Josh Springer

C Hickory Crawdads

Age 21 R/R 6'3" / 205 lbs A HR +15%BB +5% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#737ETA2030MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	19	A/ROKTEX	179	.268/.339/.357	1	4	49	—	.215/.264/.282
2026	20	ATEX	209	.289/.374/.350	1	5	82	—	.269/.340/.323
2027PROJMLE	21	MLBTEX	319	.227/.284/.319	4	6	70	0.1
2028PROJ25% MLB	22	MLBTEX	42	.231/.289/.334	1	1	75	0.1
2029PROJ38% MLB	23	MLBTEX	98	.234/.293/.344	2	2	79	0.2

Next 3 projected WAR 0.3Projected 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

K%99

Whiff%99

Z-Con%99

wRC+56

wOBA51

Speed26

Career WAR0.0 WAR median (P10 -0.3 / P90 4.7, comp-based) · star 2% · didn't stick 90%

CompsLuis Alvarez (age 21) · Juan Uriarte (age 21) · Blake Ochoa (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 121 proj PA

wRC+†70

AVG/OBP/SLG.225 / .281 / .316

PA121

HR1

K%20

BB%6

ISO92

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$14M ctrl surplus

Contract

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	+0.5	$1M	+$0.8M
2033	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2034	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2035	Arb-1	$1M	+0.2	$0.4M	+$0.0M (cut)
2036	Arb-2	$2M	+0.1	$0.2M	+$0.0M (cut)
2037	Arb-3	$0.6M	—	—	—
Totals		$3M		$4M	+$2M

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)
2025	19	A	Hickory Crawdads	—	46	41	9	2	0	0	2	1	0	1	1	220	256	268	524	49	209	2	4	224	36	—	—	—	—	—	—
2025	19	ROK	ACL Rangers	—	133	116	33	9	0	1	11	9	4	3	1	284	366	388	754	103	299	7	8	339	54	—	—	—	—	—	—
2026	20	A	Hickory Crawdads	—	209	180	52	8	0	1	18	11	7	5	1	289	374	350	724	61	300	5	9	330	82	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	19	A MLE	Hickory Crawdads	—	46	42	9	2	0	0	1	1	0	1	1	214	233	262	494	48	196	2	2	221	36	—	—	—	—	—	—
2025	19	ROK MLE	ACL Rangers	—	133	121	26	6	0	1	6	13	4	3	1	215	275	289	564	74	230	10	5	248	54	—	—	—	—	—	—
2026	20	A MLE	Hickory Crawdads	—	209	186	50	7	0	1	13	15	7	5	1	269	340	323	662	54	276	7	6	290	82	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	179	163	36	8	0	1	7	15	4	4	2	221	270	288	558	67	232	8	4	241	49	—	—	—	—	—	—
2025	19	ROK RAW	2 teams	—	179	157	42	11	0	1	13	10	4	4	2	268	339	357	696	89	273	6	7	309	49	—	—	—	—	—	—
2026	20	A MLE	Hickory Crawdads	—	209	186	50	7	0	1	13	15	7	5	1	269	340	323	662	54	285	7	6	290	82	—	—	—	—	—	—
2026	20	A RAW	Hickory Crawdads	—	209	180	52	8	0	1	18	11	7	5	1	289	374	350	724	61	300	5	9	330	82	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	179	166	36	8	0	1	7	15	4	4	2	217	270	283	553	66	221	8	4	241	49	—	—	—	—	—	—
2026	20	A MLE	Hickory Crawdads	—	209	187	50	7	0	1	13	15	7	5	1	267	340	321	661	53	276	7	6	290	82	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	19	ROK MLE	2 teams	—	179	166	36	8	0	1	7	15	4	4	2	217	270	283	553	66	221	8	4	241	49	—	—	—	—	—	—
2026	20	A MLE	Hickory Crawdads	—	209	187	50	7	0	1	13	15	7	5	1	267	340	321	661	53	276	7	6	290	82	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	TEX	0%	319	293	67	12	2	4	19	63	4	6	1	227	284	319	602	92	274	20	6	272	70	-11	+1	-0	+6	+7	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	TEX	25%	169	155	36	7	1	2	10	33	2	3	1	230	289	332	620	101	276	20	6	280	75	-5	+0	-0	+3	+4	0.2
2029	23	MLB MLE	TEX	38%	256	234	54	10	1	4	16	50	4	5	1	233	293	341	634	108	277	20	6	285	79	-6	+1	-0	+5	+6	0.4
2030	24	MLB MLE	TEX	44%	337	307	72	13	2	6	22	66	5	6	2	235	296	349	644	113	279	20	7	289	82	-7	+0	-0	+6	+7	0.6
2031	25	MLB MLE	TEX	47%	381	348	82	15	2	7	25	75	5	7	2	236	297	353	651	117	279	20	7	292	84	-7	+1	-0	+7	+8	0.8
2032	26	MLB MLE	TEX	49%	407	372	88	16	2	8	27	81	5	8	2	237	298	356	654	119	280	20	7	293	85	-7	+1	-0	+7	+9	0.9
2033	27	MLB MLE	TEX	49%	417	381	90	17	2	8	28	83	5	8	2	236	297	353	651	118	279	20	7	292	84	-8	+1	-0	+7	+9	0.9
2034	28	MLB MLE	TEX	49%	417	381	89	16	2	8	28	84	5	7	2	234	295	349	644	115	278	20	7	289	82	-9	+1	-1	+7	+9	0.7
2035	29	MLB MLE	TEX	48%	408	373	86	16	2	7	27	83	5	6	2	231	292	342	635	111	277	20	7	286	79	-10	+0	-2	+7	+9	0.5
2036	30	MLB MLE	TEX	47%	398	364	83	15	2	7	26	83	5	6	2	228	289	335	623	106	275	21	7	281	76	-11	+0	-2	+7	+9	0.3
2037	31	MLB MLE	TEX	47%	365	334	76	14	2	6	24	77	4	4	3	224	284	325	608	101	272	21	7	275	72	-12	-0	-3	+7	+8	-0.1
2028	22	MLB CTX	TEX	25%	42	38	9	2	0	1	3	8	1	1	0	231	289	334	623	103	275	19	7	281	75	-1	+0	-0	+1	+1	0.1
2029	23	MLB CTX	TEX	38%	98	91	22	4	1	2	6	19	1	2	0	234	293	344	637	110	277	19	6	286	79	-2	+0	-0	+2	+2	0.2
2030	24	MLB CTX	TEX	44%	148	135	33	6	1	3	10	29	2	3	1	236	296	352	648	116	278	20	7	291	82	-3	+0	-0	+3	+3	0.3
2031	25	MLB CTX	TEX	47%	180	164	39	7	1	4	12	35	2	3	1	237	298	357	655	120	279	19	7	294	84	-3	+0	-0	+3	+4	0.4
2032	26	MLB CTX	TEX	49%	200	182	43	8	1	4	13	40	3	4	1	237	299	360	659	122	279	20	6	295	85	-4	+0	-0	+4	+4	0.5
2033	27	MLB CTX	TEX	49%	205	186	44	8	1	4	14	41	3	4	1	236	298	357	655	121	279	20	7	294	84	-4	+0	-0	+4	+4	0.4
2034	28	MLB CTX	TEX	49%	205	186	44	8	1	4	14	41	3	3	1	234	296	352	648	118	278	20	7	291	82	-4	+0	-0	+4	+4	0.3
2035	29	MLB CTX	TEX	48%	197	180	42	7	1	4	13	40	2	3	1	232	293	346	639	114	276	20	7	287	79	-5	+0	-1	+4	+4	0.2
2036	30	MLB CTX	TEX	47%	189	173	39	7	1	3	12	39	2	3	1	229	289	338	627	109	274	21	6	282	76	-5	+0	-1	+3	+4	0.1
2037	31	MLB CTX	TEX	47%	172	157	36	6	1	3	11	36	2	2	1	224	284	327	612	103	271	21	6	276	72	-6	+0	-1	+3	+4	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1636	1492	351	63	9	32	108	328	21	28	8	235	296	354	650	119	280	20	7	288	79	-38	+2	-5	+29	+35	2.5
/ 162G	—	A+C		—	650	593	140	25	4	13	43	130	8	11	3	236	297	358	654	121	280	20	7	288	79	-15	+1	-2	+12	+14	1.0
Career	—	MLE		—	4064	3709	867	159	19	66	260	769	58	71	23	234	294	340	635	106	276	19	6	284	79	-88	+4	-10	+66	+80	5.3
/ 162G	—	MLE		—	650	593	139	25	3	11	42	123	9	11	4	234	295	342	637	108	276	19	6	284	79	-16	+1	-2	+12	+14	0.9

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 AHickory Crawdads · 209 PAwOBA .325 → .290 (−35)K% 5.3% → 7.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	5.26%	÷1.000	×1.360	—	—	7.16%
BB% (unintentional) /PA	8.61%	÷1.000	×0.690	—	×1.030	6.12%
HBP% /PA	3.35%	—	×0.780	—	×1.030	2.69%
Singles /BIP	25.44%	÷1.000	×0.920	×0.985	×1.030	23.75%
Doubles /BIP	4.73%	÷1.000	×0.830	×0.985	×1.030	3.99%
Triples /BIP	0.00%	÷1.000	×0.910	×0.985	×1.030	0.00%
Home runs /BIP	0.59%	÷1.000	×0.800	—	×1.030	0.49%

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 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.985.

Result: wOBA .325 → .290; ISO .061 → .053; BABIP .300 → .276. 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 Rangers · 133 PAwOBA .330 → .248 (−82)K% 6.8% → 9.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.77%	÷0.981	×1.440	—	—	9.94%
BB% (unintentional) /PA	7.52%	÷1.016	×0.620	—	×1.008	4.62%
HBP% /PA	3.01%	—	×0.720	—	×1.008	2.18%
Singles /BIP	21.50%	÷0.991	×0.820	×0.967	×1.008	17.33%
Doubles /BIP	8.41%	÷1.017	×0.720	×0.967	×1.008	5.80%
Triples /BIP	0.00%	÷1.138	×0.720	×0.967	×1.008	0.00%
Home runs /BIP	0.93%	÷1.302	×0.780	—	×1.008	0.56%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 160, 1B 98, 2B 103, 3B 128, K 96, BB 103 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.967.

Result: wOBA .330 → .248; ISO .103 → .072; BABIP .299 → .230. 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 AHickory Crawdads · 46 PAwOBA .233 → .221 (−12)K% 2.2% → 3.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	2.17%	÷0.981	×1.360	—	—	3.01%
BB% (unintentional) /PA	4.35%	÷1.051	×0.690	—	×1.045	2.98%
HBP% /PA	0.00%	—	×0.780	—	×1.045	0.00%
Singles /BIP	17.50%	÷1.002	×0.920	×1.013	×1.045	17.00%
Doubles /BIP	5.00%	÷1.123	×0.830	×1.013	×1.045	3.91%
Triples /BIP	0.00%	÷1.039	×0.910	×1.013	×1.045	0.00%
Home runs /BIP	0.00%	÷1.037	×0.800	—	×1.045	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 100, 2B 125, 3B 108, K 96, BB 110 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.

Result: wOBA .233 → .221; ISO .049 → .041; BABIP .209 → .196. 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
#1Dioner Navarrolast yr '16 career totals — 12 seasons, 3,544 PA	5.3	3,544	77	14	250	308	370	+63	-1	12.1	11.6
/162	664	14	3	+11.9	-0.2	2.3	pk7: 11
#2Stephen Vogtlast yr '22 career totals — 9 seasons, 2,571 PA	3.9	2,571	82	5	241	303	410	+36	-11	9.3	9.4
/162	664	21	1	+9.2	-2.8	2.4	pk7: 9
#3Brian Schneider'00-'12 * career totals — 12 seasons, 3,570 PA	5.4	3,570	67	4	238*	309*	359*	+63	-0	9.0	8.8
/162	664	12	1	+11.7	-0.1	1.7	pk7: 9
#4Buck Rodgers'61-'69 * career totals — 9 seasons, 3,353 PA	5.0	3,353	31	17	239*	294*	339*	+60	+0	6.4	6.5
/162	664	6	3	+11.8	+0.0	1.3	pk7: 7
#5Fred Kendall'69-'80 * career totals — 8 seasons, 2,823 PA	4.3	2,823	31	5	231*	283*	340*	+48	+1	5.0	5.9
/162	664	7	1	+11.2	+0.1	1.2	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.6	1,756	31	29	233	290	345	+31	+0	4.0	3.7
/162	664	12	11	+11.9	+0.0	1.5	pk7: 3
#6Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	pk7: 4

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
Josh Springer (OGILVIE)	21	—	—	—	—	225/281/316	91	274	1	2	20%	6%	70	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis Alvarez 2011 · A	21	45	40	48→45	47	216/287/311	94	272	7	6	22%	7%	72	-0.7	217/271/325	108	273	10	5	24%	5%	68	-1.0	209/261/319	110	249	12	1	21%	4%	60	-0.3
✕Juan Uriarte 2019 · A	21	46	41→45	49→30	41	223/277/319	96	282	8	4	23%	5%	69	-0.9	187/230/267	80	281	6	4	34%	4%	39	-3.1	146/183/206	60	224	4	0	36%	2%	4	-1.5
✕Blake Ochoa 2007 · A	21	45	40→45	46→40	44	215/280/307	92	280	6	5	24%	6%	68	-1.0	215/267/309	94	279	7	4	24%	6%	63	-1.4	229/292/365	137	275	15	2	22%	7%	85	+0.1
✕Jose Cordova 2021 · A	21	45	36→40	50	43	214/272/279	65	268	3	13	21%	5%	58	-1.7	209/262/276	67	302	3	9	30%	5%	53	-2.1	237/299/326	89	314	5	11	24%	7%	75	-0.2
✕Abrahan Gutierrez 2021 · A	21	45→41	39→45	46→40	43	217/266/297	81	277	7	6	24%	6%	59	-1.6	224/295/328	104	296	9	4	26%	8%	78	-0.3	216/291/318	102	282	9	2	25%	8%	72	-0.4
✕Tomás Nido 2015 · A	21	44→45	39→45	49→30	43	213/268/301	88	286	6	7	27%	6%	61	-1.5	234/265/337	103	307	9	2	26%	4%	68	-1.0	244/279/354	110	291	9	0	19%	4%	75	-0.3
✕José Caballero 2019 · A	22	47→45	43→45	47→70	45	231/292/348	117	278	10	9	21%	6%	81	-0.1	219/292/328	109	283	9	26	25%	8%	78	-0.3	226/318/339	113	301	10	63	26%	9%	91	+0.4
✕Jeferson Morales 2021 · A	22	42→47	40→45	47→50	52	201/291/303	102	246	6	8	20%	9%	72	-0.7	201/282/330	129	264	13	9	28%	8%	75	-0.5	222/297/349	127	274	11	8	22%	7%	81	-0.0
✕Franklin Torres 2019 · A	22	46→41	41→40	52→50	46	222/276/315	93	278	8	8	23%	7%	68	-1.0	208/271/291	83	305	6	5	31%	8%	60	-1.6	192/256/262	70	294	5	1	34%	8%	46	-1.4
✕Luis Caicuto 2024 · A	21	48	37→45	46→50	46	223/294/301	78	298	4	6	25%	8%	72	-0.7	210/278/278	68	274	4	6	23%	6%	61	-1.5	197/271/279	82	244	7	8	21%	7%	57	-0.7
✕Adrián Sugastey 2024 · A	21	48	39→40	49→40	43	231/277/319	88	285	7	3	21%	5%	68	-1.0	223/263/313	90	264	7	4	18%	5%	62	-1.4	225/265/311	86	256	8	3	15%	4%	60	-0.7
✕Emilio Guerrero 2014 · A	21	45→42	40→45	49→45	43	218/270/312	94	278	8	11	24%	6%	65	-1.2	215/257/317	102	302	9	7	30%	5%	61	-1.5	221/259/335	114	296	9	5	28%	4%	63	-0.7
✕Glenn Santiago 2022 · A	21	42	39→40	51→45	49	202/274/291	88	241	7	11	19%	7%	62	-1.4	201/261/287	86	290	7	8	31%	7%	56	-1.9	185/249/263	77	271	7	8	32%	7%	44	-1.1
✕Wilfredo Rodriguez 2014 · A	20	48	39→40	47→50	44	231/276/323	91	287	5	5	21%	6%	69	-0.9	235/273/310	75	276	5	6	16%	4%	64	-1.3	240/274/305	65	276	5	5	15%	4%	63	-0.7
✕Luis Torrens 2017 · A	21	45→49	41→50	46→40	49	217/293/309	93	272	8	6	23%	8%	74	-0.6	218/269/313	95	273	7	3	22%	6%	64	-1.3	233/290/382	149	292	18	0	26%	7%	89	+0.3
✕Tony Cruz 2008 · A	21	48→39	44→45	49→40	45	238/279/357	120	274	12	7	18%	5%	78	-0.3	229/268/351	122	277	11	4	21%	5%	73	-0.6	240/283/351	112	295	8	0	21%	5%	77	-0.2
✕Xavier Fernández 2016 · A	21	46	40→45	44→40	44	221/275/312	91	268	6	3	20%	5%	67	-1.1	225/267/324	99	269	9	3	19%	5%	66	-1.1	233/283/351	119	276	13	2	20%	6%	76	-0.2
✕Bryan Lavastida 2021 · A	22	47→44	38→45	46→55	46	221/290/302	81	298	5	8	26%	8%	70	-0.8	224/291/339	115	293	11	13	26%	7%	79	-0.2	221/293/333	112	282	11	27	24%	8%	77	-0.2
✕Imeldo Diaz 2019 · A	21	44	41→40	46→45	41	215/264/307	91	269	9	5	23%	5%	61	-1.5	231/265/311	80	306	5	5	25%	4%	61	-1.5	238/261/300	62	316	3	2	25%	2%	55	-0.6
✕Kenedy Corona 2021 · A	21	46→42	42→50	53→55	46	221/284/328	107	271	8	14	21%	6%	74	-0.5	210/267/329	119	292	12	21	31%	6%	68	-1.0	203/263/338	135	278	15	26	31%	6%	66	-0.8

Josh Springer

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps