Cal Raleigh — OGILVIE

Cal RaleighC Seattle Mariners

Age 29 S/R 6'2" / 235 lbs MLB K +7%HR -5% Svc 4.494 · Ctrl thru 2031

2026 ROS PROJECTION494 act + 9 ros · stats below = ROS only

showingROS

wRC+†vL 118118vR 118

AVG/OBP/SLG.250 / .333 / .625

PA9

HR1

K%33

BB%11

BABIP232

ISO375

MLB%100%

Value2026 · WAR

2026 MLB RUNS · solid = so far · light = projected ROS (park-applied)

━ projected WAR━ paid WAR ($/8M) surplus deficit option yr━ post-control+$53M ctrl surplus

Tools · Recent Form · Splits · ContractCON 45 / POW 60

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT45

Whiff%

5110.8%

xAVG

110.219

POWER60

Barrel%

9016.8

Avg EV

7590.8

Bat Spd

8374.8

EYE40

Chase%

7726.4%

SPEED40

Sprint

1725.9

Recent Formrolling true talent ⓘ

K%26%▲25% over 106 PA (30d) · proj 28%

BB%15%▲▲17% over 153 PA (45d) · proj 13%

ISO.267▼.256 over 164 AB (60d) · proj .278xISO .206 vs .287 prior — approach backs the move

HR/BB11.4%·11.1% over 108 BBE (60d) · proj 11.6%barrel% 14.5% vs 17.6% prior

BABIP.241·.208 over 96 BIP (60d) · proj .245xBABIP .220 vs .270 prior

SLASH.226/.350/.492·proj .228/.334/.505

Platoon Splits2024-2026 · 1457 PA

vs LHP

vs RHP

Edge

408

1049

—

wRC+

134

127

◀L

wOBA

366

356

—

ISO

319

255

◀◀L

BABIP

230

259

▶R

27.2%

27.5%

—

BB%

7.6%

12.3%

▶▶R

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

Status Arb-2

MLB Debut 2021

Service 4.494 yrs.days

Team Control Through 2031

First FA Year 2032

NTCOPT

Year	Status	Salary	Proj WAR	Value	Surplus
2026ROS	Ext	$1M	+0.2	$0.7M	-$0.7M
2027	Ext	$18M	+4.6	$51M	+$35M
2028	Ext	$18M	+4.1	$39M	+$25M
2029	Ext	$18M	+3.7	$31M	+$18M
2030	Ext	$18M	+3.2	$22M	+$11M
Totals		$71M		$144M	+$89M

Options · projected decision
2031	VESTING OPT	$17.5M / $0.0M buyout	—
2032	VESTING OPT	$20.0M / $2.0M buyout	—

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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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)
2019	22	AA	Arkansas Travelers	—	159	145	33	6	0	7	14	47	0	0	0	228	296	414	709	186	286	30	9	315	100	-0	+0	—	—	+3	0.3
2019	22	A+	Modesto Nuts	—	348	310	81	19	0	22	33	69	3	4	0	261	338	535	874	274	267	20	9	378	142	+17	+1	—	—	+8	2.6
2021	24	MLB	Seattle Mariners	—	148	139	25	12	0	2	7	52	1	0	0	180	224	309	534	129	267	35	5	237	47	-9	+0	+4	+6	+3	0.4
2021	24	AAA	Tacoma Rainiers	—	199	176	57	21	1	9	14	25	4	3	2	324	387	608	995	284	327	13	7	420	170	+17	-0	—	—	+4	2.1
2022	25	MLB	Seattle Mariners	—	415	370	78	20	1	27	38	122	2	1	0	211	288	489	777	278	226	29	9	334	112	+6	+0	+16	+8	+9	4.0
2022	25	AAA	Tacoma Rainiers	—	30	28	8	2	0	1	2	7	0	0	0	286	333	464	798	179	350	23	7	352	125	+1	+0	—	—	+1	0.2
2023	26	MLB	Seattle Mariners	—	569	513	119	23	1	30	54	158	1	0	0	232	306	456	762	224	273	28	9	335	113	+9	+0	+19	+10	+12	5.1
2024	27	MLB	Seattle Mariners	—	628	546	120	16	0	34	70	176	6	6	1	220	315	436	751	216	251	28	11	331	110	+8	+1	+24	+11	+14	5.8
2025	28	MLB	Seattle Mariners	—	705	596	147	24	0	60	97	188	9	14	4	247	360	589	949	342	248	27	14	407	162	+52	+1	+21	+13	+15	10.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2465	2164	489	95	2	153	266	696	19	21	5	226	316	484	800	258	252	28	11	349	122	+65	+2	+82	+48	+53	25.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2019	22	AA MLE	Arkansas Travelers	—	159	150	30	5	0	7	9	56	0	0	0	200	245	373	619	173	262	35	6	264	65	-7	+0	—	—	+3	-0.3
2019	22	A+ MLE	Modesto Nuts	—	348	323	71	13	0	25	20	95	3	4	0	220	272	492	764	272	224	27	6	327	107	+3	+1	—	—	+8	1.2
2021	24	MLB MLE	Seattle Mariners	—	148	139	25	12	0	2	7	52	1	0	0	180	224	309	534	129	267	35	5	238	47	-9	+0	+4	+6	+3	0.4
2021	24	AAA MLE	Tacoma Rainiers	—	199	181	50	17	1	7	9	30	4	3	2	276	325	497	822	221	280	15	5	347	121	+5	-0	—	—	+4	0.9
2022	25	MLB MLE	Seattle Mariners	—	415	370	79	20	1	28	38	122	2	1	0	214	290	500	790	286	226	29	9	335	113	+6	+0	+16	+8	+9	4.0
2022	25	AAA MLE	Tacoma Rainiers	—	30	29	7	2	0	1	1	9	0	0	0	241	267	414	680	172	314	30	3	272	70	-1	+0	—	—	+1	-0.0
2023	26	MLB MLE	Seattle Mariners	—	569	513	120	23	1	31	54	158	1	0	0	234	308	464	772	230	273	28	9	335	113	+9	+0	+19	+10	+12	5.1
2024	27	MLB MLE	Seattle Mariners	—	628	546	121	16	0	35	70	176	6	6	1	222	317	443	760	222	251	28	11	327	107	+6	+1	+24	+11	+14	5.6
2025	28	MLB MLE	Seattle Mariners	—	705	596	149	24	0	62	97	188	9	14	4	250	363	602	966	352	248	27	14	392	151	+43	+1	+21	+13	+15	9.4
2019	22	A+ MLE	2 teams	—	507	473	102	19	0	32	29	150	3	4	0	216	265	459	724	243	239	30	6	307	94	—	—	—	—	—	—
2019	22	A+ RAW	2 teams	—	507	455	114	25	0	29	47	116	3	4	0	251	325	497	821	246	272	23	9	358	94	—	—	—	—	—	—
2021	24	AAA MLE	2 teams	—	347	320	76	30	1	9	16	82	5	3	2	237	284	422	706	184	285	24	5	301	90	—	—	—	—	—	—
2021	24	AAA RAW	2 teams	—	347	315	82	33	1	11	21	77	5	3	2	260	317	476	793	216	305	22	6	342	90	—	—	—	—	—	—
2022	25	MLB MLE	2 teams	—	445	399	85	22	1	28	39	131	2	1	0	213	286	484	770	271	233	29	9	331	110	+5	+0	+16	+8	+10	4.0
2022	25	MLB RAW	2 teams	—	445	398	86	22	1	28	40	129	2	1	0	216	291	487	778	271	236	29	9	335	110	+5	+0	+16	+8	+10	4.0
2023	26	MLB MLE	Seattle Mariners	—	569	513	120	23	1	31	54	158	1	0	0	234	308	464	772	230	274	28	9	335	113	+9	+0	+19	+10	+12	5.1
2023	26	MLB RAW	Seattle Mariners	—	569	513	119	23	1	30	54	158	1	0	0	232	306	456	762	224	273	28	9	335	113	+9	+0	+19	+10	+12	5.1
2024	27	MLB MLE	Seattle Mariners	—	628	546	121	16	0	35	70	176	6	6	1	222	317	443	760	222	252	28	11	327	107	+6	+1	+24	+11	+14	5.6
2024	27	MLB RAW	Seattle Mariners	—	628	546	120	16	0	34	70	176	6	6	1	220	315	436	751	216	251	28	11	331	107	+6	+1	+24	+11	+14	5.6
2025	28	MLB MLE	Seattle Mariners	—	705	596	149	24	0	62	97	188	9	14	4	250	363	602	966	352	249	27	14	392	151	+43	+1	+21	+13	+15	9.4
2025	28	MLB RAW	Seattle Mariners	—	705	596	147	24	0	60	97	188	9	14	4	247	360	589	949	342	248	27	14	407	151	+43	+1	+21	+13	+15	9.4
2019	22	A+ MLE	2 teams	—	507	470	102	19	0	32	29	150	3	4	0	217	265	462	727	245	236	30	6	307	94	—	—	—	—	—	—
2021	24	AAA MLE	2 teams	—	347	323	76	30	1	9	16	82	5	3	2	235	284	418	702	183	275	24	5	301	90	—	—	—	—	—	—
2022	25	MLB MLE	2 teams	—	445	401	85	22	1	28	39	131	2	1	0	212	286	481	768	269	232	29	9	331	110	—	—	—	—	—	—
2023	26	MLB MLE	Seattle Mariners	—	569	509	120	23	1	31	54	158	1	0	0	236	308	468	776	232	273	28	9	335	113	—	—	—	—	—	—
2024	27	MLB MLE	Seattle Mariners	—	628	547	121	16	0	35	70	176	6	6	1	221	317	442	759	221	251	28	11	327	107	—	—	—	—	—	—
2025	28	MLB MLE	Seattle Mariners	—	705	593	149	24	0	62	97	188	9	14	4	251	363	605	969	354	248	27	14	392	151	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	26	MLB MLE	Seattle Mariners	—	569	509	120	23	1	31	54	158	1	0	0	236	308	468	776	232	273	28	9	335	113	—	—	—	—	—	—
2024	27	MLB MLE	Seattle Mariners	—	628	547	121	16	0	35	70	176	6	6	1	221	317	442	759	221	251	28	11	327	107	—	—	—	—	—	—
2025	28	MLB MLE	Seattle Mariners	—	705	593	149	24	0	62	97	188	9	14	4	251	363	605	969	354	248	27	14	392	151	—	—	—	—	—	—
YTD	29	MLB MLE	SEA	—	494	421	78	13	0	25	66	150	4	2	1	185	301	394	696	209	213	30	13	311	97	-2	+0	+4	+9	+11	2.2
▸ 2026 season
▸ 2026 season — so far · projected rest · full
SO FAR	29	MLB RAW	SEA	—	477	406	73	13	0	21	65	147	3	2	1	180	297	367	664	187	216	31	14	300	97	-2	+0	+4	+9	+10	2.2
YTD	29	AAA RAW	SEA	—	17	14	6	0	0	5	2	2	1	0	0	429	529	1.500	2.029	1.071	143	12	12	791	97	—	—	—	—	—	—
YTD	29	MLB RAW	SEA	—	477	406	73	13	0	21	65	147	3	2	1	180	297	367	664	187	216	31	14	300	89	-6	+0	+4	+9	+10	1.8
ROS	29	MLB MLE	SEA	100%	9	8	2	0	0	1	1	3	0	0	0	250	333	625	958	375	235	33	11	342	118	+0	+0	+0	+0	+0	0.1
ROS	29	MLB CTX	SEA	100%	9	8	2	0	0	1	1	3	0	0	0	250	333	625	958	375	232	33	11	331	118	+0	+0	+0	+0	+0	0.1
FULL	29	MLB A+C	SEA	—	486	414	75	13	0	22	66	150	3	2	1	181	298	372	670	191	216	31	14	301	97	-2	+0	+5	+9	+11	2.2
TOT	29	MLB MLE	SEA	—	503	429	80	13	0	26	67	153	4	2	1	186	302	399	701	212	213	30	13	311	97	-2	+0	+5	+9	+11	2.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	30	MLB MLE	SEA	100%	520	441	97	18	0	31	69	153	5	4	1	220	332	472	804	252	251	29	13	350	123	+14	+0	+9	+9	+11	4.6
2028	31	MLB MLE	SEA	100%	504	428	91	17	0	29	67	150	4	3	1	213	325	456	780	243	247	30	13	346	120	+12	+0	+8	+9	+11	4.1
2029	32	MLB MLE	SEA	100%	489	418	87	16	0	28	64	147	4	3	1	208	319	447	766	239	243	30	13	340	116	+9	+0	+7	+9	+11	3.7
2030	33	MLB MLE	SEA	100%	473	404	82	15	0	26	62	145	4	2	1	203	315	433	748	230	236	31	13	332	111	+6	+0	+6	+8	+10	3.2
2031	34	MLB MLE	SEA	100%	458	391	77	13	0	25	60	143	4	1	0	197	310	422	732	225	228	31	13	322	104	+2	+0	+5	+8	+10	2.6
2032	35	MLB MLE	SEA	100%	406	347	65	11	0	21	53	130	3	1	0	187	300	401	701	213	219	32	13	311	96	-2	+0	+3	+7	+9	1.8
2033	36	MLB MLE	SEA	100%	341	291	52	8	0	17	44	112	3	0	0	179	293	381	674	203	210	33	13	299	88	-5	+0	+1	+6	+7	1.0
2027	30	MLB CTX	SEA	100%	520	441	95	18	0	30	69	153	5	4	1	215	328	460	788	245	248	29	13	339	123	+14	+0	+9	+9	+11	4.6
2028	31	MLB CTX	SEA	100%	504	428	91	17	0	29	67	150	4	3	1	213	325	456	780	243	244	30	13	335	120	+12	+0	+8	+9	+11	4.1
2029	32	MLB CTX	SEA	100%	489	418	86	16	0	27	64	147	4	3	1	206	317	438	755	232	240	30	13	329	116	+9	+0	+7	+9	+11	3.7
2030	33	MLB CTX	SEA	100%	473	404	81	14	0	26	62	145	4	2	1	200	313	428	741	228	234	31	13	322	111	+6	+0	+6	+8	+10	3.2
2031	34	MLB CTX	SEA	100%	458	391	75	13	0	24	60	143	4	1	0	192	305	409	715	217	226	31	13	312	104	+2	+0	+5	+8	+10	2.6
2032	35	MLB CTX	SEA	100%	406	347	63	10	0	20	53	130	3	1	0	182	295	383	679	202	217	32	13	301	96	-2	+0	+3	+7	+9	1.8
2033	36	MLB CTX	SEA	100%	341	291	51	8	0	16	44	112	3	0	0	175	290	368	658	192	208	33	13	290	88	-5	+0	+1	+6	+7	1.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5665	4892	1033	191	2	326	686	1679	46	35	9	211	314	451	765	240	242	30	12	333	112	+102	+3	+124	+105	+123	46.7
/ 162G	—	A+C		—	650	561	118	22	0	37	79	193	5	4	1	210	313	447	761	237	242	30	12	333	112	+12	+0	+14	+12	+14	5.4
Career	—	MLE		—	6401	5575	1206	232	3	375	725	1868	53	42	11	216	312	461	773	244	247	29	11	334	112	+102	+3	+124	+105	+123	46.7
/ 162G	—	MLE		—	650	566	123	24	0	38	74	190	5	4	1	217	313	461	774	244	249	29	11	334	112	+12	+0	+14	+12	+14	5.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Yasmani Grandallast yr '24 career totals — 13 seasons, 4,885 PA	7.4	4,885	194	13	236	345	424	+87	+201	53.8	48.5
/162	664	26	2	+11.9	+27.3	7.3	pk7: 43
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 14 projected seasons	10.0	6,653	386	44	213	313	456	+92	+202	41.3	35.9
/162	664	38	4	+9.2	+20.2	4.1	pk7: 31
#2J.J. Hardylast yr '17 career totals — 13 seasons, 6,309 PA	9.5	6,309	188	8	256	305	408	+68	+163	40.4	35.7
/162	664	20	1	+7.1	+17.2	4.3	pk7: 31
#3Brandon Crawfordlast yr '24 career totals — 14 seasons, 6,318 PA	9.5	6,318	147	47	249	318	395	+68	+142	38.8	34.0
/162	664	15	5	+7.1	+14.9	4.1	pk7: 29
#4Kyle Seagerlast yr '21 career totals — 11 seasons, 6,204 PA	9.3	6,204	242	55	251	321	442	+22	+55	35.4	32.4
/162	664	26	6	+2.4	+5.8	3.8	pk7: 29
#5Matt Wieterslast yr '19 career totals — 11 seasons, 4,387 PA	6.6	4,387	146	9	250	313	411	+78	+81	30.0	28.4
/162	664	22	1	+11.9	+12.2	4.5	pk7: 27
#6Tyler Flowerslast yr '20 career totals — 10 seasons, 2,741 PA	4.1	2,741	86	2	238	319	394	+49	+142	27.5	25.8
/162	664	21	0	+11.9	+34.4	6.7	pk7: 24

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
Cal Raleigh (OGILVIE)	29	45	60	40	40	208/319/453	245	235	31	4	29%	13%	118	+2.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Yasmani Grandal 2018 · MLB	29	45→55	59→60	36→40	54	241/326/450	208	285	27	2	26%	11%	118	+2.6	244/351/455	211	292	26	4	24%	14%	128	+3.4	236/384/459	223	274	28	2	24%	19%	138	+2.8
●Matt Chapman 2022 · MLB	29	42→52	62→65	44→50	52	231/323/462	231	284	31	4	30%	11%	120	+2.8	236/326/439	203	299	24	6	28%	11%	116	+2.5	243/336/451	208	299	23	10	25%	11%	119	+2.6
✕Jarrod Saltalamacchia 2013 · MLB	28	41→51	60	44→40	44	226/288/439	213	278	28	3	30%	8%	102	+1.5	240/315/425	185	328	21	4	31%	10%	108	+1.9	237/319/411	175	330	19	2	32%	10%	102	+1.0
●Sean Murphy 2022 · MLB	27	43→50	58→60	44→30	51	232/322/439	206	274	26	2	26%	10%	114	+2.4	243/334/439	196	283	23	2	22%	10%	118	+2.7	239/334/433	194	276	23	0	22%	10%	115	+1.8
✕Jedd Gyorko 2018 · MLB	29	48→53	61→60	45	50	260/325/474	213	289	30	5	22%	9%	123	+3.0	251/329/427	176	294	22	6	22%	10%	114	+2.3	242/328/403	161	284	21	4	22%	11%	106	+0.7
●Mike Zunino 2019 · MLB	28	42→48	63→65	45→30	41	230/299/461	230	301	32	2	34%	8%	112	+2.2	207/277/428	221	271	31	3	35%	8%	96	+1.0	194/275/458	264	237	40	0	37%	9%	101	+0.5
✕Danny Jansen 2023 · MLB	28	44→54	62→65	47→45	53	242/322/467	225	255	30	4	20%	10%	121	+2.9	229/318/430	201	251	26	3	21%	10%	111	+2.1	213/312/400	187	235	25	0	22%	11%	100	+0.7
✕Brian McCann 2014 · MLB	30	47→57	60	43→45	55	255/330/463	208	259	30	3	16%	10%	122	+3.0	237/311/419	182	247	26	2	17%	9%	105	+1.7	233/324/414	181	245	26	1	18%	10%	105	+1.3
✕Travis Shaw 2019 · MLB	29	47→52	60	49→45	56	250/337/469	219	275	28	7	21%	11%	126	+3.2	221/317/403	182	269	24	5	26%	12%	104	+1.6	199/299/360	162	250	22	2	29%	12%	85	+0.1
✕Geovany Soto 2012 · MLB	29	47→57	55→60	42→30	56	244/336/435	192	289	23	2	24%	12%	118	+2.7	225/299/390	165	278	20	4	25%	9%	95	+0.9	229/301/401	172	302	22	1	30%	9%	94	+0.3
●Evan Longoria 2014 · MLB	28	50→58	61→65	42→50	55	265/346/495	231	295	29	3	22%	11%	136	+3.9	261/326/450	189	298	23	3	20%	8%	118	+2.6	263/319/457	194	293	23	3	19%	7%	112	+2.4
✕Andruw Jones 2008 · MLB	31	43→53	62→70	45→50	56	242/334/473	232	252	31	5	20%	11%	126	+3.2	219/316/419	200	249	25	8	23%	12%	107	+1.9	225/337/468	243	244	33	10	23%	14%	123	+1.5
●Eugenio Suárez 2021 · MLB	30	45→52	66→65	46→50	53	250/341/502	252	289	36	4	27%	11%	135	+3.9	223/314/436	213	279	29	2	30%	11%	111	+2.1	236/315/461	225	290	32	2	29%	8%	115	+2.7
●Russell Branyan 2004 · MLB	28	44→45	61→70	43→45	50	231/323/455	224	311	29	5	34%	12%	118	+2.7	242/339/482	240	334	31	5	34%	12%	130	+3.5	248/337/511	263	304	36	3	30%	11%	130	+2.5
✕David Ross 2007 · MLB	30	43	61→60	47→45	51	235/318/461	225	271	29	3	26%	10%	118	+2.6	225/311/416	191	271	24	3	26%	11%	105	+1.7	271/363/467	196	346	20	0	25%	12%	133	+1.0
✕Bobby Estalella 2003 · MLB	28	42	59→60	45	55	227/322/446	219	268	25	5	26%	12%	116	+2.5	228/312/427	199	294	25	8	30%	10%	108	+1.9	193/291/386	193	253	25	7	33%	12%	90	+0.2
●Mark Bellhorn 2003 · MLB	28	48→56	60→55	46→45	57	250/354/477	227	317	27	8	29%	13%	134	+3.8	241/352/404	163	329	16	8	28%	14%	117	+2.6	230/345/371	141	325	13	6	29%	14%	105	+1.2
★Nolan Arenado 2021 · MLB	30	51→56	60→65	43→40	55	273/342/487	214	277	29	3	14%	9%	132	+3.7	271/331/503	232	273	30	4	14%	8%	132	+3.6	272/332/506	234	274	31	3	14%	8%	128	+3.6
●Mike Moustakas 2018 · MLB	29	50→56	65	40→45	49	276/326/520	244	271	35	2	15%	6%	135	+3.9	255/321/483	228	263	30	4	17%	8%	124	+3.1	247/321/471	224	255	29	3	17%	9%	116	+1.9
✕Chris Snyder 2011 · MLB	30	42→44	55	46→30	60	221/331/402	181	261	23	2	24%	14%	109	+2.0	225/320/378	153	281	19	3	25%	12%	99	+1.3	214/300/347	133	274	17	0	27%	10%	81	-0.0

Career Stats + Projections

Career Comps

Career Path Comps