Angel Guzman — OGILVIE

Angel GuzmanOF San Jose Giants

Age 20 L/L 5'11" / 170 lbs A HR -15%H -3% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION213 act + 20 ros · stats below = ROS only

showingROS

wRC+†79

AVG/OBP/SLG.167 / .250 / .222

PA20

HR0

K%30

BB%10

BABIP272

ISO56

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$9M ctrl surplus

Tools · ContractCON 25 / POW 30

Toolsscout grade

CONTACT25

scouting grade only

POWER30

scouting grade only

EYE60

scouting grade only

SPEED40

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	+0.3	$0.8M	+$0.3M
2032	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2034	Arb-1	$2M	+0.3	$0.7M	+$0.0M (cut)
2035	Arb-2	$2M	+0.2	$0.4M	+$0.0M (cut)
2036	Arb-3	$2M	+0.1	$0.2M	+$0.0M (cut)
Totals		$3M		$4M	+$1M

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 Giants Black	—	171	140	36	11	2	4	27	32	4	6	1	257	392	450	842	193	308	19	16	378	142	+9	+1	—	—	+4	1.3
2024	18	ROK	DSL Giants Black	—	201	151	46	6	3	7	45	39	4	15	4	305	475	523	998	219	371	19	22	441	184	+20	+1	—	—	+4	2.6
2025	19	ROK	ACL Giants	—	167	136	30	5	4	2	29	44	2	3	1	221	365	360	726	140	311	26	17	335	113	+3	+0	—	—	+4	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Giants Black	—	171	151	26	7	1	3	16	45	4	6	1	172	269	291	560	119	227	26	9	253	57	-9	+1	—	—	+4	-0.4
2024	18	ROK MLE	DSL Giants Black	—	201	167	36	4	2	5	29	57	4	15	4	216	345	353	698	138	286	28	14	307	94	-1	+1	—	—	+4	0.4
2025	19	ROK MLE	ACL Giants	—	167	148	20	3	2	1	17	61	2	3	1	135	234	203	436	68	227	37	10	212	30	-14	+0	—	—	+4	-1.0
2023	17	ROK MLE	DSL Giants Black	—	171	151	26	7	1	3	16	45	4	6	1	172	269	291	560	119	223	26	9	253	57	—	—	—	—	—	—
2023	17	ROK RAW	DSL Giants Black	—	171	140	36	11	2	4	27	32	4	6	1	257	392	450	842	193	308	19	16	378	57	—	—	—	—	—	—
2024	18	ROK MLE	DSL Giants Black	—	201	167	36	4	2	5	29	57	4	15	4	216	345	353	698	138	295	28	14	307	94	—	—	—	—	—	—
2024	18	ROK RAW	DSL Giants Black	—	201	151	46	6	3	7	45	39	4	15	4	305	475	523	998	219	371	19	22	441	94	—	—	—	—	—	—
2025	19	ROK MLE	ACL Giants	—	167	148	20	3	2	1	17	61	2	3	1	135	234	203	436	68	221	37	10	212	30	—	—	—	—	—	—
2025	19	ROK RAW	ACL Giants	—	167	136	30	5	4	2	29	44	2	3	1	221	365	360	726	140	311	26	17	335	30	—	—	—	—	—	—
2023	17	ROK MLE	DSL Giants Black	—	171	149	26	7	1	3	16	45	4	6	1	174	269	295	564	121	227	26	9	253	57	—	—	—	—	—	—
2024	18	ROK MLE	DSL Giants Black	—	201	166	36	4	2	5	29	57	4	15	4	217	345	355	700	139	286	28	14	307	94	—	—	—	—	—	—
2025	19	ROK MLE	ACL Giants	—	167	146	20	3	2	1	17	61	2	3	1	137	234	205	439	68	227	37	10	212	30	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL Giants Black	—	171	149	26	7	1	3	16	45	4	6	1	174	269	295	564	121	227	26	9	253	57	—	—	—	—	—	—
2024	18	ROK MLE	DSL Giants Black	—	201	166	36	4	2	5	29	57	4	15	4	217	345	355	700	139	286	28	14	307	94	—	—	—	—	—	—
2025	19	ROK MLE	ACL Giants	—	167	146	20	3	2	1	17	61	2	3	1	137	234	205	439	68	227	37	10	212	30	—	—	—	—	—	—
YTD	20	A MLE	SF	—	213	184	40	6	1	5	23	67	4	1	0	217	318	342	660	125	312	31	11	295	86	-4	+0	+0	-1	+5	-0.0
▸ 2026 season
YTD	20	ROK RAW	SF	—	61	49	15	3	0	2	11	14	0	1	0	306	433	490	923	184	394	23	18	406	86	—	—	—	—	—	—
YTD	20	A RAW	SF	—	152	123	32	5	1	4	24	35	4	0	0	260	397	415	812	154	333	23	16	368	86	—	—	—	—	—	—
ROS	20	A MLE	SF	0%	20	18	3	1	0	0	2	6	0	0	0	167	250	222	472	56	277	30	10	286	79	-0	+0	+0	-0	+0	-0.0
TOT	20	A MLE	SF	—	233	202	43	7	1	5	25	73	4	1	0	213	312	332	643	119	306	31	11	294	85	-4	+0	+0	-1	+5	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	SF	34%	280	243	52	9	2	6	31	77	4	3	1	214	313	342	655	128	281	28	11	295	86	-5	+0	+0	-2	+6	-0.0
2028	22	MLB MLE	SF	48%	386	336	74	13	3	9	42	104	5	5	1	220	316	357	673	137	283	27	11	301	90	-5	+1	+0	-2	+8	0.2
2029	23	MLB MLE	SF	54%	454	396	87	15	3	11	49	120	6	6	1	220	315	356	671	136	284	26	11	305	93	-4	+1	+0	-3	+10	0.4
2030	24	MLB MLE	SF	55%	498	434	96	17	3	12	54	130	7	6	2	221	317	357	674	136	285	26	11	308	95	-3	+0	+0	-3	+11	0.5
2031	25	MLB MLE	SF	56%	522	453	101	18	3	13	57	136	7	7	2	223	319	362	681	139	285	26	11	309	95	-3	+1	+0	-3	+11	0.6
2032	26	MLB MLE	SF	56%	535	464	104	18	4	14	59	139	7	7	2	224	321	371	691	147	285	26	11	310	96	-3	+1	+0	-3	+12	0.6
2033	27	MLB MLE	SF	55%	538	466	104	18	3	14	60	141	7	7	2	223	321	365	686	142	285	26	11	310	96	-3	+1	+0	-3	+12	0.6
2034	28	MLB MLE	SF	55%	535	463	103	18	3	14	60	141	7	7	2	222	321	365	686	143	284	26	11	309	95	-3	+1	-1	-3	+12	0.5
2035	29	MLB MLE	SF	58%	527	456	100	17	3	13	59	139	7	6	2	219	318	355	673	136	283	26	11	307	94	-4	+0	-1	-3	+11	0.3
2036	30	MLB MLE	SF	60%	517	447	98	17	3	13	58	138	7	6	2	219	318	358	676	139	282	27	11	304	92	-5	+0	-2	-3	+11	0.1
2037	31	MLB MLE	SF	62%	504	436	94	16	3	12	56	136	7	6	1	216	315	349	663	133	279	27	11	300	89	-7	+1	-3	-3	+11	-0.1
2027	21	MLB CTX	SF	34%	96	84	18	3	1	2	11	26	1	1	0	214	312	345	658	131	276	27	11	279	86	-2	+0	+0	-1	+2	0.0
2028	22	MLB CTX	SF	48%	187	162	34	6	1	4	20	50	3	2	1	210	308	333	641	123	277	27	11	285	90	-2	+0	+0	-1	+4	0.1
2029	23	MLB CTX	SF	54%	246	214	47	8	2	6	27	65	3	3	1	220	316	360	675	140	278	26	11	289	93	-2	+0	+0	-1	+5	0.2
2030	24	MLB CTX	SF	55%	276	240	52	9	2	6	30	72	4	4	1	217	314	346	660	129	279	26	11	291	95	-2	+0	+0	-2	+6	0.3
2031	25	MLB CTX	SF	56%	292	254	56	10	2	7	32	76	4	4	1	220	317	358	676	138	279	26	11	292	95	-2	+0	+0	-2	+6	0.3
2032	26	MLB CTX	SF	56%	301	261	57	10	2	7	33	78	4	4	1	218	315	352	668	134	279	26	11	293	96	-2	+0	+0	-2	+7	0.4
2033	27	MLB CTX	SF	55%	298	259	56	10	2	7	33	78	4	4	1	216	314	351	666	135	279	26	11	293	96	-2	+0	+0	-2	+6	0.4
2034	28	MLB CTX	SF	55%	293	254	55	9	2	7	33	77	4	4	1	217	316	350	667	134	278	26	11	292	95	-2	+0	-0	-2	+6	0.3
2035	29	MLB CTX	SF	58%	306	265	57	10	2	7	34	81	4	4	1	215	314	347	661	132	278	26	11	290	94	-2	+0	-1	-2	+7	0.2
2036	30	MLB CTX	SF	60%	311	269	58	10	2	7	35	83	4	4	1	216	315	346	661	130	276	27	11	287	92	-3	+0	-1	-2	+7	0.1
2037	31	MLB CTX	SF	62%	311	269	57	10	2	7	35	84	4	3	1	212	312	342	654	130	274	27	11	284	89	-4	+0	-2	-2	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2917	2531	547	95	20	67	323	770	39	37	10	216	314	349	663	133	281	26	11	289	90	-23	+3	-4	-18	+63	2.2
/ 162G	—	A+C		—	650	564	121	21	4	15	72	172	9	8	2	215	313	346	659	131	279	26	11	289	90	-5	+1	-1	-4	+14	0.5
Career	—	MLE		—	5855	5078	1098	191	38	140	649	1570	81	90	24	216	315	352	666	135	282	27	11	302	90	-44	+6	-7	-32	+115	3.9
/ 162G	—	MLE		—	650	564	122	21	4	16	72	174	9	10	3	216	315	353	668	137	281	27	11	302	90	-5	+1	-1	-4	+14	0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Logan Forsythelast yr '19 career totals — 9 seasons, 3,502 PA	5.3	3,502	70	42	246	327	370	+5	-11	8.6	9.2
/162	664	13	8	+0.9	-2.2	1.6	pk7: 10
#2Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#3Gabe Grosslast yr '10 career totals — 7 seasons, 1,682 PA	2.5	1,682	40	22	239	330	385	-14	+11	5.1	5.1
/162	664	16	9	-5.7	+4.4	2.0	pk7: 5
#4Michael 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
#5Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.7	3,095	75	39	220	314	357	-19	+0	4.3	3.9
/162	664	16	8	-4.0	+0.0	0.9	pk7: 4
#6Dustin 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

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
Angel Guzman (OGILVIE)	20	25	30	40	60	202/302/315	113	277	3	2	29%	11%	79	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Carlos Rodriguez 2023 · A	20	38	40→45	47→45	46	182/270/274	91	279	8	6	35%	10%	57	-1.8	191/265/269	78	298	5	6	34%	9%	53	-2.1	177/255/266	89	258	8	2	32%	9%	47	-1.0
✕Jaden Rudd 2023 · A	20	39→36	39→30	49→50	49	188/279/278	90	259	6	12	28%	10%	62	-1.4	179/292/246	67	290	3	14	35%	11%	61	-1.5	155/286/207	52	265	2	16	36%	11%	49	-1.2
✕Rudy van Heydoorn 2009 · A	20	39	43→45	42→50	48	193/294/300	106	278	11	10	32%	10%	73	-0.6	183/264/287	104	286	10	6	37%	8%	58	-1.7	153/236/254	101	237	11	2	38%	9%	40	-0.9
✕Anthony Seigler 2019 · A	20	45→39	38→45	48→55	50	214/284/293	79	268	6	5	22%	8%	65	-1.2	195/274/272	77	286	5	5	30%	9%	58	-1.7	219/309/345	126	268	10	25	21%	11%	85	+0.2
✕Wilmer Oberto 2013 · A	20	41	42→50	43→45	46	202/280/307	105	255	10	7	24%	7%	69	-0.9	208/266/321	113	282	10	4	29%	6%	65	-1.2	197/246/315	118	270	11	0	30%	5%	55	-0.6
✕Michael De La Cruz 2016 · A	20	41	36→40	45→50	44	192/261/262	70	277	4	9	30%	8%	50	-2.3	192/257/257	65	308	3	10	35%	8%	47	-2.5	156/232/188	31	269	0	14	38%	9%	20	-1.5
●Carter Jensen 2023 · A	20	37→47	43→55	45→50	46	184/266/293	108	267	10	7	33%	10%	60	-1.6	197/285/328	131	277	13	9	31%	11%	75	-0.5	225/304/406	181	290	21	8	29%	10%	98	+1.1
✕Daury Arias 2023 · A	21	39→38	44→40	46→45	50	197/285/309	112	247	11	8	24%	9%	71	-0.8	183/263/266	83	270	7	9	32%	9%	53	-2.1	162/246/233	72	244	6	9	33%	9%	36	-1.7
✕Leopoldo Correa 2012 · A	20	45	41→45	40→30	48	219/282/321	102	260	9	2	19%	7%	72	-0.7	208/263/288	80	271	5	4	24%	6%	56	-1.9	185/234/237	52	251	2	1	26%	5%	30	-0.9
✕Randy Florentino 2021 · A	21	43	40→50	42→45	47	204/282/302	97	297	7	6	32%	10%	68	-1.0	180/243/263	83	270	8	5	34%	7%	44	-2.8	188/237/266	78	247	8	4	27%	6%	40	-0.9
✕Nelson B Alvarez 2016 · A	20	44	40	45→40	48	208/287/304	96	292	7	4	29%	9%	70	-0.9	188/271/261	73	259	5	5	27%	9%	54	-2.0	153/246/204	51	208	4	4	26%	10%	32	-1.1
✕Iverson Leonardo 2022 · A	20	41	44→50	47→50	41	198/276/319	121	305	10	9	36%	8%	70	-0.9	189/268/291	102	310	9	8	39%	8%	61	-1.5	158/247/253	95	261	8	8	39%	9%	43	-0.7
✕Jose Roman 2011 · A	20	45	40	46→45	45	215/275/308	93	292	6	5	27%	8%	65	-1.2	231/290/327	96	288	7	6	21%	7%	76	-0.4	249/309/344	95	292	8	6	17%	8%	83	+0.0
✕Canaan Smith-Njigba 2019 · A	20	45→50	41→45	46→55	51	216/301/314	97	294	9	7	28%	10%	77	-0.3	232/302/345	113	325	10	11	29%	9%	84	+0.2	233/308/347	114	330	9	15	29%	10%	84	+0.1
✕Ricardo Burgos 2007 · A	20	45	41→45	48→40	53	213/306/315	103	293	7	6	28%	11%	80	-0.2	215/288/333	118	309	11	5	31%	9%	77	-0.3	191/262/333	141	266	19	2	34%	8%	67	-0.3
✕Imanol Vargas 2019 · A	21	42→43	40→50	45	51	200/293/295	95	288	7	9	30%	11%	71	-0.8	206/284/345	139	314	15	7	36%	9%	78	-0.3	204/288/352	148	322	17	2	39%	10%	80	-0.1
✕Hoy Park 2016 · A	20	40→49	41→45	47→55	46	196/269/296	99	264	8	11	28%	8%	61	-1.5	204/280/290	86	281	5	16	27%	8%	63	-1.3	228/317/324	96	297	8	17	24%	11%	83	+0.0
✕Herman Armas 2007 · A	20	41	40→45	47→50	40	198/265/294	96	288	7	11	32%	6%	59	-1.6	218/287/329	111	286	11	9	26%	7%	76	-0.4	218/293/335	117	266	14	9	23%	8%	78	-0.2
✕Enmanuel Terrero 2022 · A	19	43	36→45	46→55	53	200/285/268	68	260	3	9	23%	10%	61	-1.5	217/295/305	88	312	7	14	30%	10%	73	-0.6	206/286/298	92	317	9	17	35%	10%	65	-0.5
✕Ramiro Rodriguez 2017 · A	19	41	40	45→50	51	195/277/291	96	232	6	6	18%	8%	63	-1.3	219/297/321	102	266	8	11	20%	8%	78	-0.3	198/280/291	93	262	8	15	25%	9%	63	-0.5

Career Stats + Projections

Career Comps

Career Path Comps