Jayson Bass — OGILVIE

Jayson BassRF Fort Myers Mighty Mussels

Age 20 S/R 5'11" / 165 lbs A Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION404 act + 10 ros · stats below = ROS only

showingROS

wRC+†54

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

PA10

HR0

K%40

BB%10

BABIP264

ISO101

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 30 / POW 48

Toolsscout grade

CONTACT30

scouting grade only

POWER48

scouting grade only

EYE50

scouting grade only

SPEED60

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	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Arb-1	$0.2M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-3M	+$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)
2023	17	ROK	DSL Twins	—	170	143	44	5	1	1	22	24	3	12	7	308	411	378	788	70	358	14	13	360	130	+6	-0	—	—	+4	0.9
2024	18	ROK	FCL Twins	—	174	156	43	7	2	1	17	36	0	8	5	276	347	365	712	90	350	21	10	322	104	+1	-0	—	—	+4	0.4
2024	18	INTL	Caneros de los Mochis	—	22	21	3	0	0	0	1	7	0	0	1	143	182	143	325		214	32	5	155	-9	-3	-0	—	—	+0	-0.3
2025	19	A	Fort Myers Mighty Mussels	—	24	24	3	0	0	0	0	9	0	1	0	125	125	125	250		200	38	0	113	-37	-4	+0	—	—	+1	-0.3
2025	19	ROK	FCL Twins	—	62	51	16	4	1	1	9	15	1	6	1	314	426	490	916	176	417	24	15	402	158	+4	+1	—	—	+1	0.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Twins	—	170	151	36	4	1	1	14	35	3	12	7	238	315	298	613	60	284	21	8	266	66	-7	-0	—	—	+4	-0.4
2024	18	ROK MLE	FCL Twins	—	174	163	31	5	1	1	10	53	0	8	5	190	237	252	489	61	271	30	6	218	34	-14	-0	—	—	+4	-1.1
2025	19	A MLE	Fort Myers Mighty Mussels	—	24	24	2	0	0	0	0	13	0	1	0	83	83	83	167		179	54	0	73	-64	-5	+0	—	—	+1	-0.4
2025	19	ROK MLE	FCL Twins	—	62	54	13	3	1	1	6	22	1	6	1	241	328	389	717	148	321	35	10	279	75	-2	+1	—	—	+1	0.0
2023	17	ROK MLE	DSL Twins	—	170	151	36	4	1	1	14	35	3	12	7	238	315	298	613	60	299	21	8	266	66	—	—	—	—	—	—
2023	17	ROK RAW	DSL Twins	—	170	143	44	5	1	1	22	24	3	12	7	308	411	378	788	70	358	14	13	360	66	—	—	—	—	—	—
2024	18	ROK MLE	2 teams	—	196	184	35	5	2	1	11	60	0	8	6	190	236	255	491	65	274	31	6	218	34	—	—	—	—	—	—
2024	18	ROK RAW	2 teams	—	196	177	46	7	2	1	18	43	0	8	6	260	328	339	667	79	336	22	9	303	34	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	86	78	15	3	1	1	6	35	1	7	1	192	259	295	554	103	326	41	7	222	36	—	—	—	—	—	—
2025	19	ROK RAW	2 teams	—	86	75	19	4	1	1	9	24	1	7	1	253	341	373	715	120	353	28	10	321	36	—	—	—	—	—	—
2023	17	ROK MLE	DSL Twins	—	170	151	36	4	1	1	14	35	3	12	7	238	315	298	613	60	284	21	8	266	66	—	—	—	—	—	—
2024	18	ROK MLE	2 teams	—	196	183	35	5	2	1	11	60	0	8	6	191	236	257	493	66	271	31	6	218	34	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	86	79	15	3	1	1	6	35	1	7	1	190	259	291	550	101	281	41	7	222	36	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL Twins	—	170	151	36	4	1	1	14	35	3	12	7	238	315	298	613	60	284	21	8	266	66	—	—	—	—	—	—
2024	18	ROK MLE	2 teams	—	196	183	35	5	2	1	11	60	0	8	6	191	236	257	493	66	271	31	6	218	34	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	86	79	15	3	1	1	6	35	1	7	1	190	259	291	550	101	281	41	7	222	36	—	—	—	—	—	—
YTD	20	A MLE	MIN	—	404	364	65	11	1	12	28	149	7	24	6	179	251	313	564	135	255	37	7	253	57	-21	+2	+0	-4	+9	-1.4
▸ 2026 season
YTD	20	A RAW	MIN	—	322	279	68	13	2	13	33	78	5	21	5	244	334	444	779	201	285	24	10	341	57	—	—	—	—	—	—
YTD	20	A+ RAW	MIN	—	82	76	14	0	0	3	4	28	2	3	1	184	244	303	547	118	244	34	5	249	57	—	—	—	—	—	—
ROS	20	A MLE	MIN	0%	10	9	1	0	0	0	1	4	0	0	0	111	200	111	311		264	40	10	248	54	-1	+0	+0	-0	+0	-0.0
TOT	20	A MLE	MIN	—	414	373	66	11	1	12	29	153	7	24	6	177	249	308	558	131	254	37	7	253	57	-21	+2	+0	-4	+9	-1.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	MIN	34%	364	330	64	11	2	10	26	122	5	11	3	194	263	330	593	136	270	34	7	265	65	-15	+1	+0	-4	+8	-1.0
2028	22	MLB MLE	MIN	48%	451	408	82	15	2	13	34	146	6	14	4	201	272	343	615	142	272	32	8	274	72	-15	+1	+0	-5	+10	-0.9
2029	23	MLB MLE	MIN	54%	497	450	92	16	2	15	38	157	6	15	4	204	275	349	624	144	274	32	8	280	76	-14	+1	+0	-5	+11	-0.8
2030	24	MLB MLE	MIN	55%	525	473	97	17	2	16	40	163	7	16	5	205	277	351	628	146	275	31	8	284	78	-14	+1	+0	-6	+11	-0.7
2031	25	MLB MLE	MIN	56%	537	483	102	18	3	17	42	166	7	17	5	211	284	366	650	155	275	31	8	285	79	-13	+1	+0	-6	+12	-0.6
2032	26	MLB MLE	MIN	56%	542	488	101	18	2	17	42	168	7	17	5	207	279	357	636	150	275	31	8	286	80	-13	+1	+0	-6	+12	-0.6
2033	27	MLB MLE	MIN	55%	540	485	101	18	2	17	43	168	7	17	5	208	282	359	641	151	275	31	8	286	80	-13	+1	+0	-6	+12	-0.6
2034	28	MLB MLE	MIN	55%	534	479	99	18	2	16	43	166	7	16	4	207	282	353	634	146	274	31	8	285	79	-13	+2	-1	-6	+12	-0.7
2027	21	MLB CTX	MIN	34%	125	113	22	4	1	3	9	42	2	4	1	195	266	327	594	133	270	34	7	255	65	-5	+0	+0	-1	+3	-0.3
2028	22	MLB CTX	MIN	48%	219	198	39	7	1	6	16	71	3	7	2	197	267	333	601	136	273	32	7	265	72	-7	+1	+0	-2	+5	-0.5
2029	23	MLB CTX	MIN	54%	270	245	50	9	1	8	20	85	3	8	2	204	272	347	619	143	274	31	7	271	76	-8	+1	+0	-3	+6	-0.4
2030	24	MLB CTX	MIN	55%	291	263	55	10	1	9	22	90	4	9	3	209	280	357	638	148	276	31	8	275	78	-8	+1	+0	-3	+6	-0.4
2031	25	MLB CTX	MIN	56%	301	271	56	10	1	9	23	93	4	9	3	207	279	351	629	144	276	31	8	276	79	-7	+1	+0	-3	+7	-0.4
2032	26	MLB CTX	MIN	56%	305	274	57	10	1	10	24	94	4	9	3	208	281	361	643	153	276	31	8	277	80	-7	+1	+0	-3	+7	-0.3
2033	27	MLB CTX	MIN	55%	299	269	55	10	1	9	24	93	4	9	3	204	279	349	629	145	275	31	8	277	80	-7	+1	+0	-3	+6	-0.3
2034	28	MLB CTX	MIN	55%	293	264	54	10	1	9	23	91	4	9	2	205	278	352	631	148	275	31	8	276	79	-7	+1	-0	-3	+6	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2103	1897	388	70	8	63	161	659	28	64	19	205	277	349	626	145	274	31	8	273	74	-57	+5	-0	-23	+46	-3.0
/ 162G	—	A+C		—	650	586	119	22	2	19	50	204	9	20	6	203	276	345	621	142	273	31	8	273	74	-18	+2	-0	-7	+14	-0.9
Career	—	MLE		—	4452	4018	825	143	21	124	340	1390	56	150	49	205	277	344	621	139	277	31	8	277	74	-111	+11	-1	-43	+87	-5.9
/ 162G	—	MLE		—	650	587	120	21	3	18	50	203	8	22	7	204	276	342	619	138	276	31	8	277	74	-18	+2	-0	-7	+14	-1.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#2Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#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
#4Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.4	2,271	66	69	205	274	349	-14	+0	-1.0	-0.4
/162	664	19	20	-4.2	+0.0	-0.3	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
Jayson Bass (OGILVIE)	20	25→30	43→48	55→60	50	180/248/294	114	264	4	7	35%	7%	54	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Allan Castro 2023 · A	20	38→44	40→45	54→50	40	185/249/285	100	275	6	9	34%	7%	51	-2.2	203/274/314	111	281	9	13	29%	8%	68	-1.0	202/276/313	110	274	9	14	28%	9%	65	-1.0
✕Johan Mieses 2015 · A	20	43→33	42→55	60→50	42	208/261/317	109	274	8	22	26%	6%	62	-1.4	194/241/346	152	272	18	8	35%	5%	63	-1.4	191/265/355	164	235	23	7	30%	7%	72	-0.4
✕Carlos Jimenez 2022 · A	19	38→41	42→50	53→55	44	186/268/288	102	275	10	11	34%	9%	60	-1.6	201/285/320	119	319	11	16	37%	10%	73	-0.6	220/298/374	155	300	18	18	31%	9%	87	+0.3
✕Jonatan Clase 2022 · A	20	44→46	40→50	59→65	45	210/283/306	96	307	7	26	32%	8%	69	-0.9	205/280/349	144	302	15	39	34%	9%	78	-0.3	202/277/349	146	289	15	47	33%	8%	74	-0.5
✕George Feliz 2023 · A	20	36	40→50	54→45	36	177/235/269	91	291	8	13	40%	6%	42	-2.9	176/238/276	100	311	10	11	44%	6%	45	-2.7	164/227/275	111	272	14	9	43%	6%	39	-1.1
✕Brainer Bonaci 2022 · A	20	40→44	39→45	53→50	43	195/254/284	89	269	5	13	28%	7%	53	-2.1	216/286/322	106	302	9	13	29%	9%	74	-0.6	216/290/325	109	297	11	14	29%	9%	73	-0.4
✕Ian Lewis Jr. 2023 · A	20	46→40	40→45	57→60	43	221/278/318	97	302	7	17	28%	7%	69	-0.9	212/274/310	98	290	7	22	27%	7%	65	-1.2	203/265/310	108	257	10	33	24%	7%	60	-0.9
✕Dalton Pompey 2013 · A	20	40→50	40→45	55	44	197/265/289	92	278	8	16	30%	8%	58	-1.7	238/299/342	104	319	7	24	25%	8%	82	+0.0	258/316/357	98	327	7	29	22%	7%	89	+0.4
✕Troy Stokes Jr. 2016 · A	20	42→38	38→50	54→55	43	198/270/278	80	278	6	20	29%	7%	58	-1.7	205/275/321	116	272	10	18	27%	7%	70	-0.9	198/272/329	132	263	13	19	29%	7%	68	-0.8
✕Luis Alexander Basabe 2017 · A	20	43	44→45	56→50	40	212/263/340	128	300	10	15	32%	6%	68	-1.0	198/257/303	105	303	9	14	35%	7%	58	-1.7	196/266/304	108	307	10	14	37%	8%	59	-0.9
✕David Calabrese 2023 · A	20	39	41→45	56→50	41	189/251/288	99	284	8	15	35%	7%	53	-2.1	182/253/293	111	267	12	13	34%	8%	55	-1.9	182/240/283	101	235	12	16	28%	7%	44	-1.3
✕C.J. Beatty 2010 · A	21	40	42→45	52→40	41	198/253/297	98	278	9	9	31%	7%	55	-2.0	209/270/324	115	297	9	5	31%	7%	68	-1.0	202/267/332	130	282	11	2	30%	8%	65	-0.7
✕Frankeny Fernandez 2017 · A	20	36	38→40	53→60	42	174/248/255	81	275	5	19	36%	8%	45	-2.7	193/258/268	75	281	5	10	31%	7%	51	-2.3	172/238/215	43	239	3	6	27%	7%	30	-1.1
✕Angel Martínez 2022 · A	20	42→47	41→50	50	44	203/259/304	102	267	7	10	26%	7%	59	-1.7	221/283/344	123	281	11	10	24%	7%	77	-0.3	231/280/377	146	276	15	12	22%	5%	83	+0.1
✕Brenny Escanio 2023 · A	20	37→36	41→40	52→55	47	181/270/284	103	266	8	16	33%	10%	60	-1.6	181/257/248	67	296	3	15	36%	9%	46	-2.6	169/248/225	55	281	3	17	37%	9%	35	-1.8
✕Narciso Crook 2015 · A	20	41→43	42→50	55→50	35	200/245/302	103	313	9	14	38%	5%	53	-2.1	189/227/291	102	289	9	10	36%	4%	43	-2.8	206/268/351	145	302	15	14	35%	6%	70	-0.6
✕Iverson Leonardo 2023 · A	21	37	44→50	49→50	40	187/257/301	114	274	12	9	35%	7%	58	-1.7	198/280/293	95	349	7	8	41%	9%	65	-1.2	152/277/229	77	359	3	4	50%	12%	49	-0.5
✕Sean Coyle 2013 · A	21	38→36	45→50	54→50	38	193/255/316	124	276	12	13	34%	6%	61	-1.5	204/262/352	148	296	18	14	36%	6%	72	-0.7	194/255/352	157	279	21	15	37%	7%	68	-0.5
✕Robel García 2012 · A	19	37	43→50	53→40	43	183/255/301	118	276	9	9	35%	8%	57	-1.8	185/251/274	89	282	5	5	34%	8%	49	-2.4	189/259/371	183	269	25	2	39%	8%	74	-0.3
✕Cole Roederer 2021 · A	21	38→32	43→45	51→50	42	190/258/298	108	281	10	12	34%	8%	57	-1.8	205/269/314	109	303	11	12	34%	7%	65	-1.2	180/254/288	108	265	12	11	34%	8%	53	-1.2

Career Stats + Projections

Career Comps

Career Path Comps