Yannic Walther

C Wilson Warbirds

Age 23 R/R 6'0" / 185 lbs A HR +10%K +6% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#2349ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	20	ROKMIL	51	.182/.280/.250	0	0	-4	—	.130/.200/.174
2025	21	ACarolina Mudc…	236	.200/.319/.270	1	0	32	—	.163/.255/.215
2026	22	A+/AMIL	246	.204/.339/.299	4	2	38	—	.155/.256/.220
2027PROJMLE	23	MLBMIL	356	.181/.271/.253	3	5	52	-0.1
2028PROJ30% MLB	24	MLBMIL	53	.184/.274/.268	1	1	58	-0.0
2029PROJ44% MLB	25	MLBMIL	106	.189/.278/.283	2	1	63	-0.0

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A+

Chase%71

BB%70

wOBA37

Z-Con%35

wRC+33

ISO32

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsJohn Garcia (age 23) · Gilbert Gomez (age 23) · Matt Pagnozzi (age 23)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 144 proj PA

wRC+†52

AVG/OBP/SLG.179 / .269 / .251

PA144

HR1

K%32

BB%10

ISO72

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M 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 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	—	—	—
2033	Pre-Arb	$0.9M	—	—	—
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		$0.0M		$-0.7M	+$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. 2027 = full-season projection (no games played yet). 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 1-3 WAR low.

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	34	—	—	—	—	—	—
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	-4	—	—	—	—	—	—
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	32	—	—	—	—	—	—
2026	22	A+	Wisconsin Timber Rattlers	—	121	101	24	6	0	2	17	42	0	0	0	238	347	356	704	119	373	35	14	316	49	—	—	—	—	—	—
2026	22	A	Wilson Warbirds	—	125	100	17	1	0	2	23	37	1	2	0	170	331	240	571	70	242	30	18	279	27	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	19	ROK MLE	DSL Brewers 1	—	132	110	14	2	0	0	18	46	2	0	1	127	262	145	407	18	216	35	14	218	34	—	—	—	—	—	—
2024	20	ROK MLE	ACL Brewers	—	51	46	6	2	0	0	4	17	0	0	1	130	200	174	374	43	181	33	8	163	-4	—	—	—	—	—	—
2025	21	A MLE	Carolina Mudcats	—	236	209	34	8	0	1	24	91	2	0	2	163	255	215	471	53	273	39	10	215	32	—	—	—	—	—	—
2026	22	A+ MLE	Wisconsin Timber Rattlers	—	121	106	19	4	0	2	12	53	0	0	0	179	263	274	536	94	316	44	10	241	49	—	—	—	—	—	—
2026	22	A MLE	Wilson Warbirds	—	125	107	14	1	0	1	16	50	1	2	0	131	250	168	418	37	219	40	13	208	27	—	—	—	—	—	—
2023	19	ROK MLE	DSL Brewers 1	—	132	110	14	2	0	0	18	46	2	0	1	127	262	145	407	18	212	35	14	218	34	—	—	—	—	—	—
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	34	—	—	—	—	—	—
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	163	-4	—	—	—	—	—	—
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	-4	—	—	—	—	—	—
2025	21	A MLE	Carolina Mudcats	—	236	209	34	8	0	1	24	91	2	0	2	163	255	215	471	53	280	39	10	215	32	—	—	—	—	—	—
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	32	—	—	—	—	—	—
2026	22	A MLE	2 teams	—	246	213	33	5	0	3	28	104	1	2	0	155	256	221	477	66	275	42	11	224	38	—	—	—	—	—	—
2026	22	A RAW	2 teams	—	246	201	41	7	0	4	40	79	1	2	0	204	339	299	637	95	306	32	16	297	38	—	—	—	—	—	—
2023	19	ROK MLE	DSL Brewers 1	—	132	111	14	2	0	0	18	46	2	0	1	126	262	144	406	18	216	35	14	218	34	—	—	—	—	—	—
2024	20	ROK MLE	ACL Brewers	—	51	47	6	2	0	0	4	17	0	0	1	128	200	170	370	43	181	33	8	163	-4	—	—	—	—	—	—
2025	21	A MLE	Carolina Mudcats	—	236	208	34	8	0	1	24	91	2	0	2	163	255	216	472	53	273	39	10	215	32	—	—	—	—	—	—
2026	22	A MLE	2 teams	—	246	215	33	5	0	3	28	104	1	2	0	153	256	219	475	65	267	42	11	224	38	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	20	ROK MLE	ACL Brewers	—	51	47	6	2	0	0	4	17	0	0	1	128	200	170	370	43	181	33	8	163	-4	—	—	—	—	—	—
2025	21	A MLE	Carolina Mudcats	—	236	208	34	8	0	1	24	91	2	0	2	163	255	216	472	53	273	39	10	215	32	—	—	—	—	—	—
2026	22	A MLE	2 teams	—	246	215	33	5	0	3	28	104	1	2	0	153	256	219	475	65	267	42	11	224	38	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	MIL	0%	356	314	57	12	1	3	36	112	3	5	1	181	271	253	524	72	267	31	10	245	52	-20	+1	+0	+6	+8	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	MIL	30%	175	154	29	6	1	2	18	54	1	2	1	187	276	272	548	85	270	31	10	254	58	-9	+0	+0	+3	+4	-0.2
2029	25	MLB MLE	MIL	44%	240	212	40	8	1	3	24	73	2	3	1	191	280	285	565	94	271	30	10	261	63	-11	+0	+0	+4	+5	-0.1
2030	26	MLB MLE	MIL	51%	294	260	51	10	1	5	30	88	2	4	1	195	283	295	578	100	272	30	10	266	66	-12	+0	+0	+5	+6	0.0
2031	27	MLB MLE	MIL	52%	320	283	55	11	1	5	32	95	2	4	1	196	284	298	582	102	273	30	10	267	67	-13	+0	+0	+6	+7	0.0
2032	28	MLB MLE	MIL	53%	334	296	58	12	1	5	33	99	2	4	1	197	283	299	582	102	273	30	10	267	67	-13	+0	-1	+6	+7	-0.0
2033	29	MLB MLE	MIL	53%	333	295	57	11	1	5	33	100	2	3	1	194	281	292	573	98	271	30	10	263	64	-14	+0	-1	+6	+7	-0.2
2034	30	MLB MLE	MIL	52%	328	291	56	11	1	5	32	99	2	3	2	191	277	284	561	93	269	30	10	259	61	-15	-0	-2	+6	+7	-0.5
2028	24	MLB CTX	MIL	30%	53	48	9	2	0	1	5	16	0	1	0	184	274	268	542	84	265	30	9	252	58	-3	+0	+0	+1	+1	-0.0
2029	25	MLB CTX	MIL	44%	106	93	17	3	0	2	11	32	1	1	0	189	278	283	561	93	267	30	10	259	63	-5	+0	+0	+2	+2	-0.0
2030	26	MLB CTX	MIL	51%	149	132	26	5	1	2	15	45	1	2	1	192	281	292	573	100	268	30	10	264	66	-6	+0	+0	+3	+3	-0.0
2031	27	MLB CTX	MIL	52%	168	148	29	5	1	3	17	50	1	2	1	194	282	296	577	102	268	30	10	265	67	-7	+0	+0	+3	+4	0.0
2032	28	MLB CTX	MIL	53%	178	157	31	6	1	3	18	53	1	2	1	195	281	296	578	102	268	30	10	265	67	-7	+0	-0	+3	+4	-0.0
2033	29	MLB CTX	MIL	53%	175	155	31	6	1	3	17	52	1	2	1	192	278	290	568	98	266	30	10	262	64	-7	+0	-1	+3	+4	-0.1
2034	30	MLB CTX	MIL	52%	171	151	29	5	1	3	17	52	1	1	1	189	275	282	557	93	264	30	10	257	61	-8	-0	-1	+3	+4	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1000	884	172	32	5	17	100	300	6	11	5	195	281	300	581	105	271	30	10	262	56	-42	+0	-2	+18	+22	-0.5
/ 162G	—	A+C		—	650	575	112	21	3	11	65	195	4	7	3	195	281	299	581	104	271	30	10	262	56	-27	+0	-1	+12	+14	-0.3
Career	—	MLE		—	2833	2496	457	91	8	35	291	911	19	27	13	183	273	268	541	85	269	32	10	251	56	-94	+1	-4	+39	+47	-1.2
/ 162G	—	MLE		—	650	573	105	21	2	8	67	209	4	6	3	183	273	269	542	86	269	32	10	251	56	-28	+0	-1	+12	+14	-0.4

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.

2026 AWilson Warbirds · 125 PAwOBA .276 → .208 (−67)K% 29.6% → 40.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.60%	÷1.000	×1.360	—	—	40.26%
BB% (unintentional) /PA	18.40%	÷1.000	×0.690	—	—	12.70%
HBP% /PA	0.80%	—	×0.780	—	—	0.62%
Singles /BIP	22.22%	÷1.000	×0.920	×0.997	—	20.39%
Doubles /BIP	1.59%	÷1.000	×0.830	×0.997	—	1.31%
Triples /BIP	0.00%	÷1.000	×0.910	×0.997	—	0.00%
Home runs /BIP	3.17%	÷1.000	×0.800	—	—	2.54%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.997.

Result: wOBA .276 → .208; ISO .070 → .052; BABIP .242 → .219. 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).

2026 A+Wisconsin Timber Rattlers · 121 PAwOBA .313 → .241 (−73)K% 34.7% → 44.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.71%	÷1.000	×1.270	—	—	44.08%
BB% (unintentional) /PA	14.05%	÷1.000	×0.710	—	×1.012	10.09%
HBP% /PA	0.00%	—	×0.790	—	×1.012	0.00%
Singles /BIP	27.12%	÷1.000	×0.920	×0.950	×1.012	23.99%
Doubles /BIP	10.17%	÷1.000	×0.810	×0.950	×1.012	7.92%
Triples /BIP	0.00%	÷1.000	×0.850	×0.950	×1.012	0.00%
Home runs /BIP	3.39%	÷1.000	×0.800	—	×1.012	2.74%

Factors used: league row Midwest League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .313 → .241; ISO .119 → .089; BABIP .373 → .316. 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).

2025 ACarolina Mudcats · 236 PAwOBA .275 → .215 (−60)K% 29.2% → 38.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.24%	÷1.033	×1.360	—	—	38.51%
BB% (unintentional) /PA	13.98%	÷0.981	×0.690	—	×1.015	9.98%
HBP% /PA	0.85%	—	×0.780	—	×1.015	0.67%
Singles /BIP	21.37%	÷0.948	×0.920	×0.973	×1.015	20.49%
Doubles /BIP	8.40%	÷1.002	×0.830	×0.973	×1.015	6.87%
Triples /BIP	0.00%	÷1.150	×0.910	×0.973	×1.015	0.00%
Home runs /BIP	0.76%	÷1.214	×0.800	—	×1.015	0.51%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 143, 1B 90, 2B 100, 3B 130, K 107, BB 96 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.973.

Result: wOBA .275 → .215; ISO .070 → .050; BABIP .298 → .273. 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).

2024 ROKACL Brewers · 51 PAwOBA .246 → .163 (−82)K% 23.5% → 33.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.53%	÷1.002	×1.440	—	—	33.80%
BB% (unintentional) /PA	11.76%	÷1.014	×0.620	—	×0.995	7.16%
HBP% /PA	0.00%	—	×0.720	—	×0.995	0.00%
Singles /BIP	15.62%	÷1.015	×0.820	—	×0.995	12.56%
Doubles /BIP	9.38%	÷1.088	×0.720	—	×0.995	6.17%
Triples /BIP	0.00%	÷0.900	×0.720	—	×0.995	0.00%
Home runs /BIP	0.00%	÷0.947	×0.780	—	×0.995	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 103, 2B 118, 3B 80, K 100, BB 103 — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average).

Result: wOBA .246 → .163; ISO .068 → .042; BABIP .242 → .181. 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).

2023 DSLDSL Brewers 1 · 132 PAwOBA .331 → .218 (−113)K% 28.0% → 34.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.03%	÷0.992	×1.220	—	—	34.46%
BB% (unintentional) /PA	19.70%	÷0.991	×0.700	—	×0.995	13.84%
HBP% /PA	1.52%	—	×0.700	—	×0.995	1.06%
Singles /BIP	29.23%	÷1.015	×0.680	×0.950	×0.995	18.51%
Doubles /BIP	6.15%	÷0.988	×0.600	×0.950	×0.995	3.53%
Triples /BIP	0.00%	÷1.052	×0.600	×0.950	×0.995	0.00%
Home runs /BIP	1.54%	÷1.026	×0.470	—	×0.995	0.70%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 105, 1B 103, 2B 98, 3B 110, K 98, BB 98 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .331 → .218; ISO .069 → .037; BABIP .348 → .216. 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
#1Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#2Sandy 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
#3Chad Moeller'00-'10 * career totals — 10 seasons, 1,539 PA	2.3	1,539	29	2	218*	277*	341*	+27	-0	-0.2	1.0
/162	664	13	1	+11.6	-0.1	-0.1	pk7: 2
#4Jeff Torborg'64-'73 * career totals — 9 seasons, 1,525 PA	2.3	1,525	8	3	214*	271*	292*	+27	+0	0.2	0.7
/162	664	3	1	+11.8	+0.0	0.1	pk7: 1
#5Steve Swisher'74-'82 * career totals — 7 seasons, 1,577 PA	2.4	1,577	20	4	211*	275*	330*	+28	+0	-0.1	0.6
/162	664	8	2	+11.9	+0.0	-0.0	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.7	1,143	16	13	193	278	288	+20	+16	0.3	0.4
/162	664	9	8	+11.9	+9.3	0.2	pk7: 0
#6Mike Ryan'64-'74 * career totals — 9 seasons, 2,098 PA	3.2	2,098	28	4	196*	257*	311*	+38	+0	-1.9	-0.9
/162	664	9	1	+11.9	+0.0	-0.6	pk7: 0

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)	23	25	20	40	55	179/269/251	72	267	1	2	32%	10%	52	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕John Garcia 2024 · A	23	40	38→40	43→50	41	188/285/268	80	289	5	7	33%	7%	63	-1.4	200/275/295	95	295	9	11	33%	7%	64	-1.3	194/265/283	89	283	9	14	33%	7%	55	-1.1
✕Gilbert Gomez 2015 · A	23	42→39	37→40	42→50	47	195/278/274	80	302	4	8	34%	10%	60	-1.6	185/260/266	81	282	5	9	33%	9%	51	-2.2	117/193/162	46	177	2	5	33%	9%	2	-1.8
✕Matt Pagnozzi 2006 · AA	23	38	37→40	45→40	41	181/243/252	71	264	4	7	31%	7%	41	-3.0	190/242/269	79	270	5	4	30%	5%	45	-2.7	208/273/289	82	286	7	0	28%	7%	59	-0.8
✕Connor Justus 2018 · A	23	39→37	38→40	46→45	45	188/271/264	76	269	5	9	30%	8%	55	-1.9	179/259/251	72	255	5	8	29%	8%	48	-2.5	163/242/223	60	236	4	6	30%	7%	33	-2.4
✕Coty Blanchard 2015 · A	23	40	36→40	48→45	47	190/258/257	67	255	2	6	25%	8%	48	-2.5	224/274/298	74	304	3	7	26%	6%	62	-1.4	241/285/309	68	323	1	7	24%	5%	66	-0.5
✕Shawn Roof 2008 · A	23	43	35→30	45→50	43	203/264/258	55	281	2	9	27%	6%	50	-2.3	228/288/281	53	300	2	10	23%	6%	64	-1.3	248/297/296	49	323	1	17	22%	5%	66	-0.5
✕Dereck Salom 2024 · A	23	41	35→30	42→40	49	193/270/248	55	261	2	4	25%	9%	51	-2.3	202/284/269	67	267	5	7	24%	9%	61	-1.5	188/281/233	46	243	4	7	22%	10%	52	-1.4
✕Ben Gobbel 2023 · A	23	41	36→45	47→50	40	196/255/263	68	278	4	7	30%	6%	48	-2.5	210/268/321	111	288	11	13	30%	6%	66	-1.1	216/266/339	123	276	15	11	27%	5%	67	-0.8
✕Anthony Hermelyn 2017 · A	23	35	39→40	41→30	40	173/239/254	82	274	7	3	37%	8%	40	-3.0	197/259/281	84	282	7	4	30%	8%	53	-2.1	189/254/256	68	258	5	0	27%	8%	42	-1.4
✕Kyle Overstreet 2017 · A	23	42→45	37→40	44→30	46	198/263/270	72	270	4	5	27%	8%	53	-2.1	230/278/328	98	281	9	3	21%	6%	71	-0.8	224/268/313	89	272	9	1	21%	5%	62	-1.0
✕Dylan Neuse 2023 · A	24	36	39→40	49→50	44	178/253/255	77	262	8	14	33%	8%	47	-2.6	205/278/293	88	286	6	12	28%	9%	64	-1.3	205/285/293	88	279	5	13	26%	9%	65	-0.6
✕Stephen McGee 2015 · A	24	41	36→40	44→30	48	193/277/258	65	267	4	4	27%	9%	56	-1.9	201/280/286	85	286	7	4	29%	9%	63	-1.3	194/281/287	93	275	8	1	30%	10%	62	-0.5
✕Grayson Greiner 2016 · A	23	37	38→45	46→30	37	180/234/253	73	279	6	3	36%	6%	38	-3.2	214/267/316	102	297	9	3	29%	6%	65	-1.2	220/280/330	110	294	10	0	27%	7%	71	-0.5
✕Daurys Mercedes 2012 · A	22	38	35→40	46→45	42	179/250/239	60	285	2	7	36%	8%	40	-3.0	178/242/245	67	330	3	6	43%	7%	39	-3.1	127/201/181	54	254	2	4	47%	7%	7	-1.7
✕Rowdey Jordan 2022 · A	23	43→42	39→45	43→55	45	205/272/288	82	296	6	8	31%	8%	60	-1.6	204/274/308	104	283	9	18	29%	8%	65	-1.2	196/266/309	112	271	12	23	31%	7%	61	-1.0
✕David Masters 2016 · A	23	38→37	35→45	38→40	43	184/244/241	57	248	3	5	26%	6%	39	-3.1	180/242/261	81	245	8	3	28%	7%	43	-2.8	187/256/313	125	256	16	1	32%	7%	58	-0.7
✕Yoel Romero 2021 · A	23	43	38→40	46→50	45	206/268/286	80	275	6	9	26%	7%	58	-1.7	219/269/312	93	327	7	4	33%	6%	64	-1.3	218/265/307	89	325	7	0	34%	5%	59	-0.7
✕Willy Diaz 2016 · A	22	36	36→40	43→40	50	171/266/239	68	240	4	3	28%	10%	49	-2.4	182/251/255	73	318	3	5	40%	7%	45	-2.7	165/219/238	73	309	2	4	44%	5%	26	-1.3
✕David Narodowski 2011 · A	22	37	39→40	42→45	47	184/261/266	82	248	8	7	28%	8%	52	-2.2	202/262/288	86	282	6	8	29%	7%	57	-1.8	189/242/263	74	261	4	7	28%	7%	40	-0.7
✕Jio Mier 2014 · AA	23	40→44	38→40	43→50	46	193/261/267	74	261	7	10	27%	8%	51	-2.2	203/264/284	81	268	6	9	25%	7%	56	-1.9	196/252/279	82	253	6	7	24%	6%	48	-1.3

Yannic Walther

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps