Jack Goodman — OGILVIE

Jack GoodmanSS Lakeland Flying Tigers

Age 22 R/R 6'0" / 185 lbs A HR -8% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION301 act + 10 ros · stats below = ROS only

showingROS

wRC+†45

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%40

BB%10

BABIP261

ISO98

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 25 / POW 39

Toolsscout grade

CONTACT25

scouting grade only

POWER39

scouting grade only

EYE59

scouting grade only

SPEED56

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	Ext	beyond projection horizon · no WAR estimate
2029	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$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)
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	182	+5	+0	—	—	+1	0.7
▸ 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	350	21	13	361	130	+2	+0	—	—	+1	0.3
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	361	130	—	—	—	—	—	—
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	130	—	—	—	—	—	—
2025	21	A MLE	Lakeland Flying Tigers	—	52	44	13	3	1	1	7	11	1	4	1	295	404	477	881	182	350	21	13	361	130	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	21	A MLE	Lakeland Flying Tigers	—	52	44	13	3	1	1	7	11	1	4	1	295	404	477	881	182	350	21	13	361	130	—	—	—	—	—	—
YTD	22	A MLE	DET	—	301	267	40	7	0	2	26	123	4	10	3	150	236	199	434	49	260	41	9	204	24	-27	+1	+0	+3	+7	-1.7
▸ 2026 season
YTD	22	A RAW	DET	—	301	258	51	8	0	3	34	87	4	10	3	198	300	264	563	66	279	29	11	264	24	—	—	—	—	—	—
ROS	22	A MLE	DET	0%	10	9	1	0	0	0	1	4	0	0	0	111	200	111	311		265	40	10	235	45	-1	+0	+0	+0	+0	-0.0
TOT	22	A MLE	DET	—	311	276	41	7	0	2	27	127	4	10	3	149	235	196	430	47	258	41	9	205	25	-28	+1	+0	+3	+7	-1.7
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	DET	34%	282	252	45	8	1	4	25	97	3	5	1	179	261	266	527	87	271	34	9	249	54	-15	+1	+0	+3	+6	-0.6
2027	23	MLB CTX	DET	34%	97	87	15	3	0	1	9	33	1	2	0	172	258	241	499	69	266	34	9	237	54	-5	+0	+0	+1	+2	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	97	87	15	3	0	1	9	33	1	2	0	172	258	241	499	69	264	34	9	237	66	-5	+0	+0	+1	+2	-0.2
/ 162G	—	A+C		—	650	583	101	20	0	7	60	221	7	13	0	173	258	244	502	70	265	34	9	237	66	-35	+3	+0	+7	+14	-1.2
Career	—	MLE		—	344	305	59	11	2	5	33	112	4	9	2	193	281	292	573	98	286	33	10	265	66	-16	+1	+0	+3	+6	-0.6
/ 162G	—	MLE		—	650	576	111	21	4	9	62	212	8	17	4	193	280	290	570	97	286	33	10	265	66	-36	+1	+0	+7	+14	-1.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#2John McDonaldlast yr '14 career totals — 13 seasons, 2,596 PA	3.9	2,596	28	34	233	273	324	+20	+54	4.2	5.1
/162	664	7	9	+5.0	+13.9	1.1	pk7: 6
#3Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#4Adam 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
#5Ryan 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 1 projected seasons	0.3	218	3	4	186	265	282	+2	+3	-0.2	-0.1
/162	664	10	12	+7.1	+9.1	-0.7	pk7: 0
#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
Jack Goodman (OGILVIE)	22	20→25	34→39	51→56	59	170/253/247	78	265	1	3	36%	9%	45	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Chris Roller 2019 · A	22	39	41→45	51→55	42	192/267/295	103	286	9	14	34%	8%	61	-1.5	205/269/313	108	292	7	12	30%	6%	65	-1.2	178/265/281	103	258	10	19	32%	8%	56	-1.0
✕Connor Pavolony 2022 · A	22	41	40	52→40	48	195/281/291	96	301	8	10	35%	10%	65	-1.2	175/265/265	90	292	8	6	39%	10%	54	-2.0	143/238/220	77	237	7	2	39%	10%	32	-1.4
✕Max George 2018 · A	22	39→38	42→45	50→55	44	192/267/299	107	251	9	15	27%	7%	61	-1.5	187/269/294	107	260	10	20	30%	7%	62	-1.4	144/249/271	127	213	15	25	38%	9%	48	-1.2
✕Nelson Medina 2022 · A	21	40	38→45	53→50	48	189/275/275	85	275	5	15	31%	10%	59	-1.6	188/260/285	97	334	7	13	42%	8%	55	-1.9	138/202/215	77	286	6	16	50%	7%	15	-1.7
✕Nate Easley 2018 · A	22	42	40→45	52→50	45	204/268/297	93	284	7	13	29%	8%	61	-1.5	198/251/292	94	304	7	11	35%	7%	53	-2.1	202/252/308	106	290	8	10	32%	6%	54	-1.3
✕Jawuan Harris 2019 · A	22	40→28	40	51→55	42	188/270/283	95	293	7	14	35%	8%	59	-1.6	164/256/247	83	313	6	19	45%	9%	47	-2.6	125/229/196	72	258	5	26	48%	10%	23	-2.1
✕Misael Urbina 2023 · A	21	38→30	41→45	48→50	44	187/255/292	104	257	8	12	29%	8%	55	-1.9	174/252/260	86	262	6	9	33%	9%	47	-2.5	158/245/237	79	236	5	8	32%	9%	37	-1.9
✕Grae Kessinger 2021 · A	23	43→31	39→45	50	47	208/276/293	85	264	7	12	23%	8%	63	-1.4	191/260/296	105	257	12	15	29%	8%	59	-1.7	179/261/273	93	244	9	8	29%	9%	52	-0.9
✕Fabian Pertuz 2023 · A	22	37→34	40	49→55	33	186/229/277	91	285	8	9	37%	4%	41	-3.0	175/226/265	90	273	8	12	37%	5%	38	-3.2	148/203/228	80	231	8	13	38%	5%	19	-2.4
✕Tanner Schobel 2023 · A	22	45→43	39→45	52→50	48	212/289/294	82	293	6	13	28%	9%	68	-1.0	203/272/311	108	268	11	10	27%	8%	65	-1.2	194/265/303	109	253	11	10	27%	8%	60	-1.3
✕Jhonny Santos 2019 · A	22	41	40→45	50	41	203/253/296	93	271	8	14	28%	6%	55	-2.0	206/262/323	117	278	12	13	29%	6%	65	-1.2	190/248/321	131	245	17	9	29%	7%	57	-0.8
✕Osiris Johnson 2023 · A	22	37	41→40	51→50	39	187/239/278	91	259	10	9	31%	6%	46	-2.6	193/241/286	93	274	10	14	32%	5%	48	-2.5	175/222/262	87	248	10	18	33%	5%	32	-1.4
✕Sean McLain 2023 · A	22	42→34	40	51→50	40	201/272/293	92	308	8	13	35%	7%	62	-1.4	186/260/277	91	280	8	9	34%	7%	54	-2.0	169/248/255	86	251	8	11	34%	7%	42	-1.7
✕Brandon Lewis 2021 · A	22	42→35	39→50	49→30	41	203/264/289	86	290	7	6	31%	6%	57	-1.8	197/250/365	168	291	23	3	39%	6%	71	-0.8	177/231/332	154	254	22	1	39%	5%	54	-1.4
✕Tyler Kolodny 2010 · A	22	40→36	43→45	49→50	41	200/271/316	116	273	11	8	30%	6%	67	-1.1	208/282/338	130	278	13	10	29%	6%	76	-0.4	207/287/352	145	264	16	10	27%	6%	79	-0.1
✕Ismael Alcantara 2021 · A	22	44→29	38→45	57→50	41	201/270/281	80	317	5	16	36%	8%	58	-1.7	210/268/333	123	318	12	13	36%	6%	69	-0.9	199/258/307	108	299	12	16	35%	6%	56	-1.0
✕Malvin Matos 2019 · A	22	43→38	39→45	48→50	44	207/272/295	88	279	6	10	26%	7%	62	-1.4	207/272/314	107	293	11	11	31%	7%	67	-1.1	192/261/297	104	266	13	13	31%	7%	55	-1.5
✕Marcus Chiu 2019 · A	22	40→27	45	53→45	37	201/281/329	128	285	13	11	32%	5%	75	-0.5	179/267/301	122	311	13	6	44%	7%	63	-1.3	160/247/277	116	274	14	3	44%	7%	47	-1.5
✕Raul Siri 2018 · A	23	39	38→40	51→50	42	192/251/271	80	265	6	11	29%	7%	49	-2.4	199/265/283	84	347	5	9	41%	7%	57	-1.8	146/235/232	85	299	4	14	47%	8%	34	-0.6
✕Brett Martinez 2006 · A	22	44→40	41→40	54→50	45	209/283/308	98	287	8	8	28%	8%	69	-0.9	201/259/267	66	286	5	7	29%	7%	50	-2.3	192/247/241	49	273	5	5	30%	6%	38	-2.1

Career Stats + Projections

Career Comps

Career Path Comps