Cal Raleigh

C Seattle Mariners

Age 30 S/R 6'2" / 235 lbs MLB K +7%HR -5% Svc 4.494 · Ctrl thru 2031

Overview

MLB40-MANExtFA 2032

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	27	MLBSEA	628	.220/.315/.436	34	6	110	5.8
2025	28	MLBSEA	705	.247/.360/.589	60	14	154	9.7
2026	29	MLBSEA	530	.182/.298/.368	23	2	91	2.0
2027PROJ	30	MLBSEA	520	.212/.317/.455	31	5	118	4.4
2028PROJ	31	MLBSEA	504	.207/.312/.444	29	1	114	3.7
2029PROJ	32	MLBSEA	489	.201/.305/.431	28	1	109	3.2

Last 3 seasons WAR 17.5 · Next 3 projected WAR 11.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2031Service4.494First FA2032Options2NTC

2027Ext$18M2028Ext$18M2029Ext$18M2030Ext$18M

Skills · percentileStatcast 2024-2026

Barrel%90

xwOBA83

Bat Spd83

Chase%81

Avg EV76

Whiff%54

Form.210/.322/.456 · rolling true talent (45d window) · proj .214/.317/.464

CompsPedro Álvarez (age 30) · David Ross (age 30) · Hunter Renfroe (age 30)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 118118vR 118

AVG/OBP/SLG.212 / .317 / .455

PA520

HR31

SB5

K%29

BB%12

BABIP236

ISO244

MLB%100%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit option yr━ post-control+$41M ctrl surplus

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

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT45

Whiff%

5410.5%

xAVG

110.219

POWER60

Barrel%

9016.6

Avg EV

7690.9

Bat Spd

8374.8

EYE40

Chase%

8125.7%

SPEED40

Sprint

1725.9

Recent Formrolling true talent ⓘ

K%30%▼31% over 72 PA (45d) · proj 29%

BB%14%▲15% over 122 PA (60d) · proj 12%

ISO.247·.243 over 103 AB (60d) · proj .250

HR/BB10.0%·9.1% over 66 BBE (60d) · proj 10.5%

BABIP.243▲.300 over 60 BIP (60d) · proj .239

SLASH.210/.322/.456·proj .214/.317/.464

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
2027	Ext	$18M	+4.7	$56M	+$39M
2028	Ext	$18M	+3.7	$36M	+$20M
2029	Ext	$18M	+3.2	$26M	+$12M
2030	Ext	$18M	+2.6	$17M	+$4M
Totals		$70M		$135M	+$75M

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. 2027 = actual YTD + projected ROS + total. 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 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	69	—	—	—	—	—	—
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	107	—	—	—	—	—	—
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	49	-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	128	—	—	—	—	—	—
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	116	+8	+0	+16	+8	+9	4.1
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	80	—	—	—	—	—	—
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	115	+10	+0	+19	+10	+12	5.2
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	+7	+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	154	+45	+1	+21	+13	+15	9.7
2026	29	MLB	Seattle Mariners	—	530	451	82	15	0	23	72	164	3	2	1	182	298	368	667	186	220	31	14	301	91	-6	+0	+4	+10	+11	2.0
2026	29	AAA	Tacoma Rainiers	—	17	14	6	0	0	5	2	2	1	0	0	429	529	1.500	2.029	1.071	143	12	12	791	261	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2995	2615	571	110	2	176	338	860	22	23	6	218	313	464	777	246	247	29	11	340	116	+58	+2	+87	+58	+65	27.5
▸ 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	264	35	6	270	69	—	—	—	—	—	—
2019	22	A+ MLE	Modesto Nuts	—	348	323	71	13	0	25	20	95	3	4	0	220	272	492	764	272	223	27	6	326	107	—	—	—	—	—	—
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	240	49	-9	+0	+4	+6	+3	0.4
2021	24	AAA MLE	Tacoma Rainiers	—	199	180	52	18	1	7	10	30	4	3	2	289	340	517	857	228	289	15	5	358	128	—	—	—	—	—	—
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	339	116	+8	+0	+16	+8	+9	4.1
2022	25	AAA MLE	Tacoma Rainiers	—	30	29	8	2	0	1	1	8	0	0	0	276	300	448	748	172	328	27	3	286	80	—	—	—	—	—	—
2023	26	MLB MLE	Seattle Mariners	—	569	514	120	23	1	31	53	158	1	0	0	233	306	463	769	230	273	28	9	338	115	+10	+0	+19	+10	+12	5.2
2024	27	MLB MLE	Seattle Mariners	—	628	550	121	16	0	35	66	176	6	6	1	220	310	440	750	220	251	28	11	331	110	+7	+1	+24	+11	+14	5.8
2025	28	MLB MLE	Seattle Mariners	—	705	613	149	24	0	62	80	188	9	14	4	243	339	586	925	343	248	27	11	396	154	+45	+1	+21	+13	+15	9.7
2026	29	MLB MLE	Seattle Mariners	—	530	452	83	15	0	24	71	164	3	2	1	184	298	376	675	192	220	31	13	303	91	-6	+0	+4	+10	+11	2.0
2026	29	AAA MLE	Tacoma Rainiers	—	17	15	4	0	0	3	1	2	1	0	0	267	353	867	1.220	600	105	12	6	554	261	—	—	—	—	—	—
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	308	95	—	—	—	—	—	—
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	95	—	—	—	—	—	—
2021	24	AAA MLE	2 teams	—	347	319	77	30	1	9	17	82	5	3	2	241	290	426	717	185	291	24	5	308	94	—	—	—	—	—	—
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	94	—	—	—	—	—	—
2022	25	MLB MLE	2 teams	—	445	399	86	22	1	28	39	130	2	1	0	216	289	486	775	271	236	29	9	335	113	+7	+0	+16	+8	+10	4.1
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	113	+7	+0	+16	+8	+10	4.1
2023	26	MLB MLE	Seattle Mariners	—	569	514	120	23	1	31	53	158	1	0	0	233	306	463	769	230	273	28	9	338	115	+10	+0	+19	+10	+12	5.2
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	115	+10	+0	+19	+10	+12	5.2
2024	27	MLB MLE	Seattle Mariners	—	628	550	121	16	0	35	66	176	6	6	1	220	310	440	750	220	249	28	11	331	110	+7	+1	+24	+11	+14	5.8
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	110	+7	+1	+24	+11	+14	5.8
2025	28	MLB MLE	Seattle Mariners	—	705	613	149	24	0	62	80	188	9	14	4	243	339	586	925	343	238	27	11	396	154	+45	+1	+21	+13	+15	9.7
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	154	+45	+1	+21	+13	+15	9.7
2026	29	MLB MLE	2 teams	—	547	467	87	15	0	27	72	166	4	2	1	186	300	392	692	206	216	30	13	310	96	-2	+0	+4	+10	+12	2.4
2026	29	MLB RAW	2 teams	—	547	465	88	15	0	28	74	166	4	2	1	189	306	402	708	213	218	30	14	316	96	-2	+0	+4	+10	+12	2.4
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	308	95	—	—	—	—	—	—
2021	24	AAA MLE	2 teams	—	347	322	77	30	1	9	17	82	5	3	2	239	290	422	713	183	280	24	5	308	94	—	—	—	—	—	—
2022	25	MLB MLE	2 teams	—	445	401	86	22	1	28	39	130	2	1	0	214	289	484	772	269	233	29	9	335	113	—	—	—	—	—	—
2023	26	MLB MLE	Seattle Mariners	—	569	510	120	23	1	31	53	158	1	0	0	235	306	467	773	231	273	28	9	338	115	—	—	—	—	—	—
2024	27	MLB MLE	Seattle Mariners	—	628	551	121	16	0	35	66	176	6	6	1	220	310	439	749	220	251	28	11	331	110	—	—	—	—	—	—
2025	28	MLB MLE	Seattle Mariners	—	705	610	149	24	0	62	80	188	9	14	4	244	339	589	928	344	248	27	11	396	154	—	—	—	—	—	—
2026	29	MLB MLE	2 teams	—	547	466	87	15	0	27	72	166	4	2	1	187	300	393	693	206	217	30	13	310	96	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	27	MLB MLE	Seattle Mariners	—	628	551	121	16	0	35	66	176	6	6	1	220	310	439	749	220	251	28	11	331	110	—	—	—	—	—	—
2025	28	MLB MLE	Seattle Mariners	—	705	610	149	24	0	62	80	188	9	14	4	244	339	589	928	344	248	27	11	396	154	—	—	—	—	—	—
2026	29	MLB MLE	2 teams	—	547	466	87	15	0	27	72	166	4	2	1	187	300	393	693	206	217	30	13	310	96	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	30	MLB MLE	SEA	100%	575	494	106	18	0	35	71	165	5	6	2	215	319	464	784	249	239	29	12	343	118	+13	+0	+13	+10	+12	4.7
▸ 2027 — real world (MLB)
2027	30	MLB CTX	SEA	100%	520	446	94	16	0	31	64	150	5	5	2	212	317	455	772	243	236	29	12	339	118	+11	+0	+11	+9	+11	4.4
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	31	MLB MLE	SEA	100%	504	433	92	16	0	30	62	147	4	1	1	210	314	453	767	243	234	29	12	337	114	+8	-0	+8	+9	+11	3.7
2029	32	MLB MLE	SEA	100%	489	423	85	14	0	28	59	145	4	1	1	204	308	439	746	235	229	30	12	329	109	+5	-0	+7	+9	+11	3.2
2030	33	MLB MLE	SEA	100%	473	410	80	13	0	26	57	143	3	1	1	196	299	421	720	225	222	30	12	318	102	+1	-0	+6	+8	+10	2.6
2031	34	MLB MLE	SEA	100%	435	378	71	11	0	23	51	134	3	1	0	187	289	400	689	213	212	31	12	306	93	-4	+0	+5	+8	+9	1.9
2032	35	MLB MLE	SEA	100%	347	302	53	8	0	17	40	110	2	0	0	177	277	376	653	199	203	32	12	292	84	-7	+0	+2	+6	+8	0.9
2028	31	MLB CTX	SEA	100%	504	433	89	15	0	29	62	147	4	1	1	207	312	444	756	237	232	29	12	333	114	+8	-0	+8	+9	+11	3.7
2029	32	MLB CTX	SEA	100%	489	423	85	14	0	28	59	145	4	1	1	201	305	431	736	229	226	30	12	325	109	+5	-0	+7	+9	+11	3.2
2030	33	MLB CTX	SEA	100%	473	410	80	13	0	26	57	143	3	1	1	194	297	413	710	219	219	30	12	315	102	+1	-0	+6	+8	+10	2.6
2031	34	MLB CTX	SEA	100%	435	378	70	11	0	23	51	134	3	1	0	185	287	392	679	208	210	31	12	302	93	-4	+0	+5	+8	+9	1.9
2032	35	MLB CTX	SEA	100%	347	302	53	8	0	17	40	110	2	0	0	174	275	369	644	194	201	32	12	288	84	-7	+0	+2	+6	+8	0.9
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5243	4561	948	171	2	299	607	1539	38	27	9	208	306	443	749	235	236	29	12	329	110	+62	+2	+115	+98	+114	39.9
/ 162G	—	A+C		—	650	565	117	21	0	37	75	191	5	3	1	207	305	441	746	234	235	29	12	329	110	+8	+0	+14	+12	+14	4.9
Career	—	MLE		—	6516	5727	1219	228	3	379	689	1879	51	39	13	213	303	452	755	239	239	29	11	331	110	+74	+2	+126	+107	+125	44.3
/ 162G	—	MLE		—	650	571	122	23	0	38	69	187	5	4	1	214	304	454	757	240	240	29	11	331	110	+8	+0	+14	+12	+14	5.0

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 12 projected seasons	8.7	5,763	333	33	211	306	450	+91	+173	33.1	30.3
/162	664	38	4	+10.4	+20.0	3.8	pk7: 28
#2Tyler 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
#3Frankie Hayes'33-'47 * career totals — 12 seasons, 5,121 PA	7.7	5,121	119	30	243*	321*	421*	+91	-0	27.4	25.4
/162	664	15	4	+11.8	-0.1	3.6	pk7: 23
#4Todd Hundley'90-'03 * career totals — 13 seasons, 4,305 PA	6.5	4,305	202	14	225*	308*	440*	+72	-0	23.1	23.2
/162	664	31	2	+11.2	-0.1	3.6	pk7: 23
#5Gus Triandos'53-'65 * career totals — 12 seasons, 4,426 PA	6.7	4,426	167	1	241*	315*	433*	+56	+6	23.6	22.3
/162	664	25	0	+8.4	+0.8	3.5	pk7: 21
#6Mike Zuninolast yr '23 career totals — 11 seasons, 3,098 PA	4.7	3,098	149	2	199	271	406	+55	+123	22.4	21.9
/162	664	32	0	+11.9	+26.4	4.8	pk7: 21

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)	30	45	60	40	40	213/317/460	247	239	31	5	29%	12%	118	+2.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Pedro Álvarez 2017 · MLB	30	44→48	62→65	47→45	49	242/309/464	222	279	31	5	26%	9%	116	+2.5	226/278/410	184	274	26	3	27%	7%	91	+0.7	213/260/384	171	257	25	1	28%	6%	76	-0.3
✕David Ross 2007 · MLB	30	42	61→60	47→45	48	232/305/454	222	265	29	3	26%	8%	112	+2.2	222/300/411	189	265	25	3	26%	10%	99	+1.3	269/361/462	194	343	20	0	25%	12%	134	+1.0
●Hunter Renfroe 2022 · MLB	30	41→47	64→65	44→45	48	237/302/475	238	261	33	4	25%	8%	116	+2.5	244/306/448	204	277	27	2	23%	8%	110	+2.1	238/303/431	193	270	25	1	22%	8%	106	+1.5
●Eugenio Suárez 2022 · MLB	31	37→47	63→65	42→50	50	215/304/447	232	250	32	3	29%	10%	110	+2.1	232/320/434	202	298	27	2	30%	10%	113	+2.3	235/313/459	224	288	32	2	29%	8%	117	+2.8
✕Danny Jansen 2024 · MLB	29	43→53	63→65	47→45	50	241/318/476	235	251	32	3	20%	8%	122	+2.9	221/313/397	176	252	22	3	22%	10%	102	+1.5	205/306/363	158	237	20	1	23%	11%	92	+0.4
✕Gary Sánchez 2021 · MLB	28	33→43	64→65	43→45	48	206/293/443	236	232	34	3	30%	9%	105	+1.7	208/295/407	199	250	27	3	28%	10%	97	+1.1	221/325/412	190	258	26	0	25%	11%	110	+0.8
✕Rick Ankiel 2009 · MLB	30	44→48	62→65	45→50	45	246/301/474	227	271	32	5	24%	7%	115	+2.4	236/292/406	170	290	20	8	25%	7%	95	+1.0	227/284/376	148	298	16	9	28%	7%	86	+0.1
✕Tyler Houston 2001 · MLB	30	45	62→60	46→40	42	249/290/474	224	275	32	7	24%	6%	111	+2.1	267/310/441	174	312	22	4	21%	6%	110	+2.1	279/320/432	154	328	18	1	20%	5%	112	+0.9
✕Mike Zunino 2022 · MLB	31	34→44	72→65	47→30	43	217/296/501	284	260	42	3	35%	8%	120	+2.8	212/286/420	208	297	28	4	37%	8%	97	+1.1	162/235/305	143	246	19	0	41%	8%	53	-0.5
✕Travis Shaw 2020 · MLB	30	41→51	57→60	47→45	55	224/320/419	195	257	26	6	25%	12%	109	+2.0	215/300/383	168	267	21	4	27%	10%	94	+0.9	212/294/380	168	262	21	0	27%	10%	91	+0.3
●Matt Chapman 2023 · MLB	30	42→52	59→65	42→50	52	226/320/434	208	281	27	3	30%	11%	112	+2.2	240/328/443	203	299	23	8	26%	11%	118	+2.6	241/333/447	206	296	23	10	25%	11%	121	+2.8
●Anthony Santander 2024 · MLB	29	46→48	58→65	43→45	49	245/313/451	206	273	27	4	22%	8%	114	+2.3	228/302/443	215	246	30	4	22%	9%	108	+1.9	214/291/442	228	216	34	1	21%	9%	104	+1.3
●Eduardo Escobar 2020 · MLB	31	48→57	60	47→50	48	258/311/477	219	277	28	5	19%	7%	119	+2.7	247/301/444	197	277	24	3	20%	7%	107	+1.9	243/298/428	184	286	22	1	23%	7%	103	+1.2
●Todd Frazier 2017 · MLB	31	43→52	61→60	46→50	49	240/306/459	219	261	31	13	22%	8%	114	+2.3	226/319/425	199	254	26	8	23%	10%	110	+2.1	224/324/411	187	254	25	5	22%	11%	110	+1.8
✕Luis Valbuena 2018 · MLB	32	41→51	59→60	38→50	54	226/313/435	209	256	28	3	24%	11%	110	+2.1	220/284/386	166	289	21	7	30%	8%	88	+0.4	196/244/328	132	273	18	6	35%	6%	60	-0.8
✕Jarrod Saltalamacchia 2013 · MLB	28	40→50	60	44→40	44	225/287/438	214	275	29	3	30%	8%	101	+1.4	236/309/419	183	321	21	4	31%	9%	104	+1.6	233/311/404	171	323	19	2	32%	10%	103	+1.0
✕Jedd Gyorko 2018 · MLB	29	48→53	60	45	50	259/322/470	212	287	30	5	22%	8%	122	+2.9	249/326/424	175	291	22	6	22%	10%	112	+2.2	240/325/400	160	281	21	4	22%	10%	108	+0.7
✕Brad Miller 2021 · MLB	31	46→56	59→60	47→50	50	242/325/458	215	300	27	6	28%	10%	120	+2.8	225/306/402	177	286	23	7	29%	10%	100	+1.3	210/293/370	160	265	22	6	29%	10%	88	+0.2
★Dan Uggla 2010 · MLB	30	46→56	60→65	41→45	56	247/343/473	226	286	28	4	24%	12%	129	+3.4	256/344/474	218	297	29	4	23%	11%	130	+3.5	249/342/461	212	290	29	3	24%	11%	127	+3.7
●Mitch Garver 2021 · MLB	30	47→46	63→70	47→40	50	254/333/491	237	302	32	3	27%	10%	130	+3.5	243/335/456	213	300	28	4	27%	11%	123	+3.0	242/341/455	213	290	29	1	26%	12%	124	+1.5

Cal Raleigh

Career Stats + Projections

Career Comps

Career Path Comps