David Guzman — OGILVIE

David GuzmanOF FCL Blue Jays

Age 20 L/L 5'6" / 160 lbs ROK Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION103 act + 9 ros · stats below = ROS only

showingROS

wRC+†75

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

PA9

HR0

K%22

BB%11

BABIP271

ISO99

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$5M ctrl surplus

Tools · ContractCON 56 / POW 40

Toolsscout grade

CONTACT56

scouting grade only

POWER40

scouting grade only

EYE64

scouting grade only

SPEED52

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.2	$0.4M	+$0.0M
2035	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-2	$1M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$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)
2023	17	ROK	DSL Blue Jays	—	231	195	57	11	1	2	27	25	9	8	2	292	403	390	792	97	327	11	12	365	133	+9	+1	—	—	+5	1.5
2024	18	ROK	FCL Blue Jays	—	115	94	21	5	0	0	18	20	1	0	0	223	354	277	631	53	276	17	16	297	87	-2	+0	—	—	+2	0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Blue Jays	—	231	206	46	8	1	1	16	36	9	8	2	223	307	286	594	63	258	16	7	266	66	-9	+1	—	—	+5	-0.4
2024	18	ROK MLE	FCL Blue Jays	—	115	101	17	4	0	0	11	29	1	0	0	168	257	208	465	40	219	25	10	213	30	-10	+0	—	—	+2	-0.7
2023	17	ROK MLE	DSL Blue Jays	—	231	206	46	8	1	1	16	36	9	8	2	223	307	286	594	63	266	16	7	266	66	—	—	—	—	—	—
2023	17	ROK RAW	DSL Blue Jays	—	231	195	57	11	1	2	27	25	9	8	2	292	403	390	792	97	327	11	12	365	66	—	—	—	—	—	—
2024	18	ROK MLE	FCL Blue Jays	—	115	101	17	4	0	0	11	29	1	0	0	168	257	208	465	40	230	25	10	213	30	—	—	—	—	—	—
2024	18	ROK RAW	FCL Blue Jays	—	115	94	21	5	0	0	18	20	1	0	0	223	354	277	631	53	276	17	16	297	30	—	—	—	—	—	—
2023	17	ROK MLE	DSL Blue Jays	—	231	204	46	8	1	1	16	36	9	8	2	225	307	289	597	64	258	16	7	266	66	—	—	—	—	—	—
2024	18	ROK MLE	FCL Blue Jays	—	115	102	17	4	0	0	11	29	1	0	0	167	257	206	463	39	219	25	10	213	30	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL Blue Jays	—	231	204	46	8	1	1	16	36	9	8	2	225	307	289	597	64	258	16	7	266	66	—	—	—	—	—	—
2024	18	ROK MLE	FCL Blue Jays	—	115	102	17	4	0	0	11	29	1	0	0	167	257	206	463	39	219	25	10	213	30	—	—	—	—	—	—
YTD	20	ROK MLE	TOR	—	103	88	15	1	0	2	13	19	2	5	1	170	291	250	541	80	194	18	13	267	67	-4	+1	+0	-1	+2	-0.2
▸ 2026 season
YTD	20	ROK RAW	TOR	—	103	80	20	2	0	3	21	13	2	5	1	250	417	388	805	138	266	13	20	374	67	—	—	—	—	—	—
ROS	20	ROK MLE	TOR	0%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		270	22	11	280	75	-0	+0	+0	-0	+0	-0.0
TOT	20	ROK MLE	TOR	—	112	96	16	1	0	2	14	21	2	5	1	167	286	240	525	73	192	19	12	268	68	-4	+1	+0	-1	+2	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	TOR	34%	182	161	36	6	1	3	17	40	2	3	1	224	306	329	635	106	276	22	9	292	84	-4	+0	+0	-1	+4	-0.0
2028	22	MLB MLE	TOR	48%	312	276	64	11	2	6	29	68	4	5	1	232	314	351	665	120	278	22	9	297	87	-5	+1	+0	-2	+7	0.1
2029	23	MLB MLE	TOR	54%	401	356	81	14	2	8	37	87	5	6	2	228	309	346	655	118	280	22	9	301	90	-5	+0	+0	-2	+9	0.2
2030	24	MLB MLE	TOR	55%	461	409	94	16	2	10	43	100	6	7	2	230	312	352	664	122	281	22	9	303	91	-5	+1	+0	-3	+10	0.3
2031	25	MLB MLE	TOR	56%	496	440	102	18	2	11	46	107	7	8	2	232	314	357	671	125	281	22	9	304	92	-5	+1	+0	-3	+11	0.4
2032	26	MLB MLE	TOR	56%	515	455	106	18	3	11	48	111	7	8	2	233	316	358	674	125	281	22	9	304	92	-5	+1	+0	-3	+11	0.4
2033	27	MLB MLE	TOR	55%	523	461	109	19	3	12	50	113	7	8	2	236	320	369	689	132	280	22	10	304	92	-5	+1	+0	-3	+11	0.4
2034	28	MLB MLE	TOR	55%	524	462	106	18	2	11	50	114	7	8	2	229	314	348	663	119	280	22	10	303	91	-5	+1	-1	-3	+11	0.3
2035	29	MLB MLE	TOR	53%	517	455	104	18	2	11	50	113	7	7	2	229	314	349	664	121	279	22	10	302	90	-6	+1	-1	-3	+11	0.1
2036	30	MLB MLE	TOR	53%	509	448	102	17	2	11	49	113	7	7	2	228	313	348	662	121	278	22	10	299	88	-7	+1	-2	-3	+11	-0.1
2027	21	MLB CTX	TOR	34%	63	56	12	2	0	1	6	14	1	1	0	214	302	304	605	89	278	22	10	283	84	-1	+0	+0	-0	+1	-0.0
2028	22	MLB CTX	TOR	48%	151	134	31	5	1	3	14	33	2	2	1	231	313	351	664	119	279	22	9	289	87	-2	+0	+0	-1	+3	0.0
2029	23	MLB CTX	TOR	54%	217	192	45	8	1	5	20	47	3	3	1	234	316	365	681	130	281	22	9	292	90	-3	+0	+0	-1	+5	0.1
2030	24	MLB CTX	TOR	55%	256	227	53	9	1	6	24	55	3	4	1	233	315	361	676	128	282	21	9	295	91	-3	+0	+0	-2	+6	0.2
2031	25	MLB CTX	TOR	56%	278	246	57	10	1	6	26	60	4	4	1	232	315	354	669	122	282	22	9	295	92	-3	+0	+0	-2	+6	0.2
2032	26	MLB CTX	TOR	56%	290	257	59	10	1	6	27	62	4	5	1	230	312	346	659	117	282	21	9	296	92	-3	+1	+0	-2	+6	0.2
2033	27	MLB CTX	TOR	55%	289	256	59	10	1	6	27	62	4	5	1	230	314	348	661	117	282	21	9	296	92	-3	+1	+0	-2	+6	0.2
2034	28	MLB CTX	TOR	55%	287	254	58	10	1	6	27	62	4	4	1	228	312	346	659	118	281	22	9	295	91	-3	+0	-0	-2	+6	0.2
2035	29	MLB CTX	TOR	53%	276	243	56	10	1	6	27	61	4	4	1	230	318	354	671	123	280	22	10	293	90	-3	+0	-1	-2	+6	0.1
2036	30	MLB CTX	TOR	53%	268	237	54	9	1	6	26	59	3	3	1	228	312	350	662	122	279	22	10	290	88	-4	+0	-1	-2	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2375	2102	484	83	9	51	224	515	32	35	9	230	314	351	665	121	280	22	9	293	88	-27	+3	-2	-14	+51	1.2
/ 162G	—	A+C		—	650	575	132	23	2	14	61	141	9	10	2	230	313	350	662	120	280	22	9	293	88	-7	+1	-1	-4	+14	0.3
Career	—	MLE		—	4795	4238	968	167	22	95	447	1033	69	75	20	228	312	345	658	117	278	22	9	298	88	-51	+6	-4	-27	+96	2.1
/ 162G	—	MLE		—	650	574	132	23	3	13	61	140	9	10	3	230	314	348	662	118	280	22	9	298	88	-7	+1	-1	-4	+14	0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jace 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
#2Gabe 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
#3Michael 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
#4Tony 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
#5Dustin 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.7	2,472	52	38	232	311	354	-15	+0	2.9	2.7
/162	664	14	10	-4.0	+0.0	0.8	pk7: 3
#6Travis Sniderlast yr '15 career totals — 8 seasons, 1,971 PA	3.0	1,971	54	22	244	311	399	-21	-17	1.4	1.8
/162	664	18	7	-7.1	-5.8	0.5	pk7: 2

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
David Guzman (OGILVIE)	20	51→56	35→40	47→52	64	214/297/308	93	270	1	2	22%	9%	75	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ramón Flores 2012 · A	20	45→55	40→45	50	46	218/274/310	92	277	7	8	24%	7%	65	-1.2	233/289/332	99	292	7	10	21%	7%	76	-0.4	248/322/344	96	296	8	8	18%	9%	88	+0.3
✕Dwight Smith Jr. 2014 · A	21	47→53	40→45	52→50	45	229/283/316	87	288	8	13	23%	6%	70	-0.8	239/293/345	106	290	8	10	19%	7%	80	-0.1	243/304/370	127	291	12	9	20%	7%	89	+0.4
✕Hendry Mendez 2023 · A	19	46→56	38→45	42→45	50	219/292/294	75	276	6	6	22%	8%	69	-0.9	234/299/322	88	290	6	5	20%	8%	78	-0.3	258/330/364	106	310	10	6	19%	9%	97	+0.8
✕Yohendrick Pinango 2022 · A	20	50→51	38→45	50	44	240/282/321	81	294	5	9	20%	5%	70	-0.8	212/257/310	98	267	9	10	23%	6%	59	-1.7	213/280/338	125	272	13	7	26%	8%	73	-0.5
✕Jose Constanza 2006 · A	22	47→57	37→40	48→60	51	222/294/293	71	286	5	9	23%	9%	70	-0.9	254/308/324	70	327	3	24	21%	7%	81	-0.1	286/332/342	56	333	1	37	14%	6%	90	+0.5
✕Tirso Ornelas 2019 · A	19	43→53	41→50	50→45	45	207/274/304	97	288	8	5	30%	8%	65	-1.2	190/254/267	77	278	5	5	31%	8%	49	-2.4	249/307/375	126	306	13	7	22%	7%	91	+0.6
✕Ismael Munguia 2019 · A	20	48→55	37→45	50→55	45	225/265/306	81	265	3	7	16%	5%	60	-1.6	245/282/332	87	281	4	10	14%	4%	73	-0.6	263/318/368	105	289	10	20	13%	5%	93	+0.5
✕Tyler Freeman 2019 · A	20	47→57	39→40	50→55	44	222/277/312	90	260	6	8	17%	5%	68	-1.0	244/295/329	85	283	4	11	15%	4%	78	-0.3	265/336/353	88	301	8	15	14%	5%	96	+0.5
✕Akil Baddoo 2019 · A	20	42→52	43→50	56→55	47	203/279/323	120	288	8	13	30%	9%	71	-0.8	213/282/343	130	314	11	16	33%	9%	76	-0.4	236/319/383	147	308	15	24	26%	11%	96	+0.7
✕Forrest Wall 2016 · A	20	47→55	42→45	57→70	46	225/280/336	111	286	8	18	24%	7%	74	-0.6	219/272/313	94	293	8	18	26%	6%	65	-1.2	253/326/354	101	349	8	50	27%	9%	92	+0.5
✕Eliezer Álvarez 2015 · A	20	43→53	40→45	54→55	44	206/262/313	106	260	6	11	22%	6%	61	-1.5	245/294/353	108	322	5	15	24%	6%	82	+0.0	254/307/365	110	342	6	19	26%	6%	89	+0.3
✕Jordany Valdespin 2008 · A	20	43→53	37→50	49→55	48	202/278/277	75	266	4	10	24%	8%	61	-1.5	224/265/323	99	274	7	13	20%	5%	65	-1.2	257/296/398	141	298	16	28	19%	4%	91	+0.4
✕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
●Gavin Lux 2018 · A	20	45→55	39→50	53→50	45	216/275/305	89	286	6	13	26%	7%	64	-1.3	247/303/392	145	313	15	11	25%	7%	95	+1.0	265/334/414	149	332	14	8	23%	9%	109	+1.7
✕Matt Cerda 2010 · A	20	43→53	38→40	50→40	46	205/262/283	78	260	6	6	23%	7%	55	-2.0	234/308/311	77	294	3	4	19%	9%	78	-0.3	235/317/306	71	295	3	4	19%	10%	79	-0.2
✕Kelly Dugan 2012 · A	21	49→52	39→50	47→40	43	231/288/320	89	304	5	10	25%	6%	73	-0.6	239/296/369	130	344	12	3	32%	6%	88	+0.4	248/311/354	106	323	9	2	24%	5%	88	+0.2
✕William Beckwith 2011 · A	20	44	41→50	52→50	47	212/283/313	101	273	9	9	25%	8%	70	-0.8	218/283/364	146	288	16	10	29%	6%	83	+0.1	211/277/364	153	280	19	11	31%	6%	79	-0.1
✕Bo Greenwell 2010 · A	21	49→58	38→45	46→50	49	229/281/315	87	264	5	9	15%	6%	69	-0.9	253/302/341	88	312	6	12	20%	6%	82	+0.0	261/311/348	86	325	5	13	20%	6%	85	+0.1
✕Dario Unda 2017 · A	21	47	41→45	44→45	47	227/282/331	104	276	7	7	20%	7%	74	-0.6	221/273/336	115	290	10	7	26%	6%	71	-0.8	209/250/353	145	267	17	6	28%	5%	63	-0.3
✕Tim Kennelly 2007 · A	20	44→51	40	48→40	45	212/274/310	98	278	7	7	25%	7%	65	-1.2	221/278/314	93	301	5	6	26%	7%	68	-1.0	239/300/330	91	299	5	4	20%	6%	78	-0.2

Career Stats + Projections

Career Comps

Career Path Comps