Josiah Ragsdale — OGILVIE

Josiah RagsdaleOF Wisconsin Timber Rattlers

Age 22 L/L 6'0" / 185 lbs A+ HR +10%K +6% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION519 act + 9 ros · stats below = ROS only

showingROS

wRC+†107

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

PA9

HR0

K%33

BB%11

BABIP307

ISO156

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$65M ctrl surplus

Tools · ContractCON 37 / POW 54

Toolsscout grade

CONTACT37

scouting grade only

POWER54

scouting grade only

EYE66

scouting grade only

SPEED67

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	+1.5	$9M	+$8M
2031	Pre-Arb	$0.9M	+1.5	$8M	+$8M
2032	Pre-Arb	$0.9M	+1.4	$7M	+$7M
2033	Arb-1	$4M	+1.2	$6M	+$4M
2034	Arb-2	$6M	+1.0	$4M	+$2M
2035	Arb-3	$8M	+0.8	$2M	+$0.0M (cut)
Totals		$13M		$36M	+$28M

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)
2025	21	A	Carolina Mudcats	—	92	70	21	1	0	0	16	15	1	9	3	300	413	314	727	14	382	16	17	340	116	+2	+1	—	—	+2	0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	Carolina Mudcats	—	92	81	24	1	0	0	10	21	1	9	3	296	380	309	689	12	394	23	11	315	99	-0	+1	—	—	+2	0.3
2025	21	A MLE	Carolina Mudcats	—	92	81	24	1	0	0	10	21	1	9	3	296	380	309	689	12	400	23	11	315	99	—	—	—	—	—	—
2025	21	A RAW	Carolina Mudcats	—	92	70	21	1	0	0	16	15	1	9	3	300	413	314	727	14	382	16	17	340	99	—	—	—	—	—	—
2025	21	A MLE	Carolina Mudcats	—	92	81	24	1	0	0	10	21	1	9	3	296	380	309	689	12	394	23	11	315	99	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	21	A MLE	Carolina Mudcats	—	92	81	24	1	0	0	10	21	1	9	3	296	380	309	689	12	394	23	11	315	99	—	—	—	—	—	—
YTD	22	A+ MLE	MIL	—	519	450	107	20	2	19	60	169	6	37	3	238	335	418	753	180	332	33	12	329	109	+5	+6	+0	-3	+11	2.0
▸ 2026 season
YTD	22	A+ RAW	MIL	—	264	214	70	18	2	7	44	64	3	24	2	327	445	528	973	201	438	24	17	427	109	—	—	—	—	—	—
YTD	22	AA RAW	MIL	—	255	208	55	7	1	17	42	68	3	13	1	264	395	553	948	288	304	27	16	410	109	—	—	—	—	—	—
ROS	22	A+ MLE	MIL	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		309	33	11	326	107	+0	+0	+0	-0	+0	0.0
TOT	22	A+ MLE	MIL	—	528	458	108	20	2	19	61	172	6	37	3	236	333	413	746	177	330	33	12	329	109	+6	+6	+0	-3	+11	2.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	MIL	43%	561	486	115	21	3	19	64	165	6	20	2	237	333	409	742	173	311	29	11	329	109	+6	+3	+0	-3	+12	1.8
2028	24	MLB MLE	MIL	58%	595	517	124	23	3	21	67	171	6	20	2	240	334	418	752	178	310	29	11	332	111	+8	+3	+0	-4	+13	2.1
2029	25	MLB MLE	MIL	65%	601	523	125	23	3	21	67	170	6	19	2	239	332	415	747	176	309	28	11	334	112	+9	+3	+0	-4	+13	2.2
2030	26	MLB MLE	MIL	68%	600	522	126	23	3	22	67	168	6	18	2	241	334	423	758	182	308	28	11	335	113	+9	+3	+0	-4	+13	2.2
2031	27	MLB MLE	MIL	68%	595	517	124	23	3	21	67	167	6	18	2	240	334	418	752	178	308	28	11	335	113	+9	+3	+0	-4	+13	2.2
2032	28	MLB MLE	MIL	68%	587	509	122	22	3	21	67	166	6	17	2	240	335	418	754	179	308	28	11	334	112	+8	+3	-1	-4	+13	2.0
2033	29	MLB MLE	MIL	66%	578	501	118	22	2	20	66	165	6	16	2	236	332	407	739	172	307	29	11	332	111	+7	+2	-1	-3	+13	1.8
2034	30	MLB MLE	MIL	66%	569	493	116	21	2	20	65	163	6	15	2	235	332	408	739	172	305	29	11	329	109	+6	+2	-2	-3	+12	1.5
2035	31	MLB MLE	MIL	65%	558	483	112	20	2	19	64	162	6	14	2	232	329	400	729	168	303	29	11	325	106	+4	+2	-3	-3	+12	1.2
2036	32	MLB MLE	MIL	65%	548	475	108	19	2	18	63	161	5	13	1	227	324	389	714	162	299	29	11	319	102	+1	+2	-4	-3	+12	0.9
2037	33	MLB MLE	MIL	65%	473	412	92	16	2	15	54	142	4	10	1	223	319	381	700	158	294	30	11	312	97	-1	+2	-4	-3	+10	0.3
2038	34	MLB MLE	MIL	60%	400	348	74	12	1	12	45	122	4	8	1	213	310	356	666	144	288	30	11	303	91	-4	+1	-5	-2	+9	-0.2
2027	23	MLB CTX	MIL	43%	243	211	50	9	1	9	28	72	2	9	1	237	332	417	749	180	309	30	12	324	109	+3	+1	+0	-1	+5	0.8
2028	24	MLB CTX	MIL	58%	345	300	73	13	2	13	39	99	3	12	1	243	336	430	766	187	308	29	11	327	111	+5	+2	+0	-2	+7	1.2
2029	25	MLB CTX	MIL	65%	390	339	83	15	2	15	44	110	4	12	1	245	339	434	772	189	307	28	11	329	112	+6	+2	+0	-2	+8	1.4
2030	26	MLB CTX	MIL	68%	408	355	85	15	2	15	46	114	4	13	1	239	333	420	753	180	307	28	11	329	113	+6	+2	+0	-2	+9	1.5
2031	27	MLB CTX	MIL	68%	405	352	84	15	2	15	46	114	4	12	1	239	333	420	754	182	307	28	11	329	113	+6	+2	+0	-2	+9	1.5
2032	28	MLB CTX	MIL	68%	399	347	83	15	2	15	45	113	4	11	1	239	333	424	757	184	306	28	11	328	112	+6	+2	-0	-2	+9	1.4
2033	29	MLB CTX	MIL	66%	384	333	79	14	2	14	44	109	4	10	1	237	333	417	751	180	305	28	11	326	111	+5	+2	-1	-2	+8	1.2
2034	30	MLB CTX	MIL	66%	373	323	76	13	1	14	43	107	4	10	1	235	332	412	744	176	304	29	12	324	109	+4	+2	-1	-2	+8	1.0
2035	31	MLB CTX	MIL	65%	363	314	73	13	1	13	42	105	4	9	1	232	331	404	735	172	301	29	12	320	106	+3	+1	-2	-2	+8	0.8
2036	32	MLB CTX	MIL	65%	355	308	69	12	1	12	41	104	3	8	1	224	321	386	707	162	298	29	12	314	102	+1	+1	-2	-2	+8	0.6
2037	33	MLB CTX	MIL	65%	305	264	59	10	1	10	35	91	3	7	1	223	321	383	704	159	293	30	11	307	97	-1	+1	-3	-2	+7	0.2
2038	34	MLB CTX	MIL	60%	240	209	45	7	1	8	27	73	2	5	1	215	311	373	684	158	287	30	11	299	91	-2	+1	-3	-1	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4210	3655	859	151	18	153	480	1211	41	118	12	235	330	412	742	177	305	29	11	322	108	+40	+19	-13	-25	+91	11.4
/ 162G	—	A+C		—	650	564	133	23	3	24	74	187	6	18	2	236	330	415	745	179	306	29	11	322	108	+6	+3	-2	-4	+14	1.8
Career	—	MLE		—	6766	5875	1381	246	29	229	767	1946	68	197	24	235	330	404	734	169	309	29	11	327	108	+62	+29	-20	-40	+145	18.0
/ 162G	—	MLE		—	650	564	133	24	3	22	74	187	7	19	2	236	332	406	738	170	310	29	11	327	108	+6	+3	-2	-4	+14	1.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Chris Younglast yr '18 career totals — 13 seasons, 5,316 PA	8.0	5,316	191	142	235	314	428	-0	+3	21.3	20.7
/162	664	24	18	-0.0	+0.4	2.7	pk7: 20
#2Brad Wilkersonlast yr '08 career totals — 8 seasons, 3,753 PA	5.7	3,753	122	53	247	350	440	-35	-8	15.8	16.3
/162	664	22	9	-6.2	-1.4	2.8	pk7: 17
#3Colby Rasmuslast yr '17 career totals — 9 seasons, 4,070 PA	6.1	4,070	165	35	242	311	438	-0	+8	16.7	16.2
/162	664	27	6	-0.0	+1.3	2.7	pk7: 16
#4Eric Byrneslast yr '09 career totals — 8 seasons, 3,440 PA	5.2	3,440	106	125	260	321	441	-21	+3	14.9	15.2
/162	664	20	24	-4.1	+0.6	2.9	pk7: 16
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	6.3	4,211	145	118	235	327	406	-25	+0	14.7	12.9
/162	664	23	19	-4.0	+0.0	2.3	pk7: 11
#5Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
#6Desmond Jenningslast yr '16 career totals — 6 seasons, 2,327 PA	3.5	2,327	55	93	245	323	394	-9	+10	8.1	8.1
/162	664	16	27	-2.5	+2.7	2.3	pk7: 8

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
Josiah Ragsdale (OGILVIE)	22	32→37	49→54	62→67	66	230/326/397	167	309	6	9	30%	11%	107	+0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Bo Naylor 2023 · AAA	23	40→43	49→55	54→50	48	203/290/352	149	278	16	16	32%	10%	82	+0.0	214/299/386	172	268	20	10	27%	10%	93	+0.8	205/292/383	178	245	22	6	26%	10%	88	+0.3
●Edouard Julien 2022 · A	23	46→55	49→50	54→50	53	213/328/368	156	341	16	20	38%	14%	101	+1.4	236/342/386	150	352	17	14	33%	13%	109	+2.0	234/342/380	146	343	17	11	33%	13%	106	+1.6
●Chris Young 2006 · AA	22	44→48	54→60	56→55	46	229/301/421	192	292	21	23	28%	8%	102	+1.5	232/297/428	196	269	23	20	23%	8%	103	+1.5	239/321/429	190	289	21	17	24%	10%	108	+2.1
●Colby Rasmus 2009 · AAA	22	42→52	50→65	53→50	48	219/288/372	152	262	17	17	24%	8%	86	+0.3	244/313/416	172	293	20	10	23%	9%	105	+1.7	243/311/468	224	317	29	3	32%	8%	115	+1.8
✕Daulton Varsho 2019 · A	23	47→49	47→60	55→50	42	233/291/362	129	300	15	18	27%	6%	84	+0.2	239/303/406	167	279	19	17	21%	7%	99	+1.3	228/296/424	195	260	25	15	23%	8%	98	+1.1
●LaMonte Wade Jr. 2016 · A	22	46→56	45→55	55→45	54	229/308/356	127	264	13	10	18%	9%	89	+0.5	239/317/346	107	281	10	8	17%	9%	91	+0.6	243/344/432	189	274	24	4	20%	12%	118	+1.8
●Oneil Cruz 2022 · AAA	23	49→53	54→60	57→60	41	249/296/432	184	324	21	21	30%	6%	103	+1.5	239/302/428	189	318	23	20	30%	8%	104	+1.6	243/326/440	197	329	25	34	32%	10%	110	+1.8
✕Jakob Marsee 2023 · A	22	44→48	43→45	58→60	54	211/315/327	116	289	9	21	28%	12%	86	+0.3	215/313/338	123	273	13	33	24%	11%	88	+0.5	211/310/338	127	264	13	40	24%	11%	84	+0.2
●Trent Grisham 2020 · MLB	23	43→49	50→60	53→55	51	219/302/375	156	274	18	13	26%	10%	92	+0.7	231/318/405	174	284	20	14	25%	10%	105	+1.7	212/319/405	193	232	27	6	22%	13%	104	+1.1
✕Drew Gilbert 2023 · A	22	48	47→50	53→45	48	239/297/376	137	271	15	16	18%	7%	90	+0.6	224/293/368	144	273	16	9	23%	7%	87	+0.4	210/294/357	148	242	16	5	20%	8%	82	+0.0
✕Trey Sweeney 2023 · AA	23	39→43	47→50	58→55	46	200/276/339	139	268	15	19	30%	9%	74	-0.5	213/284/345	132	280	14	17	28%	8%	78	-0.3	213/282/342	129	276	14	17	27%	8%	75	-0.4
✕Spencer Jones 2023 · A	22	50→48	46→55	56→55	44	241/305/370	129	323	13	19	28%	7%	91	+0.7	218/272/362	144	354	15	25	40%	6%	78	-0.3	216/285/389	174	351	21	24	42%	8%	86	+0.3
✕Austin Wells 2022 · A	23	43	48→55	56→50	47	211/301/358	147	306	15	12	34%	10%	88	+0.4	216/294/377	161	276	19	10	28%	9%	90	+0.6	211/292/376	165	256	20	8	25%	9%	87	+0.3
✕Jaff Decker 2012 · AA	22	41→49	52→55	47→55	48	214/297/379	165	280	19	10	30%	10%	91	+0.7	211/290/341	130	279	13	9	27%	9%	80	-0.2	221/295/327	106	285	9	13	24%	9%	76	-0.3
✕Anthony Norman 2009 · A	24	47→42	47→50	62→55	52	231/311/376	145	274	13	24	21%	9%	95	+1.0	216/290/343	127	276	11	14	24%	8%	80	-0.2	206/275/315	109	281	7	9	27%	7%	67	-0.3
✕Tim Tawa 2022 · A	23	45→44	47→55	58→50	45	221/289/359	138	303	14	18	30%	8%	83	+0.1	211/273/334	123	271	14	11	27%	7%	72	-0.7	224/287/394	170	271	21	14	25%	7%	89	+0.4
●Jazz Chisholm Jr. 2020 · AA	22	37→47	52→60	54→60	37	197/258/363	166	295	21	14	39%	7%	73	-0.6	228/290/413	185	309	23	20	32%	7%	96	+1.0	247/321/445	199	302	28	36	27%	9%	112	+1.9
✕Jonny DeLuca 2022 · A	24	40→37	53→60	56→55	45	216/275/390	173	253	21	15	24%	7%	85	+0.2	224/289/407	183	256	22	16	22%	7%	95	+0.9	221/290/400	179	249	21	19	21%	7%	91	+0.4
●Matt McLain 2023 · AA	23	40→50	49→55	59→55	47	205/293/360	155	287	16	24	33%	10%	86	+0.3	245/323/418	173	327	19	21	29%	9%	109	+2.0	229/312/387	159	297	19	21	28%	9%	96	+0.9
✕Jarred Kelenic 2021 · AA	22	44→54	53→60	53→50	42	230/285/405	175	295	20	14	29%	7%	92	+0.7	223/288/402	179	283	21	13	28%	8%	93	+0.8	223/292/404	181	286	20	15	29%	8%	92	+0.6

Career Stats + Projections

Career Comps

Career Path Comps