Jack Goodman

SS Lakeland Flying Tigers

Age 23 R/R 6'0" / 185 lbs A HR -8% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#1934ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	21	ADET	52	.333/.462/.524	1	4	123	—	.295/.404/.477
2026	22	ADET	301	.198/.300/.264	3	10	20	—	.152/.229/.196
2027PROJMLE	23	MLBDET	411	.212/.285/.309	6	8	69	0.1
2028PROJ30% MLB	24	MLBDET	66	.212/.285/.312	1	1	73	0.0
2029PROJ44% MLB	25	MLBDET	124	.214/.287/.319	2	2	75	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

Max EV72

Speed53

BB%50

Chase%37

Whiff%35

Z-Con%35

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsChase Strumpf (age 23) · Corey Joyce (age 23) · E.J. Exposito (age 23)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 186 proj PA

wRC+†69

AVG/OBP/SLG.210 / .282 / .306

PA186

HR3

K%33

BB%8

ISO97

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$0M ctrl surplus

Tools · ContractCON 26 / POW 39

Toolsscout grade

CONTACT26

scouting grade only

POWER39

scouting grade only

EYE56

scouting grade only

SPEED56

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	+0.1	$0.3M	+$0.0M (cut)
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		$-0.2M	+$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	21	A	Lakeland Flying Tigers	—	52	42	14	3	1	1	9	8	1	4	1	333	462	524	985	190	394	15	17	437	123	—	—	—	—	—	—
2026	22	A	Lakeland Flying Tigers	—	301	258	51	8	0	3	34	87	4	10	3	198	300	264	563	66	279	29	11	264	20	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	Lakeland Flying Tigers	—	52	44	13	3	1	1	7	11	1	4	1	295	404	477	881	182	340	21	13	350	123	—	—	—	—	—	—
2026	22	A MLE	Lakeland Flying Tigers	—	301	270	41	6	0	2	23	118	4	10	3	152	229	196	425	44	245	39	8	198	20	—	—	—	—	—	—
2025	21	A MLE	Lakeland Flying Tigers	—	52	44	13	3	1	1	7	11	1	4	1	295	404	477	881	182	375	21	13	350	123	—	—	—	—	—	—
2025	21	A RAW	Lakeland Flying Tigers	—	52	42	14	3	1	1	9	8	1	4	1	333	462	524	985	190	394	15	17	437	123	—	—	—	—	—	—
2026	22	A MLE	Lakeland Flying Tigers	—	301	270	41	6	0	2	23	118	4	10	3	152	229	196	425	44	253	39	8	198	20	—	—	—	—	—	—
2026	22	A RAW	Lakeland Flying Tigers	—	301	258	51	8	0	3	34	87	4	10	3	198	300	264	563	66	279	29	11	264	20	—	—	—	—	—	—
2025	21	A MLE	Lakeland Flying Tigers	—	52	44	13	3	1	1	7	11	1	4	1	295	404	477	881	182	340	21	13	350	123	—	—	—	—	—	—
2026	22	A MLE	Lakeland Flying Tigers	—	301	271	41	6	0	2	23	118	4	10	3	151	229	196	425	44	245	39	8	198	20	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	21	A MLE	Lakeland Flying Tigers	—	52	44	13	3	1	1	7	11	1	4	1	295	404	477	881	182	340	21	13	350	123	—	—	—	—	—	—
2026	22	A MLE	Lakeland Flying Tigers	—	301	271	41	6	0	2	23	118	4	10	3	151	229	196	425	44	245	39	8	198	20	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	DET	0%	411	371	78	14	2	6	33	137	4	8	2	212	285	309	593	97	315	33	8	270	69	-15	+1	+0	+4	+9	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	DET	30%	219	197	42	8	1	3	18	71	2	4	1	215	288	319	607	104	315	32	8	276	73	-7	+0	+0	+2	+5	0.0
2029	25	MLB MLE	DET	44%	281	253	56	10	2	5	23	90	3	5	1	218	290	326	617	109	314	32	8	279	75	-8	+1	+0	+3	+6	0.1
2030	26	MLB MLE	DET	51%	329	296	65	12	2	6	27	104	3	6	2	219	292	331	623	112	312	32	8	282	77	-9	+0	+0	+4	+7	0.2
2031	27	MLB MLE	DET	52%	350	315	69	13	2	6	29	109	3	6	2	219	293	332	625	113	311	31	8	283	77	-9	+0	+0	+4	+8	0.2
2032	28	MLB MLE	DET	53%	358	322	70	13	2	6	30	111	3	5	1	219	292	332	624	113	309	31	8	282	77	-10	+1	-1	+4	+8	0.2
2033	29	MLB MLE	DET	53%	355	320	69	13	2	6	29	111	3	4	1	217	289	326	615	109	308	31	8	279	75	-11	+0	-1	+4	+8	-0.0
2034	30	MLB MLE	DET	52%	346	312	67	12	2	6	28	109	3	2	1	214	286	319	605	105	306	32	8	274	72	-12	+0	-2	+4	+7	-0.3
2028	24	MLB CTX	DET	30%	66	60	12	2	0	1	5	22	1	1	0	212	285	312	597	100	310	33	8	272	73	-2	+0	+0	+1	+1	0.0
2029	25	MLB CTX	DET	44%	124	112	24	4	1	2	10	40	1	2	1	214	287	319	606	105	309	32	8	275	75	-4	+0	+0	+1	+3	0.0
2030	26	MLB CTX	DET	51%	167	149	33	6	1	3	14	53	2	3	1	215	289	324	612	108	307	32	8	278	77	-5	+0	+0	+2	+4	0.1
2031	27	MLB CTX	DET	52%	183	164	36	7	1	3	15	57	2	3	1	216	289	325	614	109	306	31	8	278	77	-5	+0	+0	+2	+4	0.1
2032	28	MLB CTX	DET	53%	191	171	37	7	1	3	16	59	2	3	1	215	289	324	613	109	304	31	8	278	77	-5	+0	-0	+2	+4	0.1
2033	29	MLB CTX	DET	53%	186	167	36	7	1	3	15	58	2	2	1	213	286	319	605	106	303	31	8	274	75	-6	+0	-1	+2	+4	-0.0
2034	30	MLB CTX	DET	52%	180	161	34	6	1	3	15	57	2	1	1	210	283	312	594	101	301	32	8	270	72	-6	-0	-1	+2	+4	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1097	984	212	39	6	18	90	346	12	15	6	215	289	322	611	107	310	32	8	275	70	-32	+1	-2	+12	+24	0.2
/ 162G	—	A+C		—	650	583	126	23	4	11	53	205	7	9	4	216	289	326	615	110	310	32	8	275	70	-19	+0	-1	+7	+14	0.1
Career	—	MLE		—	2777	2496	528	97	15	44	229	896	27	49	14	212	285	315	600	104	308	32	8	271	70	-73	+3	-4	+26	+53	0.5
/ 162G	—	MLE		—	650	584	124	23	4	10	54	210	6	11	3	212	286	317	602	104	310	32	8	271	70	-19	+1	-1	+7	+14	0.1

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 ALakeland Flying Tigers · 301 PAwOBA .261 → .198 (−63)K% 28.9% → 39.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.90%	÷1.000	×1.360	—	—	39.31%
BB% (unintentional) /PA	11.30%	÷1.000	×0.690	—	×0.990	7.72%
HBP% /PA	1.33%	—	×0.780	—	×0.990	1.03%
Singles /BIP	23.39%	÷1.000	×0.920	×0.985	×0.990	20.99%
Doubles /BIP	4.68%	÷1.000	×0.830	×0.985	×0.990	3.79%
Triples /BIP	0.00%	÷1.000	×0.910	×0.985	×0.990	0.00%
Home runs /BIP	1.75%	÷1.000	×0.800	—	×0.990	1.39%

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 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.985.

Result: wOBA .261 → .198; ISO .066 → .048; BABIP .279 → .245. 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 ALakeland Flying Tigers · 52 PAwOBA .426 → .350 (−76)K% 15.4% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.38%	÷0.998	×1.360	—	—	20.96%
BB% (unintentional) /PA	17.31%	÷0.945	×0.690	—	—	12.64%
HBP% /PA	1.92%	—	×0.780	—	—	1.50%
Singles /BIP	26.47%	÷1.051	×0.920	—	—	23.17%
Doubles /BIP	8.82%	÷0.971	×0.830	—	—	7.54%
Triples /BIP	2.94%	÷1.150	×0.910	—	—	2.33%
Home runs /BIP	2.94%	÷0.864	×0.800	—	—	2.72%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 73, 1B 110, 2B 94, 3B 130, K 100, BB 89 — 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).

Result: wOBA .426 → .350; ISO .190 → .164; BABIP .394 → .340. 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
#1Gene Michael'66-'75 * career totals — 9 seasons, 3,095 PA	4.7	3,095	15	22	233*	291*	316*	+32	+27	4.6	5.8
/162	664	3	5	+6.8	+5.8	1.0	pk7: 7
#2Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#3Adam 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
#4Tim Bogar'93-'01 * career totals — 8 seasons, 1,710 PA	2.6	1,710	24	13	217*	284*	324*	+11	+37	2.1	2.9
/162	664	9	5	+4.2	+14.4	0.8	pk7: 4
#5Tim Cullen'66-'72 * career totals — 6 seasons, 1,960 PA	3.0	1,960	9	10	229*	288*	313*	+10	+27	2.7	2.7
/162	664	3	3	+3.6	+9.1	0.9	pk7: 3
#6Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.9	1,284	22	18	218	287	326	+14	+12	1.2	1.2
/162	664	11	10	+7.1	+6.2	0.6	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
Jack Goodman (OGILVIE)	23	21→26	34→39	51→56	56	210/282/306	96	315	3	3	33%	8%	69	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Chase Strumpf 2021 · A	23	44→37	41→50	49→45	42	208/283/313	105	305	8	7	32%	7%	71	-0.8	199/294/337	138	307	14	5	37%	10%	81	-0.1	184/291/336	152	287	18	4	38%	11%	77	-0.2
✕Corey Joyce 2022 · AA	23	40	39→40	54→50	39	192/262/271	79	300	7	14	36%	7%	53	-2.1	208/308/324	116	294	11	13	30%	10%	84	+0.1	214/316/317	103	300	9	14	28%	10%	82	+0.0
✕E.J. Exposito 2024 · A	23	37→33	41→50	50→55	43	177/262/268	90	293	9	14	39%	9%	53	-2.1	189/246/321	132	265	16	17	34%	6%	59	-1.7	184/237/328	144	240	19	19	32%	6%	55	-1.5
✕Ben Gobbel 2024 · A	24	44→41	41→45	52→50	42	208/277/307	100	306	8	14	33%	7%	67	-1.1	216/267/338	122	283	14	12	28%	5%	70	-0.8	216/266/339	123	276	15	11	27%	5%	67	-0.8
✕Maverick Handley 2022 · A	24	39	41→40	53→50	40	186/267/286	100	308	9	16	39%	8%	59	-1.6	201/292/301	100	281	10	12	30%	9%	72	-0.7	195/293/283	88	266	8	10	27%	9%	66	-0.6
✕Kody Huff 2024 · A	23	45→42	39→45	48→45	44	210/281/297	86	301	6	5	30%	8%	65	-1.2	212/281/318	106	292	10	7	29%	8%	71	-0.8	208/282/330	122	275	12	8	27%	8%	71	-0.5
✕Sicnarf Loopstok 2017 · A	24	43→36	42→50	50	38	209/268/316	107	294	9	13	31%	5%	65	-1.2	211/280/359	148	299	17	9	34%	7%	80	-0.1	199/274/363	164	277	21	7	34%	7%	80	-0.1
✕Bryan Holaday 2011 · A	23	42	42→45	47→40	42	201/282/303	102	295	9	5	33%	8%	69	-0.9	214/267/303	89	277	7	6	24%	6%	61	-1.5	214/275/334	120	247	13	2	19%	6%	74	-0.2
✕Bryson Ware 2024 · A	23	39→32	44→45	50	40	196/260/308	112	283	12	11	34%	7%	61	-1.5	189/249/307	118	281	13	11	36%	6%	56	-1.9	182/242/307	125	267	15	11	36%	6%	51	-1.4
✕Alerick Soularie 2022 · A	23	43	42→45	54→60	45	206/285/309	103	308	10	15	34%	9%	70	-0.8	197/279/312	115	290	12	22	34%	9%	70	-0.9	181/270/293	112	261	13	29	33%	9%	60	-0.7
✕Jackson Loftin 2023 · A	23	41→34	41→40	53→65	37	196/266/297	101	314	9	14	38%	6%	61	-1.5	179/254/270	91	258	9	31	32%	7%	51	-2.3	156/237/238	83	221	9	40	32%	7%	35	-2.0
✕Sean McLain 2024 · A	23	42→34	42→40	50	40	204/268/303	100	299	10	11	34%	7%	63	-1.4	180/257/269	89	270	8	10	34%	7%	51	-2.2	168/248/254	86	250	8	11	33%	7%	42	-1.7
✕Glenn Santiago 2024 · A	23	44	40	50→45	43	209/272/301	92	295	8	8	30%	7%	63	-1.3	199/260/287	88	290	8	9	32%	7%	55	-1.9	146/208/202	56	213	6	8	33%	6%	15	-1.6
✕Randy Florentino 2023 · A	23	37	41→45	47→45	41	184/247/274	90	275	9	6	35%	7%	48	-2.5	197/245/283	86	259	8	6	26%	6%	49	-2.4	182/223/254	73	228	7	4	23%	5%	32	-1.1
✕Ben Cowles 2023 · A	23	45→40	43→45	49→50	38	203/276/316	113	345	9	11	41%	8%	69	-0.9	208/272/322	114	304	10	16	33%	7%	68	-1.0	202/265/312	110	288	10	18	31%	6%	61	-1.1
✕Raul Beracierta 2022 · A	23	42	44→45	50	37	203/257/328	125	309	11	8	36%	6%	64	-1.3	224/268/345	121	328	14	5	34%	5%	72	-0.7	230/268/353	123	329	17	1	34%	4%	70	-0.5
✕Juan Uriarte 2021 · A	23	39	41→45	48→30	32	192/231/285	93	290	9	6	36%	4%	44	-2.8	197/247/281	84	292	6	6	33%	4%	49	-2.4	150/197/198	48	231	0	0	33%	2%	8	-1.2
✕Connor Pavolony 2023 · A	23	38	42→45	48→40	46	182/278/286	104	289	10	6	37%	10%	63	-1.3	173/251/252	79	287	6	6	38%	8%	45	-2.7	138/214/196	58	229	4	2	38%	8%	16	-2.0
✕Joe Donovan 2022 · A	23	40	42→45	52→40	36	185/267/288	103	319	10	10	42%	7%	60	-1.6	186/250/294	108	292	10	5	38%	6%	54	-2.0	172/233/284	112	260	11	2	36%	5%	43	-1.0
✕Dwanya Williams-Sutton 2021 · A	24	43	41→45	50	46	197/314/296	98	306	9	10	34%	10%	80	-0.1	209/311/330	121	327	12	13	36%	10%	86	+0.3	168/302/289	121	270	14	18	38%	11%	74	-0.2

Jack Goodman

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps