Kodey Shojinaga — OGILVIE

Kodey ShojinagaC Jersey Shore BlueClaws

Age 23 R/R 5'9" / 190 lbs A+ HR +14% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION374 act + 9 ros · stats below = ROS only

showingROS

wRC+†66

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

PA9

HR0

K%22

BB%11

BABIP282

ISO65

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$19M ctrl surplus

Tools · ContractCON 40 / POW 20

Toolsscout grade

CONTACT40

scouting grade only

POWER20

scouting grade only

EYE55

scouting grade only

SPEED40

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2031	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2032	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2033	Arb-1	$2M	+0.3	$0.7M	+$0.0M (cut)
2034	Arb-2	$2M	+0.2	$0.4M	+$0.0M (cut)
2035	Arb-3	$1.0M	—	—	—
Totals		$3M		$6M	+$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)
2024	21	A	Clearwater Threshers	—	58	42	6	0	0	0	15	4	1	0	2	143	379	143	522		158	7	26	287	80	-1	-1	—	—	+1	-0.1
2025	22	A+	Jersey Shore BlueClaws	—	58	46	11	2	0	0	10	8	2	0	0	239	397	283	679	43	289	14	17	330	110	+1	+0	—	—	+1	0.2
2025	22	A	Clearwater Threshers	—	283	240	55	11	1	1	39	46	2	1	1	229	340	296	636	67	278	16	14	299	88	-4	-0	—	—	+6	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	21	A MLE	Clearwater Threshers	—	58	45	6	0	0	0	12	6	1	0	2	133	328	133	461		142	10	21	235	45	-4	-1	—	—	+1	-0.3
2025	22	A+ MLE	Jersey Shore BlueClaws	—	58	50	11	2	0	0	6	11	2	0	0	220	328	260	588	40	266	19	10	261	63	-3	+0	—	—	+1	-0.1
2025	22	A MLE	Clearwater Threshers	—	283	250	48	10	1	1	30	61	2	1	1	192	284	252	536	60	250	22	11	248	54	-15	-0	—	—	+6	-1.0
2024	21	A MLE	Clearwater Threshers	—	58	45	6	0	0	0	12	6	1	0	2	133	328	133	461		154	10	21	235	45	—	—	—	—	—	—
2024	21	A RAW	Clearwater Threshers	—	58	42	6	0	0	0	15	4	1	0	2	143	379	143	522		158	7	26	287	45	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	341	300	59	12	1	1	36	72	4	1	1	197	291	253	545	57	254	21	11	250	55	—	—	—	—	—	—
2025	22	A RAW	2 teams	—	341	286	66	13	1	1	49	54	4	1	1	231	350	294	644	63	280	16	14	304	55	—	—	—	—	—	—
2024	21	A MLE	Clearwater Threshers	—	58	45	6	0	0	0	12	6	1	0	2	133	328	133	461		142	10	21	235	45	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	341	298	59	12	1	1	36	72	4	1	1	198	291	255	546	57	253	21	11	250	55	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	21	A MLE	Clearwater Threshers	—	58	45	6	0	0	0	12	6	1	0	2	133	328	133	461		142	10	21	235	45	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	341	298	59	12	1	1	36	72	4	1	1	198	291	255	546	57	253	21	11	250	55	—	—	—	—	—	—
YTD	23	A+ MLE	PHI	—	374	336	67	12	1	2	30	87	4	2	2	199	273	259	532	60	259	23	8	240	49	-23	-0	+0	+7	+8	-0.9
▸ 2026 season
YTD	23	A+ RAW	PHI	—	374	321	74	15	1	2	45	65	4	2	2	231	332	302	635	72	279	17	12	294	49	—	—	—	—	—	—
ROS	23	A+ MLE	PHI	0%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		280	22	11	265	66	-0	+0	+0	+0	+0	-0.0
TOT	23	A+ MLE	PHI	—	383	344	68	12	1	2	31	89	4	2	2	198	272	256	528	58	257	23	8	241	49	-23	-0	+0	+7	+8	-0.9
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	PHI	38%	406	362	80	15	1	4	37	90	4	2	1	221	300	301	601	80	283	22	9	278	75	-12	+0	+0	+7	+9	0.4
2028	25	MLB MLE	PHI	55%	445	398	91	17	2	6	40	98	4	2	2	229	305	327	632	98	284	22	9	287	80	-10	-0	+0	+8	+10	0.7
2029	26	MLB MLE	PHI	64%	467	416	95	18	2	7	43	103	5	2	2	228	308	332	640	103	285	22	9	292	83	-9	-0	+0	+8	+10	0.9
2030	27	MLB MLE	PHI	66%	475	423	97	18	2	8	44	105	5	2	2	229	309	338	647	109	285	22	9	292	84	-9	-0	+0	+8	+10	1.0
2031	28	MLB MLE	PHI	67%	475	423	97	18	2	8	44	106	5	2	2	229	309	338	647	109	284	22	9	291	83	-9	-0	-1	+8	+10	0.8
2032	29	MLB MLE	PHI	66%	469	418	94	18	1	7	44	105	4	2	2	225	305	323	628	98	283	22	9	290	82	-10	-0	-1	+8	+10	0.7
2033	30	MLB MLE	PHI	65%	460	410	91	17	1	7	43	104	4	2	1	222	302	320	621	98	282	23	9	287	80	-11	+0	-2	+8	+10	0.5
2034	31	MLB MLE	PHI	65%	434	386	85	16	1	6	41	100	4	1	1	220	302	313	615	93	280	23	9	283	77	-12	-0	-3	+8	+9	0.3
2035	32	MLB MLE	PHI	65%	404	359	77	14	1	5	38	95	4	1	1	214	297	301	598	86	276	24	9	277	74	-13	-0	-4	+7	+9	-0.0
2027	24	MLB CTX	PHI	38%	154	138	32	6	1	2	14	34	1	1	1	232	307	333	641	101	285	22	9	274	75	-5	-0	+0	+3	+3	0.1
2028	25	MLB CTX	PHI	55%	247	221	52	10	1	4	22	54	2	1	1	235	310	344	654	109	286	22	9	283	80	-6	-0	+0	+4	+5	0.4
2029	26	MLB CTX	PHI	64%	297	265	62	12	1	5	27	65	3	1	1	234	312	343	655	109	287	22	9	288	83	-6	-0	+0	+5	+6	0.6
2030	27	MLB CTX	PHI	66%	312	277	64	12	1	5	29	69	3	1	1	231	311	336	646	105	287	22	9	289	84	-6	-0	+0	+6	+7	0.6
2031	28	MLB CTX	PHI	67%	317	281	64	12	1	5	30	71	3	1	1	228	309	331	640	103	286	22	9	288	83	-6	-0	-0	+6	+7	0.6
2032	29	MLB CTX	PHI	66%	308	273	63	12	1	5	29	69	3	1	1	231	311	337	648	106	286	22	9	286	82	-7	-0	-1	+6	+7	0.5
2033	30	MLB CTX	PHI	65%	300	266	61	11	1	5	28	68	3	1	1	229	310	335	644	105	284	23	9	283	80	-7	-0	-1	+5	+6	0.3
2034	31	MLB CTX	PHI	65%	281	250	55	10	1	4	26	65	3	1	1	220	301	316	617	96	282	23	9	279	77	-8	-0	-2	+5	+6	0.2
2035	32	MLB CTX	PHI	65%	261	233	51	9	1	4	24	61	2	1	1	219	297	318	615	99	279	23	9	274	74	-8	-0	-2	+5	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2477	2204	504	94	9	39	229	556	23	9	9	229	308	333	640	104	287	22	9	284	78	-58	-2	-7	+44	+54	3.2
/ 162G	—	A+C		—	650	578	132	25	2	10	60	146	6	2	2	228	307	330	637	102	287	22	9	284	78	-15	-0	-2	+12	+14	0.8
Career	—	MLE		—	4443	3948	873	163	14	59	423	986	44	17	17	221	304	314	618	93	279	22	10	283	78	-96	-2	-10	+72	+88	5.2
/ 162G	—	MLE		—	650	578	128	24	2	9	62	144	6	2	2	221	303	317	620	95	278	22	10	283	78	-15	-0	-2	+12	+14	0.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#2Bobby 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
#3Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#4Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#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 6 projected seasons	3.7	2,479	36	10	227	303	326	+44	+24	5.2	5.0
/162	664	10	3	+11.9	+6.4	1.4	pk7: 5

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
Kodey Shojinaga (OGILVIE)	23	40	20	40	55	213/293/275	61	280	1	2	22%	9%	66	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Taylor Krick 2012 · A	24	46	36→30	40	48	214/300/271	57	291	4	5	26%	8%	68	-1.0	233/317/303	70	321	3	5	26%	8%	81	-0.1	244/334/306	62	340	1	3	25%	9%	85	+0.1
✕Kawika Emsley-Pai 2012 · A	23	48	36→30	43→40	54	221/310/294	74	292	3	6	23%	11%	76	-0.4	192/293/264	72	278	4	7	29%	12%	64	-1.3	155/274/213	59	229	4	5	30%	13%	45	-0.7
✕Jon Schemmel 2007 · A	24	52	36→30	42→45	53	240/320/310	70	299	3	6	19%	9%	83	+0.1	227/307/296	69	284	4	6	20%	8%	76	-0.4	223/310/277	54	276	3	4	19%	8%	71	-0.3
✕Brallan Perez 2019 · A	23	52	35→30	42→50	46	244/299/302	58	300	3	7	19%	6%	73	-0.6	220/278/279	59	284	3	8	22%	6%	60	-1.6	205/265/240	34	265	2	8	21%	6%	43	-1.6
✕Jonathan Diaz 2009 · AA	24	45→47	36→30	42→50	59	205/319/277	73	257	3	6	19%	12%	77	-0.3	207/296/271	64	258	3	6	19%	10%	66	-1.1	210/294/266	56	261	2	7	18%	9%	61	-1.0
✕Reed Gamache 2017 · A	23	48	37→40	43→30	49	222/293/297	75	308	3	4	27%	9%	70	-0.8	218/284/295	77	299	4	4	26%	8%	66	-1.1	210/278/275	65	278	3	0	24%	7%	58	-0.4
✕Angelo Amendolare 2016 · AAA	23	47	37→30	44→50	51	222/296/295	74	266	4	7	18%	8%	71	-0.8	229/301/299	70	308	3	9	25%	8%	74	-0.6	241/319/285	44	333	0	10	25%	8%	73	-0.2
✕Coltyn Simmons 2006 · A	22	48	37→40	41→30	49	226/290/306	80	275	3	4	18%	7%	71	-0.8	220/287/298	78	267	5	5	18%	7%	68	-1.0	211/283/266	56	249	4	0	16%	6%	58	-0.7
✕Richard Rodriguez 2016 · A	23	54	34→30	43→50	48	251/299/297	46	305	1	9	18%	6%	71	-0.8	211/252/271	60	281	3	8	25%	5%	48	-2.5	149/175/156	8	198	0	7	24%	3%	-11	-1.3
✕J.J. Franco 2015 · A	23	49	37→30	39→45	44	234/290/302	68	299	5	6	23%	6%	70	-0.9	208/265/268	60	281	3	5	25%	7%	53	-2.1	217/294/253	36	302	0	4	26%	10%	58	-0.6
✕Aaron McKeithan 2023 · A	23	45	40	45→40	44	215/292/306	91	293	8	4	28%	7%	73	-0.6	217/295/297	80	271	8	4	22%	7%	72	-0.7	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕Simon Vasquez 2009 · A	21	45	35→40	40→50	49	210/285/271	61	269	2	4	22%	8%	61	-1.5	227/286/308	81	283	4	7	20%	6%	70	-0.9	253/299/341	88	301	2	9	16%	5%	81	-0.0
✕Adam Weisenburger 2013 · AA	24	43	36→40	43→30	46	202/277/267	66	268	4	5	25%	8%	58	-1.7	217/296/304	87	281	6	4	23%	8%	74	-0.6	216/301/298	83	274	6	2	21%	8%	72	-0.3
✕Jeff Dragicevich 2006 · A	23	48→49	39→40	44→40	44	226/287/320	94	307	5	6	27%	7%	73	-0.6	229/300/334	105	317	9	5	28%	8%	82	-0.0	229/308/338	108	315	11	3	28%	9%	83	+0.0
✕Abel Nieves 2009 · A	23	52	38→40	44→45	49	240/305/324	84	322	4	6	25%	9%	80	-0.2	227/295/309	82	304	5	4	25%	9%	74	-0.6	221/295/299	78	285	7	2	23%	9%	68	-0.4
✕Rafael P Valera 2017 · A	22	48	36→30	44→55	46	220/289/297	77	311	2	6	28%	8%	68	-1.0	207/270/296	89	315	5	6	33%	7%	61	-1.5	167/232/236	70	266	3	2	36%	5%	32	-1.0
✕Ryan Jackson 2011 · A	23	49→53	37→40	42→45	48	231/292/306	75	297	4	7	23%	8%	71	-0.8	238/286/329	91	293	7	5	20%	6%	74	-0.6	240/287/326	85	294	7	4	20%	6%	72	-0.7
✕Stephen McGee 2014 · A	23	45	39→40	46→30	51	215/302/299	83	279	6	7	24%	9%	75	-0.5	196/276/264	68	279	4	3	28%	9%	57	-1.8	198/284/292	94	281	8	1	30%	10%	64	-0.5
✕Alan Ahmady 2012 · AA	24	47→43	36→45	43→40	54	214/314/286	72	296	3	4	26%	11%	77	-0.3	229/307/336	107	303	7	6	24%	9%	84	+0.2	246/318/378	132	316	8	4	23%	9%	95	+0.5
✕Roy Morales 2018 · A	23	51	37→30	49→45	50	237/302/304	67	277	4	8	16%	7%	75	-0.5	229/291/303	74	284	4	10	20%	7%	70	-0.8	271/334/327	56	322	3	8	16%	7%	89	+0.2

Career Stats + Projections

Career Comps

Career Path Comps