$2M	+1.2	$10M	+$7M
2028	Arb-2	$4M	+1.0	$7M	+$3M
2029	Arb-3	$6M	+0.9	$3M	+$0.0M (cut)
Totals		$7M		$20M	+$11M

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)
2023	21	MLB	Los Angeles Angels	—	132	109	30	3	0	1	20	19	3	0	0	275	402	330	732	55	326	14	15	346	117	+3	+0	-4	-4	+3	-0.2
2023	21	AA	Rocket City Trash Pandas	—	76	60	20	3	1	1	16	9	0	1	0	333	474	467	940	133	380	12	21	425	155	—	—	—	—	—	—
2024	22	MLB	Los Angeles Angels	—	607	519	130	19	0	13	68	103	9	10	1	250	347	362	709	112	285	17	11	320	103	+2	+2	-9	-11	+13	-0.3
2025	23	MLB	Los Angeles Angels	—	564	488	129	23	1	12	59	71	10	5	1	264	355	389	745	125	286	13	10	335	110	+7	+1	-7	-10	+12	0.3
2026	24	MLB	Los Angeles Angels	—	446	392	108	22	0	7	42	58	6	1	1	276	355	385	740	110	304	13	9	332	112	+6	-0	-1	-8	+10	0.7
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1749	1508	397	67	1	33	189	251	28	16	3	263	356	375	730	111	294	14	11	330	109	+19	+2	-21	-33	+38	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	21	MLB MLE	Los Angeles Angels	—	132	110	30	3	0	1	19	19	3	0	0	273	394	327	721	55	326	14	14	341	117	+3	+0	-4	-4	+3	-0.2
2023	21	AA MLE	Rocket City Trash Pandas	—	76	65	22	4	1	1	11	11	0	1	0	338	434	477	911	138	396	14	14	397	155	—	—	—	—	—	—
2024	22	MLB MLE	Los Angeles Angels	—	607	520	131	20	0	13	68	103	9	10	1	252	348	365	714	113	285	17	11	321	103	+2	+2	-9	-11	+13	-0.3
2025	23	MLB MLE	Los Angeles Angels	—	564	492	130	24	1	12	55	71	10	5	1	264	350	390	740	126	286	13	10	331	110	+7	+1	-7	-10	+12	0.3
2026	24	MLB MLE	Los Angeles Angels	—	446	392	109	23	0	7	42	58	6	1	1	278	357	390	747	112	304	13	9	334	112	+6	-0	-1	-8	+10	0.7
2023	21	MLB MLE	2 teams	—	208	175	52	7	1	2	30	30	3	1	0	297	409	383	792	86	350	14	14	362	131	+8	+0	-4	-4	+5	0.5
2023	21	MLB RAW	2 teams	—	208	169	50	6	1	2	36	28	3	1	0	296	428	379	807	83	345	13	17	375	131	+8	+0	-4	-4	+5	0.5
2024	22	MLB MLE	Los Angeles Angels	—	607	520	131	20	0	13	68	103	9	10	1	252	348	365	714	113	287	17	11	321	103	+2	+2	-9	-11	+13	-0.3
2024	22	MLB RAW	Los Angeles Angels	—	607	519	130	19	0	13	68	103	9	10	1	250	347	362	709	112	285	17	11	320	103	+2	+2	-9	-11	+13	-0.3
2025	23	MLB MLE	Los Angeles Angels	—	564	492	130	24	1	12	55	71	10	5	1	264	350	390	740	126	286	13	10	331	110	+7	+1	-7	-10	+12	0.3
2025	23	MLB RAW	Los Angeles Angels	—	564	488	129	23	1	12	59	71	10	5	1	264	355	389	745	125	286	13	10	335	110	+7	+1	-7	-10	+12	0.3
2026	24	MLB MLE	Los Angeles Angels	—	446	392	109	23	0	7	42	58	6	1	1	278	357	390	747	112	307	13	9	334	112	+6	-0	-1	-8	+10	0.7
2026	24	MLB RAW	Los Angeles Angels	—	446	392	108	22	0	7	42	58	6	1	1	276	355	385	740	110	304	13	9	332	112	+6	-0	-1	-8	+10	0.7
2023	21	MLB MLE	2 teams	—	208	173	52	7	1	2	30	30	3	1	0	301	409	387	796	87	351	14	14	362	131	—	—	—	—	—	—
2024	22	MLB MLE	Los Angeles Angels	—	607	525	131	20	0	13	68	103	9	10	1	250	348	362	710	112	285	17	11	321	103	—	—	—	—	—	—
2025	23	MLB MLE	Los Angeles Angels	—	564	494	130	24	1	12	55	71	10	5	1	263	350	389	739	126	286	13	10	331	110	—	—	—	—	—	—
2026	24	MLB MLE	Los Angeles Angels	—	446	395	109	23	0	7	42	58	6	1	1	276	357	387	744	111	304	13	9	334	112	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	22	MLB MLE	Los Angeles Angels	—	607	525	131	20	0	13	68	103	9	10	1	250	348	362	710	112	285	17	11	321	103	—	—	—	—	—	—
2025	23	MLB MLE	Los Angeles Angels	—	564	494	130	24	1	12	55	71	10	5	1	263	350	389	739	126	286	13	10	331	110	—	—	—	—	—	—
2026	24	MLB MLE	Los Angeles Angels	—	446	395	109	23	0	7	42	58	6	1	1	276	357	387	744	111	304	13	9	334	112	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	25	MLB MLE	LAA	100%	529	463	123	24	1	11	53	74	8	4	1	263	348	386	734	123	290	14	10	331	110	+6	+0	+2	-9	+11	1.2
▸ 2027 — real world (MLB)
2027	25	MLB CTX	LAA	100%	455	400	104	19	1	9	45	64	7	4	1	261	347	384	730	122	288	14	10	329	110	+5	+0	+1	-8	+10	0.9
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	26	MLB MLE	LAA	100%	483	425	111	21	1	10	48	68	7	4	1	263	348	385	733	122	290	14	10	331	110	+6	+0	+1	-9	+10	1.0
2029	27	MLB MLE	LAA	100%	470	413	107	21	0	9	47	66	7	3	1	261	347	382	729	121	289	14	10	329	109	+5	+0	+1	-8	+10	0.9
2030	28	MLB MLE	LAA	100%	458	402	104	20	0	9	46	66	7	2	1	259	345	377	721	117	288	14	10	326	107	+4	+0	+1	-8	+10	0.6
2031	29	MLB MLE	LAA	100%	445	392	100	19	0	8	44	65	6	1	1	256	341	369	711	113	286	15	10	322	104	+2	-0	-0	-8	+10	0.4
2032	30	MLB MLE	LAA	100%	434	382	96	18	0	8	43	65	6	1	1	252	337	360	697	108	284	15	10	316	100	+0	-0	-1	-8	+9	0.1
2028	26	MLB CTX	LAA	100%	483	425	111	21	1	10	48	68	7	4	1	261	347	383	730	122	288	14	10	329	110	+6	+0	+1	-9	+10	1.0
2029	27	MLB CTX	LAA	100%	470	413	107	20	0	10	47	66	7	3	1	260	346	380	725	120	287	14	10	328	109	+5	+0	+1	-8	+10	0.9
2030	28	MLB CTX	LAA	100%	458	402	103	19	0	9	46	66	7	2	1	258	343	374	718	117	286	14	10	325	107	+4	+0	+1	-8	+10	0.6
2031	29	MLB CTX	LAA	100%	445	392	99	18	0	8	44	65	6	1	1	255	340	367	707	112	284	15	10	320	104	+2	-0	-0	-8	+10	0.4
2032	30	MLB CTX	LAA	100%	434	382	96	18	0	8	43	65	6	1	1	251	336	358	694	107	281	15	10	315	100	+0	-0	-1	-8	+9	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4039	3522	913	163	2	78	417	581	61	27	8	259	348	373	721	114	289	14	10	326	108	+36	+2	-18	-73	+88	3.5
/ 162G	—	A+C		—	650	567	147	26	0	13	67	94	10	4	1	259	348	374	722	115	289	14	10	326	108	+6	+0	-3	-12	+14	0.6
Career	—	MLE		—	4570	3993	1045	193	4	87	468	656	68	32	9	262	349	377	726	116	292	14	10	328	108	+41	+3	-17	-82	+97	4.4
/ 162G	—	MLE		—	650	568	148	27	1	12	67	93	10	5	1	261	349	375	724	114	291	14	10	328	108	+6	+0	-2	-12	+14	0.6

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 AARocket City Trash Pandas · 76 PAwOBA .415 → .397 (−18)K% 11.8% → 14.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.84%	÷1.032	×1.220	—	—	14.00%
BB% (unintentional) /PA	21.05%	÷1.017	×0.680	—	×1.050	14.78%
HBP% /PA	0.00%	—	×0.840	—	×1.050	0.00%
Singles /BIP	29.41%	÷0.985	×0.920	×1.050	×1.050	30.29%
Doubles /BIP	5.88%	÷0.910	×0.910	×1.050	×1.050	6.49%
Triples /BIP	1.96%	÷0.900	×0.880	×1.050	×1.050	2.11%
Home runs /BIP	1.96%	÷0.970	×0.800	—	×1.050	1.70%

Factors used: league row SL. Park (home-season share, regressed): HR 94, 1B 97, 2B 82, 3B 80, K 106, BB 103 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .415 → .397; ISO .133 → .143; BABIP .380 → .396. 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
#1Dan Driessen'73-'87 * career totals — 14 seasons, 6,344 PA	9.6	6,344	153	154	262*	352*	443*	-94	-39	17.6	15.4
/162	664	16	16	-9.9	-4.1	1.8	pk7: 13
#2Carlos May'68-'77 * career totals — 10 seasons, 4,723 PA	7.1	4,723	90	85	277*	360*	436*	-71	-30	10.9	11.8
/162	664	13	12	-10.0	-4.1	1.5	pk7: 13
#3Sean Casey'97-'08 * career totals — 11 seasons, 5,644 PA	8.5	5,644	130	18	290*	352*	433*	-102	-82	8.5	9.4
/162	664	15	2	-12.0	-9.6	1.0	pk7: 10
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	6.8	4,494	86	30	261	345	377	-80	-73	8.6	7.9
/162	664	13	4	-11.9	-10.7	1.3	pk7: 7
#4Conor Jacksonlast yr '11 career totals — 7 seasons, 2,485 PA	3.7	2,485	52	27	271	351	407	-37	-45	3.3	3.3
/162	664	14	7	-10.0	-12.0	0.9	pk7: 3
#5James Loneylast yr '16 career totals — 11 seasons, 5,487 PA	8.3	5,487	108	38	284	336	410	-98	-98	1.7	3.3
/162	664	13	5	-11.9	-11.9	0.2	pk7: 5
#6Jeremy Hermidalast yr '11 career totals — 6 seasons, 2,187 PA	3.3	2,187	61	19	256	333	410	-23	-39	2.2	2.2
/162	664	19	6	-7.1	-11.9	0.7	pk7: 2

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
Nolan Schanuel (OGILVIE)	25	55	40	40	60	261/345/382	122	290	9	4	14%	10%	110	+1.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Daric Barton 2011 · MLB	25	52→59	45	45	64	249/356/385	136	284	11	5	16%	14%	114	+2.3	232/339/340	108	278	8	6	18%	13%	98	+1.2	224/325/329	105	260	9	3	17%	12%	89	+0.4
✕David Cooper 2012 · MLB	25	54→63	45→50	38→30	52	262/320/397	135	292	12	2	15%	8%	103	+1.5	258/312/389	131	286	11	3	14%	7%	98	+1.2	254/308/387	133	280	12	0	13%	7%	96	+0.5
●Casey Kotchman 2008 · MLB	25	55→62	48→50	37→40	58	269/342/423	154	281	14	4	10%	9%	117	+2.6	260/319/394	134	270	13	3	9%	7%	102	+1.5	260/324/376	116	281	11	1	11%	7%	100	+1.1
✕Luis Guillorme 2020 · MLB	25	55→64	41→40	42→45	54	265/336/362	97	308	8	6	16%	9%	101	+1.4	265/344/360	95	318	8	7	17%	10%	103	+1.6	254/338/322	68	302	4	1	16%	11%	93	+0.3
✕Bryan Byrne 2009 · AA	25	55→59	43→45	41→40	52	265/335/382	116	317	11	3	19%	9%	105	+1.7	242/328/331	89	309	5	5	21%	10%	91	+0.7	233/329/307	74	306	3	4	22%	11%	86	+0.2
●Spencer Horwitz 2023 · AAA	25	52→60	46→50	45	54	252/336/390	138	311	12	7	22%	11%	107	+1.9	269/353/410	141	326	13	6	20%	10%	118	+2.7	275/361/420	146	327	14	4	19%	11%	123	+2.7
✕Ryan Sweeney 2010 · MLB	25	58→62	42→50	46→45	52	277/334/390	113	314	9	9	15%	8%	106	+1.8	270/326/369	99	316	5	5	15%	8%	98	+1.2	256/316/378	122	301	8	2	17%	8%	96	+0.5
✕Jesus Valenzuela 2014 · AAA	25	56	39→40	40	52	263/327/355	92	322	6	5	19%	9%	95	+1.0	246/307/340	94	306	8	7	21%	8%	84	+0.2	221/261/300	79	269	7	2	20%	5%	58	-0.4
✕Willy Aybar 2008 · MLB	25	55→57	46→50	39→40	54	269/335/406	137	299	12	5	15%	9%	110	+2.1	249/319/399	150	272	17	4	15%	9%	103	+1.6	241/316/385	144	265	16	2	16%	9%	100	+0.8
✕Ramón Flores 2016 · MLB	24	51→59	44→45	45→50	51	249/314/369	120	293	10	6	18%	8%	94	+0.9	241/311/343	102	293	9	9	20%	9%	87	+0.4	256/327/359	103	312	9	10	20%	9%	94	+0.4
✕Matt Beaty 2018 · AA	25	55→59	44→50	43→45	45	266/307/383	116	303	11	5	16%	5%	95	+0.9	256/307/392	136	289	13	6	16%	6%	97	+1.1	264/336/407	143	298	14	5	16%	7%	112	+1.0
✕Alex Verdugo 2023 · MLB	27	55→60	45→50	42→45	50	271/323/400	129	302	12	4	15%	7%	104	+1.6	247/306/376	129	277	12	4	15%	7%	93	+0.8	238/299/361	123	267	11	4	15%	7%	87	+0.3
✕Conor Gillaspie 2012 · MLB	25	52→58	43→50	41→40	49	253/308/366	113	296	9	6	18%	7%	91	+0.6	249/300/382	133	284	14	3	17%	7%	92	+0.7	251/302/387	135	283	14	0	16%	6%	94	+0.7
✕Brian Stavisky 2006 · AA	26	57→60	44→45	38→45	51	273/332/402	129	322	10	3	18%	8%	108	+1.9	260/325/387	127	314	11	6	20%	9%	102	+1.5	258/328/388	130	309	13	7	20%	9%	102	+0.8
●Chris Parmelee 2012 · MLB	24	51→53	45→55	41→45	50	250/313/377	127	298	12	2	20%	8%	96	+1.0	247/313/401	154	296	17	3	22%	8%	101	+1.4	243/310/404	161	291	19	1	23%	8%	102	+1.2
✕Fernando Valenzuela 2009 · AAA	26	52→60	43→45	45→40	49	253/307/364	112	276	11	4	13%	6%	91	+0.6	266/320/381	115	297	11	5	14%	6%	99	+1.3	286/327/396	110	318	9	1	13%	4%	104	+1.1
●Yonder Alonso 2013 · MLB	26	55→59	46→55	46→45	51	268/327/410	142	312	13	6	18%	8%	108	+1.9	264/322/384	120	296	11	8	14%	8%	101	+1.4	254/328/426	172	286	22	2	19%	10%	114	+2.1
●Jordan Brown 2009 · AAA	25	56→65	44→50	47→45	47	270/316/395	125	306	10	6	16%	6%	101	+1.4	267/303/400	133	304	12	4	16%	4%	97	+1.1	271/303/405	134	303	12	2	15%	4%	97	+0.8
●James Loney 2010 · MLB	26	57→66	46→50	46→45	53	279/334/412	133	302	13	6	13%	8%	111	+2.1	269/319/392	123	296	11	7	13%	7%	101	+1.4	283/327/386	103	309	10	3	12%	6%	103	+1.4
✕Alex Hassan 2013 · AAA	25	51→56	43→45	46→45	53	243/330/354	111	301	10	5	22%	10%	97	+1.1	257/326/359	102	337	8	3	24%	9%	97	+1.1	265/325/361	96	349	6	1	24%	8%	94	+0.6

Nolan Schanuel

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps