Kai Murphy — OGILVIE

Kai MurphyOF San Antonio Missions

Age 25 L/L 5'8" / 173 lbs AA HR +5% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION183 act + 27 ros · stats below = ROS only

showingROS

wRC+†51

AVG/OBP/SLG—

PA1

HR0

K%26

BB%7

BABIP259

ISO40

MLB%2%

Value2026 · WAR

2026 MLB RUNS · solid = so far · light = projected ROS (park-applied)

trajectory · projected WAR by year

Tools · ContractCON 40 / POW 25

Toolsscout grade

CONTACT40

scouting grade only

POWER25

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	—	—	—
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
Totals		$0.0M		$-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. 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)
2022	21	A	Lake Elsinore Storm	—	33	30	6	2	0	0	3	4	0	3	0	200	273	267	539	67	231	12	9	251	56	-2	+1	—	—	+1	-0.0
2022	21	ROK	ACL Padres	—	17	14	5	1	0	0	3	5	0	0	0	357	471	429	899	71	556	29	18	412	165	+1	+0	—	—	+0	0.2
2023	22	A+	Fort Wayne TinCaps	—	103	93	19	4	0	1	6	29	1	1	0	204	260	280	540	75	277	28	6	241	49	-6	+0	—	—	+2	-0.4
2023	22	A	Lake Elsinore Storm	—	268	237	68	15	1	6	24	67	4	11	5	287	362	435	797	148	376	25	9	353	125	+8	+0	—	—	+6	1.4
2024	23	A+	Fort Wayne TinCaps	—	482	408	96	24	3	6	61	107	6	10	7	235	343	353	696	118	303	22	13	316	100	-0	-1	—	—	+10	1.0
2025	24	AA	San Antonio Missions	—	379	324	71	9	1	1	43	69	8	8	7	219	325	262	588	43	271	18	11	278	74	-12	-1	—	—	+8	-0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	21	A MLE	Lake Elsinore Storm	—	33	31	4	1	0	0	2	6	0	3	0	129	182	161	343	32	194	18	6	192	16	-3	+1	—	—	+1	-0.2
2022	21	ROK MLE	ACL Padres	—	17	15	4	1	0	0	2	7	0	0	0	267	353	333	686	67	456	41	12	273	71	-1	+0	—	—	+0	-0.0
2023	22	A+ MLE	Fort Wayne TinCaps	—	103	95	16	3	0	1	4	39	1	1	0	168	210	232	442	63	252	38	4	196	19	-10	+0	—	—	+2	-0.8
2023	22	A MLE	Lake Elsinore Storm	—	268	244	57	11	1	4	17	94	4	11	5	234	294	336	630	102	347	35	6	274	72	-9	+0	—	—	+6	-0.3
2024	23	A+ MLE	Fort Wayne TinCaps	—	482	428	83	20	2	5	41	147	6	10	7	194	274	285	559	91	272	30	9	249	55	-26	-1	—	—	+10	-1.7
2025	24	AA MLE	San Antonio Missions	—	379	338	74	9	1	1	29	80	8	8	7	219	296	260	556	41	271	21	8	251	56	-20	-1	—	—	+8	-1.3
2022	21	A MLE	2 teams	—	50	46	8	2	0	0	4	13	0	3	0	174	240	217	457	43	242	26	8	220	35	—	—	—	—	—	—
2022	21	A RAW	2 teams	—	50	44	11	3	0	0	6	9	0	3	0	250	340	318	658	68	314	18	12	306	35	—	—	—	—	—	—
2023	22	A MLE	2 teams	—	371	339	72	13	1	5	21	133	5	12	5	212	268	301	569	88	328	36	6	252	57	—	—	—	—	—	—
2023	22	A RAW	2 teams	—	371	330	87	19	1	7	30	96	5	12	5	264	334	391	725	127	348	26	8	322	57	—	—	—	—	—	—
2024	23	A+ MLE	Fort Wayne TinCaps	—	482	428	83	20	2	5	41	147	6	10	7	194	274	285	559	91	281	30	9	249	55	—	—	—	—	—	—
2024	23	A+ RAW	Fort Wayne TinCaps	—	482	408	96	24	3	6	61	107	6	10	7	235	343	353	696	118	303	22	13	316	55	—	—	—	—	—	—
2025	24	AA MLE	San Antonio Missions	—	379	338	74	9	1	1	29	80	8	8	7	219	296	260	556	41	280	21	8	251	56	—	—	—	—	—	—
2025	24	AA RAW	San Antonio Missions	—	379	324	71	9	1	1	43	69	8	8	7	219	325	262	588	43	271	18	11	278	56	—	—	—	—	—	—
2022	21	A MLE	2 teams	—	50	46	8	2	0	0	4	13	0	3	0	174	240	217	457	43	283	26	8	220	35	—	—	—	—	—	—
2023	22	A MLE	2 teams	—	371	342	72	13	1	5	21	133	5	12	5	211	268	298	567	88	321	36	6	252	57	—	—	—	—	—	—
2024	23	A+ MLE	Fort Wayne TinCaps	—	482	432	83	20	2	5	41	147	6	10	7	192	274	282	556	90	272	30	9	249	55	—	—	—	—	—	—
2025	24	AA MLE	San Antonio Missions	—	379	339	74	9	1	1	29	80	8	8	7	218	296	260	556	41	271	21	8	251	56	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	22	A MLE	2 teams	—	371	342	72	13	1	5	21	133	5	12	5	211	268	298	567	88	321	36	6	252	57	—	—	—	—	—	—
2024	23	A+ MLE	Fort Wayne TinCaps	—	482	432	83	20	2	5	41	147	6	10	7	192	274	282	556	90	272	30	9	249	55	—	—	—	—	—	—
2025	24	AA MLE	San Antonio Missions	—	379	339	74	9	1	1	29	80	8	8	7	218	296	260	556	41	271	21	8	251	56	—	—	—	—	—	—
YTD	25	AA MLE	SD	—	183	169	32	4	0	2	10	45	3	9	3	189	247	249	496	59	246	25	5	221	36	-14	+1	+0	-1	+4	-1.1
▸ 2026 season
YTD	25	AA RAW	SD	—	183	165	34	4	0	3	14	37	3	9	3	206	280	285	565	79	248	20	8	261	36	—	—	—	—	—	—
ROS	25	AA MLE	SD	2%	27	25	5	1	0	0	2	7	0	1	0	200	259	240	499	40	262	26	7	244	51	-2	+0	+0	-0	+1	-0.1
▸ 2026 season — projected rest
ROS	25	MLB CTX	SD	2%	1	1	0	0	0	0	0	0	0	0	0						259	0	0	232	51	-0	+0	+0	-0	+0	-0.0
FULL	25	MLB A+C	SD	—	1	1	0	0	0	0	0	0	0	0	0							0	0	232	38	-0	+0	+0	-0	+0	-0.0
TOT	25	AA MLE	SD	—	210	194	37	5	0	2	12	52	3	10	3	191	249	247	496	57	250	25	6	224	38	-16	+1	+0	-1	+5	-1.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	26	MLB MLE	SD	31%	352	319	66	11	1	5	25	88	5	8	4	207	275	295	570	88	265	25	7	256	60	-17	+0	+0	-2	+8	-1.2
2028	27	MLB MLE	SD	42%	380	344	71	12	1	5	28	95	5	8	4	206	276	291	567	84	267	25	7	262	63	-17	+0	+0	-2	+8	-1.1
2029	28	MLB MLE	SD	48%	395	357	74	12	1	6	30	99	5	8	4	207	278	297	575	90	268	25	8	264	65	-17	+0	-1	-2	+9	-1.1
2027	26	MLB CTX	SD	31%	109	99	19	3	0	1	8	27	1	2	1	192	259	253	512	61	262	25	7	245	60	-5	+0	+0	-1	+2	-0.4
2028	27	MLB CTX	SD	42%	160	145	29	5	0	2	12	40	2	3	2	200	270	276	546	76	264	25	8	251	63	-7	-0	+0	-1	+3	-0.5
2029	28	MLB CTX	SD	48%	189	170	36	6	1	3	14	47	3	4	2	212	283	312	595	100	265	25	7	253	65	-8	+0	-0	-1	+4	-0.5
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	459	415	84	14	1	6	34	114	6	9	5	202	273	284	557	82	262	25	7	250	58	-20	-0	-0	-3	+10	-1.4
/ 162G	—	A+C		—	650	588	118	20	1	8	48	161	8	13	7	201	270	279	549	78	260	25	7	250	58	-29	-0	-0	-4	+14	-2.0
Career	—	MLE		—	2436	2196	453	80	7	27	180	662	34	58	31	206	277	286	563	80	280	27	7	255	58	-52	+0	-1	-7	+25	-3.5
/ 162G	—	MLE		—	650	586	120	21	2	7	48	177	9	15	8	205	275	283	559	78	278	27	7	255	58	-29	+0	-0	-4	+14	-2.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam 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
#2Dustin 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
#3Ryan 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
#4Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#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 1 projected seasons	0.7	464	7	10	208	275	296	-3	+0	-1.0	-0.5
/162	664	9	14	-4.0	+0.0	-1.5	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
Kai Murphy (OGILVIE)	25	40	25	45	50	196/264/260	64	262	3	9	25%	7%	51	-1.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Devyn Bolasky 2018 · AAA	25	46	37→30	47→45	45	219/266/301	82	268	4	7	20%	6%	60	-1.6	244/292/320	76	289	4	6	16%	6%	74	-0.6	289/335/337	48	327	0	2	11%	5%	89	+0.2
✕Junior Sosa 2016 · AA	25	47	39→30	49→55	45	225/275/314	88	282	6	10	22%	6%	66	-1.1	227/293/288	61	305	3	10	24%	8%	68	-1.0	229/300/256	27	311	0	9	24%	9%	60	-0.9
✕Cole Daily 2022 · AA	25	42	35→30	43→55	46	196/262/254	57	272	3	8	28%	8%	48	-2.5	201/270/271	70	312	4	16	34%	8%	55	-1.9	183/259/229	46	295	1	24	35%	9%	39	-1.5
✕Tim Arakawa 2017 · AAA	24	44→42	36→30	48→50	49	206/276/274	68	269	4	10	24%	9%	58	-1.7	214/279/293	79	300	7	12	28%	8%	63	-1.3	211/278/272	61	307	8	13	32%	8%	59	-0.8
✕Sean McCraw 2011 · AA	25	43	36→30	43→30	47	201/272/269	69	279	3	4	28%	8%	56	-1.9	203/267/298	95	280	8	6	28%	7%	61	-1.5	158/227/250	92	212	9	0	29%	8%	32	-1.0
✕Norberto Obeso 2019 · A	24	44→42	37→30	47→45	50	209/274/276	67	253	4	8	19%	8%	58	-1.7	209/270/286	77	278	4	8	24%	7%	58	-1.7	201/264/269	68	275	1	5	25%	8%	50	-1.2
✕Carlos Penuelas 2013 · AAA	25	46	40→30	45→50	42	224/268/316	91	289	8	8	25%	6%	64	-1.3	249/299/329	80	310	5	11	20%	6%	79	-0.2	270/317/327	57	333	3	12	19%	5%	82	+0.0
✕Ian Parmley 2016 · AA	26	44	35→30	51→50	46	206/266/259	54	276	3	13	25%	8%	51	-2.3	232/274/296	64	328	3	15	28%	5%	61	-1.5	244/280/304	59	347	2	17	29%	4%	62	-0.6
✕Bryant Flete 2018 · AA	25	44→46	39→40	43→50	41	212/256/295	84	275	6	6	25%	5%	55	-1.9	217/285/297	80	299	6	6	28%	7%	68	-1.0	210/296/273	63	301	5	4	29%	8%	64	-0.5
✕Andrew Moritz 2022 · A	25	48	34→30	47→50	41	227/266/276	49	294	3	13	23%	5%	54	-2.0	232/292/304	72	311	4	10	25%	7%	71	-0.8	235/302/303	68	314	3	9	24%	8%	72	-0.3
✕Luis Mendez 2018 · AA	25	43	37→30	47→50	44	205/264/276	71	274	5	12	26%	7%	54	-2.0	215/272/314	99	292	9	10	28%	7%	66	-1.1	207/262/290	83	275	8	7	27%	6%	54	-0.9
✕Evan Marzilli 2016 · AAA	25	45→47	39→40	49→50	44	211/276/301	90	301	5	13	30%	8%	65	-1.2	204/282/285	81	293	4	14	29%	9%	63	-1.3	193/277/268	75	280	4	14	29%	9%	56	-1.2
✕Andrew Ely 2018 · AA	25	45→44	38→30	38→40	44	214/272/289	75	282	5	5	25%	7%	60	-1.6	201/280/285	84	269	5	5	25%	9%	63	-1.3	147/256/210	63	202	2	0	25%	11%	37	-1.3
✕Jake Thomas 2017 · A	24	43	37→30	48→50	45	201/269/273	72	281	4	7	28%	8%	55	-1.9	213/302/287	74	322	3	9	31%	11%	72	-0.7	209/322/267	58	327	1	10	31%	14%	73	-0.4
✕Levi Hyams 2015 · A	25	44→47	38→40	45	44	210/269/296	86	287	4	7	27%	7%	61	-1.5	214/265/304	90	292	6	5	27%	6%	61	-1.5	218/267/317	99	292	8	4	27%	6%	61	-0.8
✕Peter Mooney 2016 · AA	25	45→51	36→40	47→45	51	209/286/272	64	262	3	6	20%	9%	62	-1.4	219/272/294	75	256	5	5	16%	6%	61	-1.5	204/269/293	89	246	8	7	20%	7%	57	-0.8
✕Carlos Sepulveda 2021 · A	24	45	34→30	49→45	47	211/274/263	53	280	2	12	24%	8%	55	-2.0	210/278/281	71	273	4	7	23%	8%	61	-1.5	191/263/253	62	248	4	3	23%	8%	46	-1.3
✕Ender Chavez 2006 · A	25	47→48	36→30	46→55	44	224/272/289	65	285	4	12	22%	6%	59	-1.6	234/306/294	60	297	3	15	20%	9%	74	-0.6	242/326/288	45	305	1	19	19%	10%	77	-0.2
✕Branden Cogswell 2017 · A	24	45→46	35→30	48→45	46	212/276/272	60	293	3	7	27%	8%	57	-1.8	227/283/292	65	303	2	8	24%	7%	64	-1.3	235/290/283	48	310	0	5	22%	7%	61	-0.9
✕Thomas Spitz 2017 · AA	25	46→47	38→40	45→50	48	221/284/297	76	275	5	11	21%	8%	66	-1.1	218/280/312	94	311	7	10	30%	7%	68	-1.0	212/276/308	96	315	7	9	33%	7%	64	-0.6

Career Stats + Projections

Career Comps

Career Path Comps