Jack Payton — OGILVIE

Jack PaytonC Richmond Flying Squirrels

Age 24 R/R 5'11" / 209 lbs AA HR -15%H -3% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION328 act + 9 ros · stats below = ROS only

showingROS

wRC+†75

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

PA9

HR0

K%22

BB%11

BABIP292

ISO112

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$17M ctrl surplus

Tools · ContractCON 40 / POW 50

Toolsscout grade

CONTACT40

scouting grade only

POWER50

scouting grade only

EYE50

scouting grade only

SPEED45

scouting grade only

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.6	$2M	+$1M
2030	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2031	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2032	Arb-1	$2M	+0.4	$1M	+$0.2M
2033	Arb-2	$2M	+0.2	$0.5M	+$0.0M (cut)
2034	Arb-3	$1M	+0.1	$0.2M	+$0.0M (cut)
Totals		$4M		$7M	+$3M

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. Catcher framing: only 2026 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 below FG-DC by 1-3 WAR.

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)
2023	21	A	San Jose Giants	—	41	38	7	0	0	1	2	8	1	1	0	184	244	263	507	79	207	20	5	235	45	-3	+0	—	—	+1	-0.2
2023	21	ROK	ACL Giants Orange	—	29	25	10	2	0	0	2	7	2	1	0	400	483	480	963	80	556	24	7	437	182	+3	+0	—	—	+1	0.4
2024	22	A+	Eugene Emeralds	—	72	63	13	3	0	1	5	15	3	0	0	206	296	302	597	95	250	21	7	275	72	-2	+0	—	—	+2	-0.1
2024	22	A	San Jose Giants	—	157	122	30	9	1	2	27	30	7	0	0	246	410	385	796	139	308	19	17	367	134	+6	+0	—	—	+3	1.0
2024	22	ROK	ACL Giants	—	44	36	13	5	0	0	6	10	2	2	0	361	477	500	977	139	500	23	14	439	183	+4	+0	—	—	+1	0.6
2025	23	A+	Eugene Emeralds	—	282	238	60	13	2	9	34	72	5	4	1	252	357	437	794	185	315	26	12	350	123	+8	+0	—	—	+6	1.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	21	A MLE	San Jose Giants	—	41	39	6	0	0	1	1	11	1	1	0	154	195	231	426	77	180	27	2	185	11	-4	+0	—	—	+1	-0.3
2023	21	ROK MLE	ACL Giants Orange	—	29	26	7	1	0	0	1	10	2	1	0	269	345	308	653	38	435	34	3	299	88	-0	+0	—	—	+1	0.0
2024	22	A+ MLE	Eugene Emeralds	—	72	65	10	2	0	1	3	22	3	0	0	154	225	231	456	77	217	31	4	208	27	-6	+0	—	—	+2	-0.5
2024	22	A MLE	San Jose Giants	—	157	129	26	7	1	2	20	42	7	0	0	202	340	318	658	116	270	27	13	292	84	-3	+0	—	—	+3	0.0
2024	22	ROK MLE	ACL Giants	—	44	38	10	4	0	0	4	14	2	2	0	263	364	368	732	105	401	32	9	306	93	-0	+0	—	—	+1	0.1
2025	23	A+ MLE	Eugene Emeralds	—	282	250	48	9	2	7	22	94	5	4	1	192	271	328	599	136	252	33	8	262	63	-12	+0	—	—	+6	-0.6
2023	21	A MLE	2 teams	—	70	64	13	1	0	1	3	21	3	2	0	203	271	266	537	62	286	30	4	232	43	—	—	—	—	—	—
2023	21	A RAW	2 teams	—	70	63	17	2	0	1	4	15	3	2	0	270	343	349	692	79	340	21	6	319	43	—	—	—	—	—	—
2024	22	A MLE	3 teams	—	273	233	47	13	1	3	26	78	12	2	0	202	314	305	618	103	286	29	10	272	70	—	—	—	—	—	—
2024	22	A RAW	3 teams	—	273	221	56	17	1	3	38	55	12	2	0	253	391	380	771	127	321	20	14	354	70	—	—	—	—	—	—
2025	23	A+ MLE	Eugene Emeralds	—	282	250	48	9	2	7	22	94	5	4	1	192	271	328	599	136	266	33	8	262	63	—	—	—	—	—	—
2025	23	A+ RAW	Eugene Emeralds	—	282	238	60	13	2	9	34	72	5	4	1	252	357	437	794	185	315	26	12	350	63	—	—	—	—	—	—
2023	21	A MLE	2 teams	—	70	64	13	1	0	1	3	21	3	2	0	203	271	266	537	62	286	30	4	232	43	—	—	—	—	—	—
2024	22	A MLE	3 teams	—	273	233	47	13	1	3	26	78	12	2	0	202	314	305	618	103	277	29	10	272	70	—	—	—	—	—	—
2025	23	A+ MLE	Eugene Emeralds	—	282	253	48	9	2	7	22	94	5	4	1	190	271	324	595	134	252	33	8	262	63	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	21	A MLE	2 teams	—	70	64	13	1	0	1	3	21	3	2	0	203	271	266	537	62	286	30	4	232	43	—	—	—	—	—	—
2024	22	A MLE	3 teams	—	273	233	47	13	1	3	26	78	12	2	0	202	314	305	618	103	277	29	10	272	70	—	—	—	—	—	—
2025	23	A+ MLE	Eugene Emeralds	—	282	253	48	9	2	7	22	94	5	4	1	190	271	324	595	134	252	33	8	262	63	—	—	—	—	—	—
YTD	24	AA MLE	SF	—	328	300	72	15	1	4	19	88	5	8	3	240	296	337	633	97	321	27	6	275	72	-11	+0	+0	+6	+7	0.3
▸ 2026 season
YTD	24	A+ RAW	SF	—	31	27	7	2	0	2	3	7	1	0	1	259	355	556	910	296	278	23	10	396	72	—	—	—	—	—	—
YTD	24	AA RAW	SF	—	297	263	71	15	1	3	26	64	4	8	2	270	345	369	714	99	340	22	9	321	72	—	—	—	—	—	—
ROS	24	AA MLE	SF	2%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		297	22	11	279	75	-0	+0	+0	+0	+0	0.0
TOT	24	AA MLE	SF	—	337	308	73	15	1	4	20	90	5	8	3	237	294	331	625	94	317	27	6	275	72	-11	+0	+0	+6	+7	0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	SF	39%	330	298	68	14	1	7	24	88	5	5	2	228	297	352	649	124	295	27	7	287	81	-8	+0	+0	+6	+7	0.6
2028	26	MLB MLE	SF	56%	379	342	79	16	1	9	28	100	6	6	2	231	301	363	663	132	295	26	7	294	85	-7	+0	+0	+7	+8	0.9
2029	27	MLB MLE	SF	62%	398	359	82	16	2	9	30	105	6	6	2	228	299	359	658	131	294	26	8	296	86	-6	+0	+0	+7	+9	1.0
2030	28	MLB MLE	SF	65%	408	368	84	17	2	9	31	108	6	6	2	228	299	359	657	130	294	26	8	296	86	-7	+0	-1	+7	+9	0.9
2031	29	MLB MLE	SF	64%	407	367	82	16	1	9	31	108	6	6	2	223	295	346	641	123	293	27	8	294	85	-7	+0	-1	+7	+9	0.8
2032	30	MLB MLE	SF	64%	404	364	81	16	1	9	31	108	6	6	2	223	294	346	640	124	292	27	8	291	83	-8	+0	-2	+7	+9	0.6
2033	31	MLB MLE	SF	64%	380	343	76	15	1	8	29	103	5	5	2	222	292	341	633	120	289	27	8	287	80	-9	+0	-3	+7	+8	0.4
2034	32	MLB MLE	SF	64%	352	317	68	13	1	7	27	97	5	4	1	215	287	328	615	114	286	28	8	281	76	-10	+0	-4	+6	+8	0.1
2035	33	MLB MLE	SF	64%	315	284	60	11	1	6	24	88	4	4	1	211	282	320	602	109	281	28	8	274	72	-11	+0	-4	+6	+7	-0.2
2027	25	MLB CTX	SF	39%	128	116	26	5	1	2	9	34	2	2	1	224	291	336	628	112	289	27	7	270	81	-3	+0	+0	+2	+3	0.2
2028	26	MLB CTX	SF	56%	211	191	42	8	1	4	15	56	3	3	1	220	287	335	622	115	289	27	7	277	85	-4	+0	+0	+4	+5	0.5
2029	27	MLB CTX	SF	62%	245	221	50	10	1	5	18	64	4	4	1	226	296	348	645	122	288	26	7	278	86	-4	+0	+0	+4	+5	0.6
2030	28	MLB CTX	SF	65%	264	238	53	10	1	6	20	70	4	4	1	223	294	349	643	126	288	27	8	278	86	-4	+0	-0	+5	+6	0.6
2031	29	MLB CTX	SF	64%	262	236	53	10	1	6	20	70	4	4	1	225	296	352	648	127	287	27	8	276	85	-5	+0	-1	+5	+6	0.5
2032	30	MLB CTX	SF	64%	260	234	51	10	1	5	20	70	4	4	1	218	291	333	624	115	286	27	8	274	83	-5	+0	-1	+5	+6	0.4
2033	31	MLB CTX	SF	64%	245	221	48	9	1	5	19	66	3	3	1	217	288	335	623	118	283	27	8	270	80	-6	+0	-2	+4	+5	0.2
2034	32	MLB CTX	SF	64%	226	204	43	8	1	4	17	62	3	3	1	211	281	319	600	108	280	27	8	265	76	-6	+0	-2	+4	+5	0.1
2035	33	MLB CTX	SF	64%	203	183	39	7	1	4	15	57	3	2	1	213	284	328	611	115	276	28	7	258	72	-7	+0	-3	+4	+4	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2044	1844	405	77	9	41	153	549	30	29	9	220	290	338	628	118	288	27	7	272	79	-44	+2	-9	+36	+44	3.0
/ 162G	—	A+C		—	650	586	128	24	3	13	49	175	10	9	3	218	290	336	627	118	287	27	8	272	79	-14	+1	-3	+12	+14	1.0
Career	—	MLE		—	4007	3597	789	157	14	84	307	1100	69	56	17	219	293	341	634	121	289	27	8	285	79	-73	+3	-15	+60	+73	5.0
/ 162G	—	MLE		—	650	583	128	25	2	14	50	178	11	9	3	220	293	341	634	122	289	27	8	285	79	-14	+1	-3	+12	+14	1.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#2Zack Cozartlast yr '19 career totals — 8 seasons, 3,350 PA	5.0	3,350	85	21	246	300	398	+33	+38	14.2	14.8
/162	664	17	4	+6.6	+7.6	2.8	pk7: 15
#3Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#4Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#5Adeiny Hechavarríalast yr '20 career totals — 9 seasons, 3,288 PA	5.0	3,288	37	35	253	291	351	+32	+46	8.6	8.8
/162	664	7	7	+6.5	+9.3	1.7	pk7: 9
#6Ronny 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.1	2,049	45	29	225	292	350	+37	+20	4.9	4.7
/162	664	14	9	+11.9	+6.5	1.6	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
Jack Payton (OGILVIE)	24	40	50	45	50	220/286/325	105	297	4	5	28%	7%	75	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Andrew Navigato 2022 · AA	24	41→40	44→55	46→50	44	203/280/318	115	282	11	13	30%	8%	71	-0.8	217/276/370	153	271	17	14	26%	6%	81	-0.1	214/273/383	169	262	19	17	26%	6%	81	-0.1
✕Jake Rogers 2018 · A	23	41→40	44→55	47→45	42	204/268/326	123	280	11	10	30%	7%	68	-1.0	194/266/335	141	268	16	7	32%	8%	70	-0.9	216/279/422	206	274	28	2	32%	7%	93	+0.4
✕Dusty Brown 2006 · A	24	43	45	44→30	45	215/278/337	122	282	13	5	28%	8%	74	-0.5	215/270/328	113	283	11	3	27%	7%	69	-0.9	226/289/329	103	305	10	0	28%	7%	73	-0.3
✕Jeferson Morales 2023 · A	24	38→48	46→45	49→50	43	193/273/321	128	259	13	9	30%	7%	70	-0.9	215/289/341	126	276	12	9	25%	7%	79	-0.2	221/295/347	125	275	11	8	22%	7%	80	-0.1
✕John Hester 2008 · A	24	42	46→55	47→50	40	214/264/344	130	283	14	7	29%	6%	70	-0.8	238/279/386	148	310	14	9	27%	5%	85	+0.2	249/292/412	163	320	14	10	26%	5%	94	+0.5
✕Jaxx Groshans 2022 · A	24	46	47→50	47→30	46	229/293/363	134	302	15	4	28%	8%	85	+0.2	199/268/321	122	290	12	5	33%	8%	67	-1.1	125/209/240	115	181	12	0	37%	9%	24	-1.4
✕Andre Lipcius 2022 · AA	24	43→49	44→45	48→45	46	214/273/331	117	273	11	7	25%	8%	70	-0.8	230/300/357	127	286	13	8	23%	9%	86	+0.3	229/301/358	129	284	15	7	24%	9%	85	+0.2
✕Brian O'Keefe 2017 · A	24	44→43	46→55	45→40	49	218/294/352	134	277	13	3	26%	9%	84	+0.1	213/279/348	135	272	15	4	26%	8%	77	-0.3	209/277/353	144	269	18	2	29%	8%	75	-0.3
✕Luis Santana 2023 · A	24	45	45	48→50	43	224/290/348	124	291	13	11	27%	6%	81	-0.1	210/266/326	116	267	13	7	26%	5%	68	-1.0	191/245/302	111	237	14	5	25%	5%	51	-1.2
✕Miguel Amaya 2022 · AA	23	43→41	43→50	50→40	50	212/304/325	114	273	10	7	25%	9%	82	-0.0	224/309/361	137	297	15	5	28%	8%	92	+0.7	229/300/373	144	272	16	1	22%	7%	90	+0.2
✕Andrew Susac 2014 · AA	24	41→38	47→50	46→30	46	208/283/341	133	277	15	3	30%	9%	77	-0.3	220/290/361	141	291	16	3	28%	8%	84	+0.2	213/282/352	140	278	16	0	28%	8%	78	-0.1
✕Pedro Pagés 2022 · A	23	43→45	43→50	42→40	42	211/278/315	104	301	11	4	32%	7%	69	-0.9	213/277/334	121	292	13	4	30%	7%	73	-0.6	227/286/364	137	285	17	2	26%	7%	81	-0.0
✕Quincy McAfee 2022 · AA	24	42	43→45	48→45	50	206/299/320	114	269	10	10	25%	9%	79	-0.2	194/278/313	119	253	12	8	27%	8%	70	-0.9	180/264/299	119	228	13	8	27%	7%	59	-1.0
✕Zack Short 2019 · AA	24	39	47→50	47→45	50	199/289/337	139	266	14	9	29%	10%	79	-0.2	195/287/330	135	276	14	7	32%	10%	77	-0.3	177/277/301	125	240	14	9	31%	11%	65	-0.9
✕Renae Martinez 2018 · A	24	45→32	44→45	40	44	225/279/335	110	276	12	5	23%	6%	74	-0.6	214/274/321	107	285	10	3	27%	6%	69	-0.9	194/260/302	108	265	11	2	30%	7%	57	-1.0
✕Alex Isola 2021 · A	23	46→45	45→50	49→40	44	227/279/349	122	287	12	8	25%	6%	76	-0.4	217/284/360	143	275	18	4	27%	8%	82	-0.0	214/284/354	140	266	19	2	26%	8%	78	-0.2
✕Clay Harris 2007 · A	24	42→45	44→45	43→30	47	209/283/327	118	270	11	2	26%	8%	74	-0.5	231/305/363	132	276	14	2	21%	8%	90	+0.6	238/315/374	136	273	16	0	18%	9%	95	+0.6
✕Tim Tawa 2023 · AA	24	42→44	45→55	49→50	46	211/275/328	117	264	14	12	25%	8%	70	-0.8	213/275/347	134	274	15	11	27%	7%	76	-0.4	224/287/394	170	271	21	14	25%	7%	89	+0.4
✕Adam Rosales 2007 · A	24	43→48	46→55	46→45	43	218/275/347	129	276	13	7	26%	6%	75	-0.5	232/295/377	145	286	12	8	22%	6%	89	+0.5	235/302/384	149	284	12	8	21%	6%	92	+0.6
✕Jakson Reetz 2021 · A	25	42→33	46→55	44→45	42	207/286/332	125	292	14	5	32%	7%	77	-0.3	194/272/347	153	266	18	5	33%	6%	76	-0.4	193/274/380	187	243	23	4	31%	7%	81	-0.0

Career Stats + Projections

Career Comps

Career Path Comps