Logan Sauve — OGILVIE

Logan SauveC Stockton Ports

Age 24 R/R A HR -5% Svc 0.0 · Ctrl thru 2037

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 259 proj PA

wRC+†73

AVG/OBP/SLG.213 / .299 / .296

PA259

HR2

K%26

BB%10

ISO84

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$10M ctrl surplus

Tools · ContractCON 52 / POW 30

Toolsscout grade

CONTACT52

scouting grade only

POWER30

scouting grade only

EYE56

scouting grade only

SPEED44

scouting grade only

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	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	—	—	—
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		$0.9M		$0.8M	+$0.3M

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)
2026	23	AA	Midland RockHounds	—	40	32	7	2	0	0	7	12	0	2	0	219	359	281	640	62	350	30	18	299	53	—	—	—	—	—	—
2026	23	A+	Lansing Lugnuts	—	92	72	19	5	0	0	13	15	4	0	0	264	404	333	738	69	322	16	14	338	82	—	—	—	—	—	—
2026	23	A	Stockton Ports	—	141	115	29	6	0	1	21	22	4	2	1	252	386	330	716	78	301	16	15	335	71	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	23	AA MLE	Midland RockHounds	—	40	34	7	2	0	0	5	15	0	2	0	206	308	265	572	59	322	38	12	247	53	—	—	—	—	—	—
2026	23	A+ MLE	Lansing Lugnuts	—	92	76	18	4	0	0	9	19	4	0	0	237	348	289	638	53	288	21	10	290	82	—	—	—	—	—	—
2026	23	A MLE	Stockton Ports	—	141	122	27	5	0	1	14	30	4	2	1	221	321	287	608	66	274	21	10	273	71	—	—	—	—	—	—
2026	23	A MLE	3 teams	—	273	231	51	11	0	1	29	64	8	4	1	221	328	281	610	61	296	23	11	275	72	—	—	—	—	—	—
2026	23	A RAW	3 teams	—	273	219	55	13	0	1	41	49	8	4	1	251	388	324	712	73	314	18	15	331	72	—	—	—	—	—	—
2026	23	A MLE	3 teams	—	273	234	51	11	0	1	29	64	8	4	1	218	328	278	606	60	286	23	11	275	72	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	23	A MLE	3 teams	—	273	234	51	11	0	1	29	64	8	4	1	218	328	278	606	60	286	23	11	275	72	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	24	MLB MLE	OAK	0%	323	284	61	12	2	3	31	84	5	5	1	215	302	298	600	84	291	26	10	277	73	-10	+1	+0	+6	+7	0.4
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	OAK	38%	311	274	60	12	2	3	30	80	4	5	1	217	304	309	612	91	291	26	10	281	76	-9	+1	+0	+6	+7	0.4
2029	26	MLB MLE	OAK	55%	366	323	71	14	2	5	35	94	5	6	1	219	305	316	621	97	291	26	10	284	79	-9	+1	+0	+7	+8	0.6
2030	27	MLB MLE	OAK	61%	389	344	76	15	2	5	37	99	5	6	2	219	305	318	623	99	290	25	10	285	79	-10	+0	+0	+7	+8	0.6
2031	28	MLB MLE	OAK	64%	403	357	77	15	2	5	38	103	5	5	2	219	303	318	621	99	289	26	9	284	78	-10	+0	-1	+7	+9	0.5
2032	29	MLB MLE	OAK	70%	403	357	77	15	2	5	38	104	5	5	2	218	301	316	618	98	288	26	9	282	77	-11	+0	-1	+7	+9	0.4
2033	30	MLB MLE	OAK	68%	402	357	77	15	2	5	37	105	5	5	2	215	298	308	606	94	286	26	9	278	74	-12	+0	-2	+7	+9	0.2
2034	31	MLB MLE	OAK	66%	378	336	70	14	1	4	35	100	4	4	3	210	293	298	591	88	283	26	9	272	70	-13	-0	-3	+7	+8	-0.2
2028	25	MLB CTX	OAK	38%	117	103	23	5	1	1	11	30	2	2	0	224	310	320	630	96	301	26	9	288	76	-3	+0	+0	+2	+3	0.2
2029	26	MLB CTX	OAK	55%	203	179	40	9	1	2	19	52	3	3	1	226	311	328	639	102	301	26	9	291	79	-5	+0	+0	+4	+4	0.3
2030	27	MLB CTX	OAK	61%	239	211	47	10	1	3	23	61	3	4	1	226	311	330	640	104	300	26	10	292	79	-6	+0	+0	+4	+5	0.4
2031	28	MLB CTX	OAK	64%	260	230	51	11	1	3	25	67	3	3	1	226	309	329	639	104	299	26	10	291	78	-7	+0	-0	+5	+6	0.3
2032	29	MLB CTX	OAK	70%	282	250	56	12	1	4	26	73	4	3	1	224	307	327	635	103	298	26	9	289	77	-8	+0	-1	+5	+6	0.3
2033	30	MLB CTX	OAK	68%	272	242	53	11	1	3	25	71	3	3	1	221	304	319	623	98	296	26	9	284	74	-8	+0	-1	+5	+6	0.1
2034	31	MLB CTX	OAK	66%	250	222	48	10	1	3	23	66	3	2	2	217	299	309	608	92	292	26	9	278	70	-9	-0	-2	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1623	1437	318	68	7	19	152	420	21	20	7	221	305	318	623	97	298	26	9	288	76	-46	+1	-5	+29	+35	1.5
/ 162G	—	A+C		—	650	576	128	27	3	8	61	168	8	8	3	222	305	321	627	99	298	26	9	288	76	-18	+0	-2	+12	+14	0.6
Career	—	MLE		—	3184	2807	608	121	14	35	304	816	45	44	15	217	303	307	610	90	290	26	10	280	76	-83	+2	-7	+52	+63	2.8
/ 162G	—	MLE		—	650	573	124	25	3	7	62	167	9	9	3	216	303	307	610	91	290	26	10	280	76	-19	+1	-2	+12	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#2Jacob Stallingslast yr '25 career totals — 7 seasons, 1,850 PA	2.8	1,850	33	0	229	310	340	+33	+50	10.3	10.3
/162	664	12	0	+11.9	+17.9	3.7	pk7: 10
#3Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#4Adeiny Hechavarríalast yr '20 career totals — 9 seasons, 3,288 PA	5.0	3,288	37	35	253	291	351	+32	+46	8.6	8.8
/162	664	7	7	+6.5	+9.3	1.7	pk7: 9
#5Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#6Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.8	1,882	23	25	217	299	312	+34	+20	3.1	3.0
/162	664	8	9	+11.9	+7.1	1.1	pk7: 3

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
Logan Sauve (OGILVIE)	24	52	30	44	56	213/299/296	83	291	2	4	26%	10%	73	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Tyler Smith 2015 · AA	24	49→54	41→40	47→50	48	235/305/339	103	298	8	10	23%	8%	84	+0.1	233/291/317	84	297	6	8	22%	7%	74	-0.6	226/283/300	74	288	5	7	22%	6%	63	-1.0
✕Jeff Dragicevich 2007 · AA	24	48	39→40	42→40	47	224/296/316	92	308	6	5	27%	8%	76	-0.4	229/301/344	115	314	12	5	29%	8%	84	+0.1	228/304/350	122	308	14	2	29%	9%	84	+0.1
✕Freddy Zamora 2023 · AA	24	47→52	40	49→50	46	225/293/314	89	300	7	11	26%	8%	74	-0.5	216/287/298	82	290	6	14	26%	8%	68	-1.0	212/288/284	72	281	5	16	24%	8%	63	-0.9
✕Onix Vega 2023 · AAA	24	45	39→30	47→45	45	214/286/297	82	285	6	7	26%	7%	68	-1.0	202/274/271	69	262	5	6	23%	8%	57	-1.8	187/269/229	42	239	2	5	21%	9%	45	-1.0
✕Louis Ott 2009 · AA	24	48	37→30	42→45	47	224/293/293	68	313	4	6	28%	8%	69	-0.9	229/303/303	74	328	5	8	29%	9%	75	-0.5	239/324/289	50	345	4	7	28%	11%	78	-0.1
✕Jon Schemmel 2007 · A	24	51	36→30	42→45	53	238/316/307	69	296	3	6	19%	9%	81	-0.1	225/304/294	69	281	4	6	20%	8%	74	-0.5	220/307/274	54	272	3	4	19%	8%	69	-0.4
✕Juan Fernandez 2023 · AAA	24	51→58	38→40	50	45	244/301/321	77	309	6	10	22%	6%	78	-0.3	238/299/333	95	286	9	11	19%	7%	81	-0.1	234/299/328	94	270	10	11	17%	7%	76	-0.3
✕Jorge Flores 2016 · AA	24	54→56	36→30	41→50	48	252/307/317	65	302	2	11	17%	6%	79	-0.2	214/263/290	76	263	6	9	20%	5%	57	-1.8	215/282/280	65	262	6	10	19%	6%	61	-0.9
✕Taylor Krick 2012 · A	24	46	36→30	40	48	214/300/271	57	290	4	5	26%	8%	68	-1.0	232/315/301	69	320	3	5	26%	8%	80	-0.2	242/331/304	62	336	1	3	25%	9%	83	+0.0
✕Andy González 2006 · AA	24	52→54	38→40	42→50	49	244/307/323	80	310	5	7	22%	8%	81	-0.1	229/299/323	94	297	8	11	24%	8%	78	-0.3	219/294/312	93	284	9	11	24%	9%	73	-0.4
✕Tim Hutting 2006 · AA	24	52	38→40	50	47	243/313/327	84	312	4	11	22%	7%	84	+0.2	229/289/316	87	295	7	9	24%	7%	73	-0.6	220/278/287	67	283	7	5	23%	6%	58	-1.1
✕Jonathan Diaz 2009 · AA	24	45→48	36→30	42→50	59	206/320/279	73	259	3	6	19%	12%	78	-0.3	211/301/275	64	263	3	6	19%	10%	69	-0.9	215/300/270	55	268	2	7	18%	9%	65	-0.8
✕Alfredo Lopez 2014 · AA	24	51	35→30	46→50	49	236/299/297	61	289	3	12	18%	7%	72	-0.7	224/280/287	63	280	2	15	19%	6%	62	-1.4	235/280/279	45	285	1	20	17%	5%	56	-0.6
✕Luke Maile 2015 · AA	24	50	40	48→40	46	236/289/333	97	295	6	5	22%	6%	76	-0.4	208/255/297	89	258	7	3	22%	5%	55	-1.9	227/310/346	119	311	10	4	28%	9%	88	+0.1
✕Travis Harrison 2017 · AA	24	44→50	38→40	42→45	46	207/286/293	86	290	5	9	28%	8%	68	-1.0	189/274/282	93	286	6	9	33%	8%	61	-1.5	139/245/223	84	222	4	5	35%	9%	36	-1.8
✕Jamie Ritchie 2018 · AA	25	50→53	39→40	47→45	53	234/321/318	83	305	6	6	23%	10%	86	+0.3	236/313/333	97	310	7	6	24%	9%	86	+0.3	247/328/340	93	319	6	3	22%	9%	90	+0.3
✕Andy Paz 2017 · AA	24	50	38→40	51→45	47	239/294/318	80	305	6	7	23%	7%	74	-0.5	224/272/294	70	295	5	9	24%	6%	61	-1.5	200/241/219	19	270	0	7	24%	5%	29	-1.3
✕Murphy Stehly 2024 · AA	25	51	38→40	47→50	42	240/301/322	82	315	5	11	24%	6%	79	-0.2	210/277/309	99	296	8	9	30%	6%	68	-1.0	193/266/298	105	274	9	7	31%	6%	59	-0.6
✕Stephen Bruno 2015 · AA	24	51→52	39→40	49→50	41	241/299/334	93	312	4	8	23%	5%	80	-0.1	232/287/325	93	296	7	11	23%	4%	74	-0.5	218/273/299	81	267	8	11	20%	4%	62	-0.7
✕Matt Kennelly 2013 · AA	24	48	39→40	45→40	46	228/285/316	89	281	6	5	21%	6%	71	-0.8	220/272/287	67	272	3	5	19%	6%	59	-1.6	212/266/248	36	265	0	1	19%	6%	45	-1.4

Career Stats + Projections

Career Comps

Career Path Comps