Will Verdung — OGILVIE

Will Verdung3B Columbus Clingstones

Age 23 R/R 6'2" / 200 lbs AA Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION331 act + 9 ros · stats below = ROS only

showingROS

wRC+†63

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%22

BB%11

BABIP279

ISO50

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$6M ctrl surplus

Tools · ContractCON 50 / POW 20

Toolsscout grade

CONTACT50

scouting grade only

POWER20

scouting grade only

EYE55

scouting grade only

SPEED45

scouting grade only

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2030	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2031	Pre-Arb	$0.9M	—	—	—
2032	Arb-1	$0.4M	—	—	—
2033	Arb-2	$5M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.1M	+$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.

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	20	A	Augusta GreenJackets	—	109	97	23	1	0	0	9	30	1	3	3	237	308	247	556	10	333	28	8	259	61	-5	-1	—	—	+2	-0.3
2023	20	ROK	FCL Braves	—	34	28	7	3	0	1	5	6	1	1	0	250	382	464	847	214	286	18	15	379	142	+2	+0	—	—	+1	0.3
2024	21	A	Augusta GreenJackets	—	437	362	78	16	0	2	64	90	8	17	5	215	346	276	622	61	278	21	15	296	87	-7	+1	—	—	+9	0.4
2025	22	A+	Rome Emperors	—	339	287	80	10	2	0	44	57	3	6	4	279	380	328	708	49	340	17	13	326	107	+3	-0	—	—	+7	1.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	20	A MLE	Augusta GreenJackets	—	109	100	20	1	0	0	6	43	1	3	3	200	252	210	462	10	316	39	6	205	25	-10	-1	—	—	+2	-0.8
2023	20	ROK MLE	FCL Braves	—	34	30	5	2	0	1	3	8	1	1	0	167	265	333	598	167	235	24	9	283	78	-1	+0	—	—	+1	0.0
2024	21	A MLE	Augusta GreenJackets	—	437	386	72	13	0	2	40	127	8	17	5	187	276	236	512	49	264	29	9	236	46	-28	+1	—	—	+9	-1.8
2025	22	A+ MLE	Rome Emperors	—	339	303	64	7	2	0	28	78	3	6	4	211	284	248	532	36	268	23	8	241	49	-20	-0	—	—	+7	-1.4
2023	20	A MLE	2 teams	—	143	130	25	3	0	1	9	52	2	4	3	192	255	238	494	46	304	36	6	224	37	—	—	—	—	—	—
2023	20	A RAW	2 teams	—	143	125	30	4	0	1	14	36	2	4	3	240	326	296	622	56	322	25	10	287	37	—	—	—	—	—	—
2024	21	A MLE	Augusta GreenJackets	—	437	386	72	13	0	2	40	127	8	17	5	187	276	236	512	49	269	29	9	236	46	—	—	—	—	—	—
2024	21	A RAW	Augusta GreenJackets	—	437	362	78	16	0	2	64	90	8	17	5	215	346	276	622	61	278	21	15	296	46	—	—	—	—	—	—
2025	22	A+ MLE	Rome Emperors	—	339	303	64	7	2	0	28	78	3	6	4	211	284	248	532	36	278	23	8	241	49	—	—	—	—	—	—
2025	22	A+ RAW	Rome Emperors	—	339	287	80	10	2	0	44	57	3	6	4	279	380	328	708	49	340	17	13	326	49	—	—	—	—	—	—
2023	20	A MLE	2 teams	—	143	131	25	3	0	1	9	52	2	4	3	191	255	237	492	46	297	36	6	224	37	—	—	—	—	—	—
2024	21	A MLE	Augusta GreenJackets	—	437	386	72	13	0	2	40	127	8	17	5	187	276	236	512	49	264	29	9	236	46	—	—	—	—	—	—
2025	22	A+ MLE	Rome Emperors	—	339	305	64	7	2	0	28	78	3	6	4	210	284	246	530	36	268	23	8	241	49	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	A MLE	2 teams	—	143	131	25	3	0	1	9	52	2	4	3	191	255	237	492	46	297	36	6	224	37	—	—	—	—	—	—
2024	21	A MLE	Augusta GreenJackets	—	437	386	72	13	0	2	40	127	8	17	5	187	276	236	512	49	264	29	9	236	46	—	—	—	—	—	—
2025	22	A+ MLE	Rome Emperors	—	339	305	64	7	2	0	28	78	3	6	4	210	284	246	530	36	268	23	8	241	49	—	—	—	—	—	—
YTD	23	AA MLE	ATL	—	331	295	65	10	2	4	27	77	4	9	5	220	294	308	603	88	280	23	8	270	69	-12	-0	+0	+1	+7	-0.4
▸ 2026 season
YTD	23	ROK RAW	ATL	—	23	16	4	1	0	1	5	3	1	1	0	250	455	500	955	250	231	13	22	409	69	—	—	—	—	—	—
YTD	23	A+ RAW	ATL	—	124	103	33	5	1	2	17	19	2	1	3	320	426	447	873	126	369	15	14	388	69	—	—	—	—	—	—
YTD	23	AA RAW	ATL	—	184	162	33	6	1	2	19	39	1	7	2	204	291	290	581	86	254	21	10	267	69	—	—	—	—	—	—
ROS	23	AA MLE	ATL	2%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		279	22	11	261	63	-0	+0	+0	+0	+0	-0.0
TOT	23	AA MLE	ATL	—	340	303	66	10	2	4	28	79	4	9	5	218	293	304	596	86	277	23	8	270	69	-13	-0	+0	+1	+7	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	ATL	31%	408	366	81	13	2	5	35	96	4	7	3	221	296	309	605	87	281	24	9	275	72	-14	+0	+0	+1	+9	-0.3
2028	25	MLB MLE	ATL	45%	445	399	89	14	2	7	38	104	5	8	4	223	299	321	619	98	282	23	9	283	78	-12	+0	+0	+2	+10	-0.1
2029	26	MLB MLE	ATL	51%	467	419	94	15	2	8	40	109	5	8	4	224	300	327	627	103	283	23	9	287	81	-11	+0	+0	+2	+10	0.1
2030	27	MLB MLE	ATL	53%	474	424	96	16	2	8	42	110	5	8	4	226	304	330	634	104	283	23	9	288	81	-11	+0	+0	+2	+10	0.1
2031	28	MLB MLE	ATL	53%	474	424	94	15	2	8	42	111	5	8	4	222	299	323	622	101	282	23	9	287	80	-11	+0	-1	+2	+10	0.0
2032	29	MLB MLE	ATL	53%	467	417	93	15	2	8	42	110	5	7	3	223	302	326	628	103	281	24	9	285	79	-12	+0	-1	+2	+10	-0.1
2033	30	MLB MLE	ATL	52%	458	409	91	14	2	8	41	109	5	6	3	222	301	325	626	103	280	24	9	282	77	-12	+0	-2	+2	+10	-0.3
2027	24	MLB CTX	ATL	31%	127	114	26	4	1	2	11	30	1	2	1	228	302	333	635	105	281	24	9	267	72	-4	+0	+0	+0	+3	-0.1
2028	25	MLB CTX	ATL	45%	198	177	39	6	1	3	17	46	2	3	2	220	296	316	612	96	282	23	9	275	78	-5	-0	+0	+1	+4	-0.0
2029	26	MLB CTX	ATL	51%	238	212	48	8	1	4	21	55	3	4	2	226	305	330	635	104	283	23	9	280	81	-6	+0	+0	+1	+5	0.1
2030	27	MLB CTX	ATL	53%	249	222	50	8	1	4	22	58	3	4	2	225	304	324	628	99	283	23	9	280	81	-6	+0	+0	+1	+5	0.1
2031	28	MLB CTX	ATL	53%	253	226	50	8	1	4	22	59	3	4	2	221	299	319	617	97	282	23	9	279	80	-6	+0	-0	+1	+5	0.0
2032	29	MLB CTX	ATL	53%	245	218	49	8	1	4	22	58	3	4	2	225	305	326	630	101	281	24	9	277	79	-6	+0	-1	+1	+5	-0.1
2033	30	MLB CTX	ATL	52%	239	214	48	8	1	4	21	57	2	3	2	224	300	327	627	103	280	24	9	275	77	-7	-0	-1	+1	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1549	1383	310	50	7	25	136	363	17	24	13	224	301	325	626	101	284	23	9	277	71	-39	-0	-2	+6	+34	-0.3
/ 162G	—	A+C		—	650	580	130	21	3	10	57	152	7	10	5	224	301	322	624	98	285	23	9	277	71	-16	-0	-1	+2	+14	-0.1
Career	—	MLE		—	4121	3685	800	125	16	55	358	1008	47	79	37	217	295	304	599	87	282	24	9	273	71	-82	+0	-4	+11	+69	-0.5
/ 162G	—	MLE		—	650	581	127	20	3	9	56	159	7	12	6	219	295	310	604	91	283	24	9	273	71	-17	+0	-1	+2	+14	-0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#2Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
#3Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#4Jose Castillolast yr '08 career totals — 5 seasons, 2,059 PA	3.1	2,059	39	13	254	296	379	+7	-14	1.9	1.9
/162	664	13	4	+2.4	-4.5	0.6	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	2.3	1,555	26	25	225	298	326	+6	+2	0.9	0.9
/162	664	11	11	+2.4	+0.6	0.4	pk7: 1
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	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
Will Verdung (OGILVIE)	23	50	20	45	55	210/285/275	65	279	2	7	24%	8%	63	-0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Brallan Perez 2019 · A	23	52	35→30	42→50	46	244/299/302	58	300	3	7	19%	6%	73	-0.6	220/278/279	59	284	3	8	22%	6%	60	-1.6	205/265/240	34	265	2	8	21%	6%	43	-1.6
✕Richard Rodriguez 2016 · A	23	54	34→30	43→50	48	251/299/297	46	305	1	9	18%	6%	71	-0.8	211/252/271	60	281	3	8	25%	5%	48	-2.5	149/175/156	8	198	0	7	24%	3%	-11	-1.3
✕Yhoxian Medina 2013 · A	23	43→53	36→30	44→50	48	203/279/268	65	269	4	6	24%	8%	59	-1.7	236/291/298	62	301	2	9	21%	6%	69	-0.9	250/302/305	55	314	1	11	19%	6%	71	-0.5
✕Bryson Brigman 2018 · A	23	46→56	36→40	47→50	44	219/267/280	62	273	3	10	21%	6%	55	-1.9	240/292/311	71	303	3	10	20%	6%	72	-0.7	251/308/329	77	314	4	11	20%	7%	79	-0.2
✕Erlin Cerda 2017 · A	23	44	36→40	51→55	42	205/266/275	70	280	2	11	26%	6%	55	-2.0	195/240/267	72	302	3	8	34%	5%	42	-2.9	164/198/208	44	258	0	8	35%	4%	9	-1.2
✕Justin Maffei 2015 · A	23	48→50	36→40	50	44	222/287/287	65	305	3	11	26%	7%	65	-1.2	231/299/303	72	305	3	11	23%	7%	74	-0.6	236/310/302	66	306	2	12	22%	8%	74	-0.2
✕Blake Rambusch 2023 · A	23	48	37→30	52→65	43	220/289/294	74	319	4	14	30%	7%	68	-1.0	230/314/295	65	316	3	29	25%	9%	78	-0.3	249/326/297	48	311	1	47	18%	9%	80	-0.1
✕Shawn Roof 2008 · A	23	44	35→30	45→50	43	204/266/259	55	283	2	9	27%	6%	51	-2.2	226/286/279	53	297	2	10	23%	6%	63	-1.4	245/294/293	48	320	1	17	22%	5%	65	-0.5
✕Chad Zurcher 2013 · A	24	48	36→30	47→45	50	222/288/291	69	266	3	9	17%	7%	66	-1.1	228/309/290	62	295	2	7	21%	10%	75	-0.5	238/336/271	32	303	0	6	19%	12%	78	-0.1
✕Kyler Castillo 2022 · A	24	47	37→30	40	47	223/281/299	76	284	3	7	22%	7%	65	-1.2	235/312/304	69	320	3	5	25%	9%	79	-0.2	241/333/296	55	331	3	3	25%	10%	83	+0.1
✕Mike Brownstein 2011 · A	23	49	36→30	50→55	53	225/298/293	68	274	2	15	18%	9%	71	-0.8	223/286/296	73	298	4	12	24%	8%	67	-1.1	225/290/286	61	298	3	14	24%	8%	64	-0.7
✕Chris Gutierrez 2007 · A	23	45→55	36→40	42→45	49	209/280/281	71	265	3	5	21%	8%	61	-1.5	215/290/289	74	276	3	3	21%	8%	68	-1.0	239/317/307	68	332	2	6	26%	9%	78	-0.2
✕Dixon Mavares 2008 · A	22	46	35→30	47→50	50	212/288/274	62	252	2	11	16%	7%	63	-1.3	224/295/299	75	271	4	9	17%	8%	72	-0.7	241/316/306	65	285	2	11	15%	8%	78	-0.1
✕Renny Osuna 2008 · A	23	47→57	36→40	48→50	50	219/283/294	75	259	3	9	16%	7%	65	-1.2	261/305/338	77	311	3	9	16%	6%	82	+0.0	268/308/341	73	319	3	10	16%	5%	82	+0.0
✕Abel Nieves 2008 · A	22	45	36→40	45	47	209/272/276	67	282	2	6	25%	8%	57	-1.8	234/303/318	84	319	5	4	26%	9%	78	-0.3	237/308/318	82	315	5	2	24%	9%	77	-0.2
✕Michael Osinski 2019 · A	23	51	37→30	47→45	42	237/293/308	71	319	5	9	26%	6%	72	-0.7	221/285/305	84	320	6	7	30%	7%	69	-0.9	189/269/249	60	293	0	0	32%	9%	48	-0.6
✕Tyler Filliben 2016 · A	23	47	36→30	47→45	45	221/280/289	68	281	3	9	22%	6%	63	-1.3	190/244/264	74	257	4	8	27%	5%	44	-2.8	131/182/185	54	182	2	5	28%	3%	1	-2.4
✕Alfredo Rodriguez 2013 · A	23	46→51	35→30	40→50	46	216/280/278	63	275	2	7	22%	7%	61	-1.5	224/288/282	58	272	3	10	18%	7%	65	-1.2	227/293/274	48	270	3	12	16%	7%	62	-0.9
✕Ryan Jackson 2011 · A	23	49→53	37→40	42→45	48	231/292/306	75	297	4	7	23%	8%	71	-0.8	238/286/329	91	293	7	5	20%	6%	74	-0.6	240/287/326	85	294	7	4	20%	6%	72	-0.7
✕Adam Godwin 2006 · A	23	49→54	36→30	46→55	40	229/270/300	70	292	3	12	22%	4%	61	-1.5	239/285/302	63	296	2	21	19%	5%	67	-1.1	245/295/303	58	300	2	26	18%	6%	68	-0.7

Career Stats + Projections

Career Comps

Career Path Comps