Jadyn Fielder

2B Fayetteville Woodpeckers

Age 22 L/R 6'1" / 210 lbs A HR -6% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#1441ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	20	ROKMIL	183	.268/.429/.444	3	8	63	—	.175/.302/.279
2026	21	A+/AHOU	284	.228/.387/.388	5	15	69	—	.182/.312/.307
2027PROJMLE	22	MLBHOU	394	.205/.301/.313	6	8	77	0.1
2028PROJ34% MLB	23	MLBHOU	72	.212/.306/.329	1	1	81	0.0
2029PROJ46% MLB	24	MLBHOU	134	.215/.309/.337	2	3	84	0.1

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

Speed85

BB%81

wOBA73

wRC+72

Chase%69

ISO62

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 95%

CompsAlexander Campos (age 22) · David Martin (age 22) · Luke Shliger (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 170 proj PA

wRC+†77

AVG/OBP/SLG.203 / .298 / .310

PA170

HR2

K%28

BB%10

ISO108

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$3M ctrl surplus

Tools · ContractCON 40 / POW 35

Toolsscout grade

CONTACT40

scouting grade only

POWER35

scouting grade only

EYE60

scouting grade only

SPEED50

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	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	—	—	—
2035	Arb-1	$0.2M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$0.6M	+$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.

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	20	ROK	ACL Brewers	—	183	142	38	6	5	3	30	41	10	8	4	268	429	444	872	176	354	22	16	394	63	—	—	—	—	—	—
2026	21	A+	Asheville Tourists	—	19	19	4	1	0	1	0	8	0	2	0	211	211	421	632	211	300	42	0	272	5	—	—	—	—	—	—
2026	21	A	Fayetteville Woodpeckers	—	265	205	47	16	2	4	43	67	15	13	3	229	399	385	785	156	316	25	16	361	74	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	20	ROK MLE	ACL Brewers	—	183	154	27	4	3	2	18	61	10	8	4	175	302	279	581	104	257	33	10	261	63	—	—	—	—	—	—
2026	21	A+ MLE	Asheville Tourists	—	19	19	3	1	0	1	0	10	0	2	0	158	158	368	526	211	252	53	0	176	5	—	—	—	—	—	—
2026	21	A MLE	Fayetteville Woodpeckers	—	265	218	40	13	2	3	30	91	15	13	3	183	323	303	626	119	278	34	11	278	74	—	—	—	—	—	—
2025	20	ROK MLE	ACL Brewers	—	183	154	27	4	3	2	18	61	10	8	4	175	302	279	581	104	272	33	10	261	63	—	—	—	—	—	—
2025	20	ROK RAW	ACL Brewers	—	183	142	38	6	5	3	30	41	10	8	4	268	429	444	872	176	354	22	16	394	63	—	—	—	—	—	—
2026	21	A MLE	2 teams	—	284	237	42	13	2	4	30	102	15	15	3	177	309	300	608	122	286	36	11	271	70	—	—	—	—	—	—
2026	21	A RAW	2 teams	—	284	224	51	17	2	5	43	75	15	15	3	228	387	388	775	161	315	26	15	355	70	—	—	—	—	—	—
2025	20	ROK MLE	ACL Brewers	—	183	153	27	4	3	2	18	61	10	8	4	176	302	281	583	105	257	33	10	261	63	—	—	—	—	—	—
2026	21	A MLE	2 teams	—	284	237	42	13	2	4	30	102	15	15	3	177	309	300	608	122	276	36	11	271	70	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	20	ROK MLE	ACL Brewers	—	183	153	27	4	3	2	18	61	10	8	4	176	302	281	583	105	257	33	10	261	63	—	—	—	—	—	—
2026	21	A MLE	2 teams	—	284	237	42	13	2	4	30	102	15	15	3	177	309	300	608	122	276	36	11	271	70	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	HOU	0%	394	344	71	15	3	6	38	109	9	8	2	205	301	313	613	108	279	28	10	282	77	-11	+1	+0	+1	+9	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	HOU	34%	210	183	38	8	1	4	20	57	5	4	1	209	304	325	629	116	280	27	10	288	81	-5	+0	+0	+1	+5	0.1
2029	24	MLB MLE	HOU	46%	291	254	54	11	2	5	28	78	7	6	1	213	306	333	640	121	282	27	10	292	84	-6	+1	+0	+1	+6	0.3
2030	25	MLB MLE	HOU	52%	346	302	65	13	2	7	33	92	8	7	2	215	308	339	647	124	282	27	10	294	85	-6	+1	+0	+1	+7	0.3
2031	26	MLB MLE	HOU	54%	377	330	71	15	2	7	36	100	8	7	2	216	308	342	650	126	282	27	10	296	86	-6	+1	+0	+1	+8	0.4
2032	27	MLB MLE	HOU	54%	390	342	74	15	2	8	37	103	8	7	2	217	308	343	651	126	282	26	9	296	86	-6	+1	+0	+1	+8	0.4
2033	28	MLB MLE	HOU	54%	392	344	74	15	2	8	37	104	8	6	2	215	306	338	644	124	281	27	9	293	84	-7	+0	-1	+1	+8	0.2
2034	29	MLB MLE	HOU	53%	385	338	72	15	2	7	36	103	8	6	2	212	303	332	634	120	280	27	9	289	82	-8	+0	-1	+1	+8	0.0
2035	30	MLB MLE	HOU	52%	375	330	69	14	2	7	35	102	7	5	2	209	299	324	623	115	278	27	9	284	79	-10	+0	-2	+1	+8	-0.2
2028	23	MLB CTX	HOU	34%	72	63	13	3	0	1	7	20	2	1	0	212	306	329	635	117	285	28	10	290	81	-2	+0	+0	+0	+2	0.0
2029	24	MLB CTX	HOU	46%	134	117	25	5	1	2	13	36	3	3	1	215	309	337	646	122	286	27	10	294	84	-3	+0	+0	+0	+3	0.1
2030	25	MLB CTX	HOU	52%	179	156	33	7	1	3	17	48	4	3	1	217	310	343	653	125	287	27	9	297	85	-3	+0	+0	+1	+4	0.2
2031	26	MLB CTX	HOU	54%	204	179	39	8	1	4	19	54	4	4	1	219	311	346	657	127	287	26	9	298	86	-3	+0	+0	+1	+4	0.2
2032	27	MLB CTX	HOU	54%	212	186	41	9	1	4	20	56	4	4	1	219	310	347	657	127	287	26	9	298	86	-3	+0	+0	+1	+5	0.2
2033	28	MLB CTX	HOU	54%	213	187	41	9	1	4	20	57	4	4	1	217	308	342	650	124	286	27	9	295	84	-4	+0	-0	+1	+5	0.1
2034	29	MLB CTX	HOU	53%	204	179	38	8	1	4	19	55	4	3	1	215	305	335	641	121	284	27	9	292	82	-4	+0	-1	+1	+4	0.0
2035	30	MLB CTX	HOU	52%	197	173	36	8	1	3	18	54	4	3	1	212	302	327	629	116	282	27	9	287	79	-5	+0	-1	+1	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1415	1240	266	57	7	25	133	380	29	25	7	215	305	332	638	118	286	27	9	294	81	-28	+2	-2	+5	+31	0.8
/ 162G	—	A+C		—	650	570	121	26	3	11	61	175	13	11	3	212	303	326	629	114	284	27	9	294	81	-13	+1	-1	+2	+14	0.4
Career	—	MLE		—	3403	2962	615	129	21	61	326	949	88	74	22	208	305	327	632	120	281	28	10	288	81	-59	+4	-4	+10	+64	1.6
/ 162G	—	MLE		—	650	566	118	25	4	12	62	181	17	14	4	208	305	330	636	122	282	28	10	288	81	-13	+1	-1	+2	+14	0.3

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 AFayetteville Woodpeckers · 265 PAwOBA .356 → .278 (−78)K% 25.3% → 34.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.28%	÷1.000	×1.360	—	—	34.38%
BB% (unintentional) /PA	16.23%	÷1.000	×0.690	—	—	11.20%
HBP% /PA	5.66%	—	×0.780	—	—	4.42%
Singles /BIP	18.12%	÷1.000	×0.920	×1.000	—	16.66%
Doubles /BIP	11.59%	÷1.000	×0.830	×1.000	—	9.62%
Triples /BIP	1.45%	÷1.000	×0.910	×1.000	—	1.32%
Home runs /BIP	2.90%	÷1.000	×0.800	—	—	2.32%

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 ×1.000.

Result: wOBA .356 → .278; ISO .156 → .124; BABIP .316 → .278. 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+Asheville Tourists · 19 PAwOBA .264 → .176 (−88)K% 42.1% → 55.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	42.11%	÷1.000	×1.310	—	—	55.16%
BB% (unintentional) /PA	0.00%	÷1.000	×0.600	—	×1.012	0.00%
HBP% /PA	0.00%	—	×0.770	—	×1.012	0.00%
Singles /BIP	18.18%	÷1.000	×0.870	—	×1.012	16.01%
Doubles /BIP	9.09%	÷1.000	×0.780	—	×1.012	7.18%
Triples /BIP	0.00%	÷1.000	×0.850	—	×1.012	0.00%
Home runs /BIP	9.09%	÷1.000	×0.880	—	×1.012	8.10%

Factors used: league row South Atlantic 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).

Result: wOBA .264 → .176; ISO .211 → .141; BABIP .300 → .252. 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 ROKACL Brewers · 183 PAwOBA .387 → .261 (−126)K% 22.4% → 33.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.40%	÷0.973	×1.440	—	—	33.17%
BB% (unintentional) /PA	16.39%	÷1.011	×0.620	—	×0.985	9.90%
HBP% /PA	5.46%	—	×0.720	—	×0.985	3.88%
Singles /BIP	23.76%	÷1.031	×0.820	×0.977	×0.985	18.18%
Doubles /BIP	5.94%	÷1.109	×0.720	×0.977	×0.985	3.71%
Triples /BIP	4.95%	÷1.001	×0.720	×0.977	×0.985	3.42%
Home runs /BIP	2.97%	÷0.971	×0.780	—	×0.985	2.35%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 106, 2B 122, 3B 100, K 95, BB 102 — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.977.

Result: wOBA .387 → .261; ISO .176 → .120; BABIP .354 → .257. 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
#1Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#2Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#3Luis Rivera'86-'98 * career totals — 8 seasons, 2,453 PA	3.7	2,453	28	20	232*	291*	357*	+24	+5	1.2	2.3
/162	664	8	5	+6.4	+1.4	0.3	pk7: 3
#4Scott Leius'90-'99 * career totals — 5 seasons, 1,727 PA	2.6	1,727	28	16	237*	306*	358*	+5	+5	1.5	2.1
/162	664	11	6	+2.0	+1.9	0.6	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.4	1,585	29	28	213	302	335	+6	+5	2.1	2.0
/162	664	12	12	+2.4	+2.1	0.9	pk7: 2
#5Doug Strange'89-'98 * career totals — 8 seasons, 2,067 PA	3.1	2,067	31	14	225*	286*	340*	+5	-0	-1.5	0.0
/162	664	10	4	+1.6	-0.1	-0.5	pk7: 1
#6Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	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
Jadyn Fielder (OGILVIE)	22	40	35	50	60	203/298/310	107	279	2	3	28%	10%	77	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alexander Campos 2022 · A	22	43	42→40	46→45	49	206/292/311	105	279	9	6	28%	9%	74	-0.6	222/303/310	88	316	7	6	29%	9%	78	-0.3	239/331/311	72	336	7	6	28%	11%	86	+0.1
✕David Martin 2023 · A	22	45	39→30	49→30	42	211/284/299	89	296	5	7	29%	6%	68	-1.0	224/307/292	68	280	4	4	20%	9%	75	-0.5	244/339/302	58	293	4	1	16%	10%	87	+0.2
✕Luke Shliger 2024 · A	22	48	39→40	47→50	46	228/295/315	87	300	6	9	25%	7%	75	-0.5	216/309/312	96	303	8	12	28%	10%	80	-0.1	213/312/314	101	295	10	14	28%	11%	82	-0.0
✕Nolan Fontana 2014 · A	23	45	40	52→50	60	209/326/308	98	294	7	14	28%	14%	86	+0.3	210/308/299	89	309	4	9	29%	12%	77	-0.3	186/292/310	124	256	11	12	29%	12%	73	-0.3
✕Anthony Seigler 2021 · A	22	43→40	37→45	49→55	47	202/280/276	75	285	5	6	29%	9%	61	-1.5	191/285/298	107	268	9	9	29%	11%	69	-0.9	221/312/347	126	270	10	25	21%	11%	87	+0.2
✕Jace Jung 2023 · A	22	45→44	39→50	50→40	51	211/295/304	92	294	6	7	28%	11%	73	-0.6	220/306/378	158	292	18	4	29%	10%	94	+0.9	214/306/374	160	280	19	3	29%	11%	91	+0.6
✕Jacob Gonzalez 2024 · A	22	44→45	38→45	46→50	51	208/290/285	76	270	6	6	24%	9%	67	-1.1	218/275/329	111	256	11	12	19%	6%	71	-0.8	220/279/347	127	253	14	13	19%	6%	75	-0.4
✕Sherman Johnson 2013 · A	23	45→49	39→45	52→50	53	213/301/306	94	282	6	9	25%	11%	76	-0.4	219/297/329	110	279	8	12	23%	9%	79	-0.2	210/291/324	114	260	9	14	22%	10%	73	-0.6
✕Logan Vick 2014 · A	23	48	41→45	51→50	54	224/317/329	105	303	7	15	26%	12%	86	+0.3	193/282/288	95	290	7	13	32%	11%	65	-1.2	145/247/224	79	228	5	13	35%	11%	36	-2.2
✕Ryne Malone 2007 · A	22	48	41→45	48→50	49	227/297/333	106	290	6	10	23%	8%	80	-0.2	215/279/310	95	272	7	6	22%	7%	68	-1.0	197/264/276	80	244	5	1	20%	7%	53	-1.0
✕Carlos Vidal 2017 · A	21	46	42→45	49→50	49	226/296/336	110	274	9	12	21%	8%	80	-0.1	230/278/320	90	300	5	7	24%	6%	69	-0.9	235/281/325	90	304	4	6	23%	5%	68	-0.5
✕Darrien Miller 2024 · A	23	39→42	44→45	48→45	47	194/289/310	116	258	12	6	28%	9%	74	-0.6	192/313/294	102	262	8	5	27%	11%	80	-0.2	179/320/285	107	245	9	4	27%	12%	79	-0.1
✕Juan Mora 2022 · A	22	44	42→45	55	47	215/295/325	110	284	9	14	26%	8%	78	-0.3	222/280/325	103	297	9	9	27%	6%	72	-0.7	218/275/319	102	286	9	8	26%	5%	67	-0.5
✕Braiden Ward 2022 · A	23	48	37→40	47→70	46	223/310/298	75	312	4	10	28%	8%	78	-0.3	219/314/300	81	314	5	44	30%	6%	80	-0.1	233/320/331	98	311	5	64	24%	6%	85	+0.2
✕Conner Crumbliss 2010 · A	23	49→48	40→45	50	50	230/314/332	102	296	6	10	23%	9%	86	+0.3	223/325/314	91	283	6	14	21%	13%	86	+0.3	218/327/309	92	274	7	16	20%	13%	85	+0.2
✕Graysen Tarlow 2024 · A	23	45	43→30	49→40	50	217/307/331	113	283	10	8	25%	9%	84	+0.1	211/291/285	74	299	6	6	29%	8%	68	-1.0	224/307/292	68	313	6	7	28%	8%	76	-0.1
✕Daniel Vellojin 2022 · A	22	44	43→45	45	56	213/315/327	114	278	9	7	25%	12%	86	+0.3	190/277/296	106	269	11	5	31%	10%	65	-1.2	162/249/251	89	227	10	4	31%	10%	42	-1.2
✕Enmanuel Terrero 2024 · A	21	49	41→45	51→55	48	228/305/328	100	320	8	16	29%	10%	82	-0.0	198/259/296	98	322	10	15	39%	7%	57	-1.8	148/206/227	79	248	11	17	43%	6%	20	-1.2
✕Taylor Krick 2011 · A	23	43	39→30	48→40	50	207/292/287	80	272	6	7	25%	9%	68	-1.0	226/310/289	63	311	3	5	26%	8%	76	-0.4	233/322/283	50	324	2	2	25%	8%	76	-0.2
✕Spencer Nivens 2024 · A	22	41→49	41→45	48→50	52	199/280/294	96	255	8	14	24%	10%	65	-1.2	208/277/334	126	276	13	11	28%	9%	73	-0.6	211/281/333	122	272	12	12	26%	9%	73	-0.5

Jadyn Fielder

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps