Yannic Walther — OGILVIE

Yannic WaltherC Wilson Warbirds

Age 22 R/R 6'0" / 185 lbs A HR +10%K +6% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION246 act + 23 ros · stats below = ROS only

showingROS

wRC+†43

AVG/OBP/SLG.190 / .261 / .238

PA23

HR0

K%35

BB%9

BABIP267

ISO48

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Tools · ContractCON 25 / POW 20

Toolsscout grade

CONTACT25

scouting grade only

POWER20

scouting grade only

EYE55

scouting grade only

SPEED40

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Arb-1	$0.2M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.4M	+$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. 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)
2023	19	ROK	DSL Brewers 1	—	132	102	24	4	0	1	26	37	2	0	1	235	400	304	704	69	348	28	20	333	112	+2	-0	—	—	+3	0.4
2024	20	ROK	ACL Brewers	—	51	44	8	3	0	0	6	12	0	0	1	182	280	250	530	68	242	24	12	246	53	-3	-0	—	—	+1	-0.2
2025	21	A	Carolina Mudcats	—	236	200	40	11	0	1	33	69	2	0	2	200	319	270	589	70	298	29	14	280	76	-7	-1	—	—	+5	-0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	19	ROK MLE	DSL Brewers 1	—	132	112	18	3	0	1	16	54	2	0	1	161	277	214	491	54	261	41	12	222	36	-10	-0	—	—	+3	-0.8
2024	20	ROK MLE	ACL Brewers	—	51	46	6	2	0	0	4	17	0	0	1	130	200	174	374	43	182	33	8	164	-3	-6	-0	—	—	+1	-0.6
2025	21	A MLE	Carolina Mudcats	—	236	212	33	8	0	1	21	95	2	0	2	156	238	208	446	52	273	40	9	207	26	-21	-1	—	—	+5	-1.7
2023	19	ROK MLE	DSL Brewers 1	—	132	112	18	3	0	1	16	54	2	0	1	161	277	214	491	54	288	41	12	222	36	—	—	—	—	—	—
2023	19	ROK RAW	DSL Brewers 1	—	132	102	24	4	0	1	26	37	2	0	1	235	400	304	704	69	348	28	20	333	36	—	—	—	—	—	—
2024	20	ROK MLE	ACL Brewers	—	51	46	6	2	0	0	4	17	0	0	1	130	200	174	374	43	200	33	8	164	-3	—	—	—	—	—	—
2024	20	ROK RAW	ACL Brewers	—	51	44	8	3	0	0	6	12	0	0	1	182	280	250	530	68	242	24	12	246	-3	—	—	—	—	—	—
2025	21	A MLE	Carolina Mudcats	—	236	212	33	8	0	1	21	95	2	0	2	156	238	208	446	52	274	40	9	207	26	—	—	—	—	—	—
2025	21	A RAW	Carolina Mudcats	—	236	200	40	11	0	1	33	69	2	0	2	200	319	270	589	70	298	29	14	280	26	—	—	—	—	—	—
2023	19	ROK MLE	DSL Brewers 1	—	132	113	18	3	0	1	16	54	2	0	1	159	277	212	489	53	261	41	12	222	36	—	—	—	—	—	—
2024	20	ROK MLE	ACL Brewers	—	51	47	6	2	0	0	4	17	0	0	1	128	200	170	370	43	182	33	8	164	-3	—	—	—	—	—	—
2025	21	A MLE	Carolina Mudcats	—	236	211	33	8	0	1	21	95	2	0	2	156	238	209	447	52	273	40	9	207	26	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	DSL Brewers 1	—	132	113	18	3	0	1	16	54	2	0	1	159	277	212	489	53	261	41	12	222	36	—	—	—	—	—	—
2024	20	ROK MLE	ACL Brewers	—	51	47	6	2	0	0	4	17	0	0	1	128	200	170	370	43	182	33	8	164	-3	—	—	—	—	—	—
2025	21	A MLE	Carolina Mudcats	—	236	211	33	8	0	1	21	95	2	0	2	156	238	209	447	52	273	40	9	207	26	—	—	—	—	—	—
YTD	22	A MLE	MIL	—	246	214	32	5	0	3	27	109	1	2	0	150	248	215	463	65	276	44	11	216	33	-20	+0	+0	+4	+5	-1.0
▸ 2026 season
YTD	22	A RAW	MIL	—	125	100	17	1	0	2	23	37	1	2	0	170	331	240	571	70	242	30	18	279	33	—	—	—	—	—	—
YTD	22	A+ RAW	MIL	—	121	101	24	6	0	2	17	42	0	0	0	238	347	356	704	119	373	35	14	316	33	—	—	—	—	—	—
ROS	22	A MLE	MIL	0%	23	21	4	1	0	0	2	8	0	0	0	190	261	238	499	48	269	35	9	232	43	-2	+0	+0	+0	+0	-0.1
TOT	22	A MLE	MIL	—	269	235	36	6	0	3	29	117	1	2	0	153	249	217	466	64	280	43	11	218	33	-21	+0	+0	+5	+6	-1.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	MIL	34%	295	262	49	10	1	4	29	99	2	3	1	187	273	279	552	92	275	34	10	250	55	-16	+0	+0	+5	+6	-0.4
2028	24	MLB MLE	MIL	46%	377	334	63	12	1	6	37	123	3	5	1	189	275	284	560	96	277	33	10	260	62	-17	+1	+0	+7	+8	-0.2
2029	25	MLB MLE	MIL	52%	422	375	72	14	1	7	41	135	3	5	1	192	277	291	568	99	278	32	10	266	66	-17	+1	+0	+8	+9	0.0
2030	26	MLB MLE	MIL	54%	450	399	78	15	1	8	44	143	4	6	2	195	282	298	580	103	279	32	10	269	68	-17	+0	+0	+8	+10	0.1
2031	27	MLB MLE	MIL	58%	461	408	81	16	1	9	46	146	4	6	2	199	286	309	595	110	278	32	10	269	68	-18	+0	+0	+8	+10	0.1
2032	28	MLB MLE	MIL	56%	464	411	80	15	1	9	46	148	4	6	2	195	282	302	584	107	278	32	10	268	67	-18	+0	-1	+8	+10	0.0
2033	29	MLB MLE	MIL	59%	459	406	78	15	1	8	46	147	4	6	2	192	281	293	574	101	277	32	10	266	66	-19	+0	-1	+8	+10	-0.1
2034	30	MLB MLE	MIL	61%	451	400	77	15	1	8	45	146	3	5	1	193	279	295	574	102	275	32	10	263	64	-19	+1	-2	+8	+10	-0.3
2027	23	MLB CTX	MIL	34%	101	89	16	3	0	1	10	34	1	1	0	180	270	247	517	67	273	34	10	244	55	-5	+0	+0	+2	+2	-0.1
2028	24	MLB CTX	MIL	46%	174	154	30	6	1	3	17	57	1	2	1	195	279	305	584	110	275	33	10	255	62	-8	+0	+0	+3	+4	-0.1
2029	25	MLB CTX	MIL	52%	218	193	38	7	1	4	21	70	2	3	1	197	282	306	588	109	277	32	10	261	66	-9	+0	+0	+4	+5	0.0
2030	26	MLB CTX	MIL	54%	244	216	43	8	1	5	24	77	2	3	1	199	285	315	600	116	277	32	10	263	68	-9	+0	+0	+4	+5	0.1
2031	27	MLB CTX	MIL	58%	269	238	47	9	1	5	27	85	2	3	1	197	285	307	591	109	277	32	10	263	68	-10	+0	+0	+5	+6	0.1
2032	28	MLB CTX	MIL	56%	262	232	46	9	1	5	26	84	2	3	1	198	285	310	595	112	276	32	10	263	67	-10	+0	-0	+5	+6	-0.0
2033	29	MLB CTX	MIL	59%	271	240	47	9	1	5	27	87	2	3	1	196	283	304	587	108	275	32	10	261	66	-11	+0	-1	+5	+6	-0.1
2034	30	MLB CTX	MIL	61%	275	243	47	9	1	5	28	89	2	3	1	193	282	300	582	107	274	32	10	258	64	-12	+0	-1	+5	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1814	1605	314	60	7	33	180	583	14	21	7	196	282	303	586	108	282	32	10	260	61	-74	+1	-3	+32	+39	-0.4
/ 162G	—	A+C		—	650	575	113	21	3	12	64	209	5	8	3	197	283	306	589	110	283	32	10	260	61	-27	+1	-1	+12	+14	-0.1
Career	—	MLE		—	3821	3386	639	126	8	61	377	1261	31	42	16	189	276	285	561	96	277	33	10	258	61	-142	+4	-4	+61	+74	-0.8
/ 162G	—	MLE		—	650	576	108	21	1	10	64	215	5	7	3	188	274	280	554	92	277	33	10	258	61	-27	+1	-1	+12	+14	-0.2

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
#2Jeff Mathislast yr '20 career totals — 15 seasons, 3,003 PA	4.5	3,003	53	12	194	253	300	+54	+136	11.2	10.8
/162	664	12	3	+11.9	+30.1	2.5	pk7: 10
#3Sandy 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
#4Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#5Ryan 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
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.1	2,048	33	26	194	277	293	+37	+20	0.7	0.9
/162	664	11	8	+11.9	+6.5	0.2	pk7: 1
#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	+4.9	-2.1	-0.4	pk7: -1

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
Yannic Walther (OGILVIE)	22	25	20	40	55	169/257/233	63	269	2	3	35%	10%	43	-1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Willy Diaz 2015 · A	21	36	36→40	45→40	46	170/263/235	65	253	4	5	32%	9%	47	-2.6	187/263/267	80	309	5	4	37%	8%	53	-2.1	184/258/270	86	308	5	2	39%	8%	49	-0.9
✕Claudio Finol 2022 · A	22	40	38→40	46→45	40	194/253/278	85	271	5	6	29%	6%	51	-2.3	196/253/280	84	275	6	9	29%	6%	51	-2.2	192/260/271	78	271	9	12	31%	7%	51	-0.6
✕Luis Sanchez 2008 · A	21	37	36→30	45→40	44	178/253/238	60	259	4	7	31%	8%	42	-2.9	198/256/251	53	276	2	4	27%	7%	45	-2.7	190/246/233	43	263	1	2	26%	7%	36	-1.6
✕Gilbert Gomez 2014 · A	22	43→37	36→40	40→50	43	198/268/263	65	304	3	7	34%	8%	53	-2.1	182/262/260	78	284	4	8	34%	9%	51	-2.3	156/247/238	82	240	4	8	33%	10%	39	-1.5
✕Victor Moscote 2016 · A	22	43	34→30	43→45	43	201/255/254	54	266	2	4	24%	6%	45	-2.7	204/261/269	65	280	3	4	26%	6%	51	-2.2	216/283/267	51	281	3	2	22%	6%	56	-0.5
✕Franklin Tineo 2017 · A	22	36	38→45	46→50	45	179/245/253	75	239	5	10	26%	7%	42	-2.9	198/277/298	100	282	8	10	30%	8%	65	-1.2	201/298/325	124	262	10	12	25%	10%	77	-0.1
✕Kyle Overstreet 2016 · A	22	40→46	37→40	42→30	45	191/256/261	70	267	4	4	28%	8%	48	-2.5	226/281/319	93	286	8	3	22%	7%	70	-0.8	229/273/318	89	279	9	1	21%	5%	64	-0.8
✕Wilkin Grullon 2022 · A	22	40	37→30	46→45	41	189/264/263	74	280	5	4	32%	7%	52	-2.2	196/257/296	100	321	9	5	39%	7%	57	-1.8	151/209/258	107	249	12	0	42%	6%	27	-0.7
✕David Narodowski 2011 · A	22	37	39→40	42→45	47	184/262/267	82	249	8	7	28%	9%	53	-2.1	202/263/289	87	282	6	8	29%	7%	57	-1.8	190/245/265	75	263	4	7	28%	7%	42	-0.7
✕Felix Familia 2021 · A	22	41	35→30	48→45	45	195/266/257	62	273	3	7	28%	7%	51	-2.2	206/258/268	62	295	4	4	30%	6%	50	-2.3	197/248/240	43	279	3	1	29%	5%	36	-1.0
✕J.C. Millan 2018 · A	22	40	37→40	45→30	36	194/235/270	76	278	4	8	31%	4%	41	-3.0	218/265/312	94	270	8	6	22%	6%	63	-1.4	223/270/312	90	261	9	4	18%	6%	61	-0.6
✕Dereck Salom 2023 · A	22	42	35→30	43→40	45	199/257/256	57	260	2	6	23%	6%	47	-2.6	195/279/253	58	261	3	5	24%	10%	55	-1.9	183/279/228	45	244	3	4	24%	11%	50	-1.3
✕Aaron Shipman 2013 · A	21	40→37	35→30	44→50	48	187/266/245	59	273	2	9	30%	9%	49	-2.4	224/306/292	68	309	2	16	25%	10%	74	-0.6	243/332/303	60	328	1	21	23%	11%	81	-0.0
✕Alex Todd 2012 · A	22	39	37→40	44→45	39	187/248/259	72	259	4	4	28%	5%	45	-2.7	223/289/310	87	301	6	6	26%	6%	72	-0.7	241/310/327	86	323	6	5	25%	5%	81	-0.0
✕Gerardo Bustamante 2008 · A	22	38	39→40	42→50	40	189/237/273	83	260	8	4	30%	6%	43	-2.8	198/258/276	78	270	5	5	27%	7%	52	-2.2	215/252/293	77	268	9	12	23%	4%	50	-0.7
✕Narbe Cruz 2023 · A	22	41	38→45	44→45	40	196/250/274	78	266	5	7	27%	5%	49	-2.4	214/267/306	92	306	8	6	31%	5%	62	-1.4	214/268/307	93	310	9	6	32%	5%	59	-0.8
✕Alexis Wilson 2019 · A	22	41	38→40	48→30	45	195/262/274	79	264	5	4	27%	8%	53	-2.1	220/270/311	91	282	9	5	24%	6%	64	-1.3	224/269/304	80	272	10	1	21%	5%	59	-0.6
✕Luis De La Cruz 2011 · A	22	39	40→30	47→30	38	193/228/291	98	250	6	6	26%	4%	44	-2.8	234/265/314	80	285	4	6	19%	4%	62	-1.4	265/287/332	67	311	3	4	16%	3%	71	-0.3
✕Alejandro Torres 2012 · A	23	37	37→40	46→40	35	182/219/253	71	267	5	5	33%	4%	31	-3.7	206/261/282	76	313	5	6	33%	6%	54	-2.0	206/271/236	30	326	0	0	34%	7%	47	-0.4
✕Eduardo Torrealba 2021 · A	22	44	36→30	43→50	40	207/261/272	66	287	4	6	28%	5%	52	-2.2	220/275/296	76	272	6	14	20%	6%	63	-1.4	213/271/276	62	260	5	17	19%	6%	54	-0.9

Career Stats + Projections

Career Comps

Career Path Comps