Oswaldo Osorio

SS Ontario Tower Buzzers

Age 22 L/R 6'1" / 171 lbs A HR +8%BB -8% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#2428ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	ALAA	291	.194/.316/.279	2	1	30	—	.145/.251/.204
2025	20	A/ROK2 orgs	235	.178/.332/.272	5	7	21	—	.113/.243/.163
2026	21	A/ROKLAD	321	.245/.351/.482	16	1	65	—	.178/.260/.343
2027PROJMLE	22	MLBLAD	431	.174/.266/.296	11	5	61	-0.2
2028PROJ34% MLB	23	MLBLAD	84	.178/.269/.307	2	1	65	-0.1
2029PROJ46% MLB	24	MLBLAD	150	.182/.273/.316	4	2	69	-0.1

Next 3 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A

ISO94

Chase%77

wOBA73

wRC+69

BB%62

Z-Con%52

Career WAR0.0 WAR median (P10 0.0 / P90 0.1, comp-based) · star 1% · didn't stick 92%

CompsRandy Florentino (age 22) · Iverson Leonardo (age 21) · Jacob Wetzel (age 23)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 208 proj PA

wRC+†61

AVG/OBP/SLG.172 / .263 / .293

PA208

HR5

K%36

BB%9

ISO122

MLB%0%

Value2027 · WAR

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

Tools · ContractCON 20 / POW 30

Toolsscout grade

CONTACT20

scouting grade only

POWER30

scouting grade only

EYE60

scouting grade only

SPEED50

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
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	—	—	—
2033	Pre-Arb	$0.9M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Arb-1	$0.2M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	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. 2027 = full-season projection (no games played yet). 2028+ 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	17	ROK	DSL LAD Bautista	—	187	138	33	4	5	6	39	44	8	11	7	239	432	471	903	232	300	24	21	401	71	—	—	—	—	—	—
2023	18	ROK	ACL Dodgers	—	201	164	43	6	3	6	29	54	7	1	1	262	395	445	840	183	352	27	14	377	63	—	—	—	—	—	—
2024	19	A	Rancho Cucamonga Quakes	—	291	247	48	13	1	2	34	85	10	1	3	194	316	279	596	85	287	29	12	284	30	—	—	—	—	—	—
2025	20	A	Rancho Cucamonga Quakes	—	201	159	22	0	0	5	36	69	6	7	4	138	318	233	551	94	200	34	18	275	18	—	—	—	—	—	—
2025	20	ROK	ACL Dodgers	—	34	32	12	3	0	0	1	12	1	0	0	375	412	469	881	94	600	35	3	395	40	—	—	—	—	—	—
2026	21	A	Ontario Tower Buzzers	—	223	188	48	7	1	13	30	57	3	1	0	255	367	511	877	255	292	26	13	382	83	—	—	—	—	—	—
2026	21	ROK	ACL Dodgers	—	98	86	19	4	2	3	10	29	2	0	2	221	316	419	735	198	296	30	10	328	23	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL LAD Bautista	—	187	147	22	3	3	3	30	52	8	11	7	150	324	272	596	122	192	28	16	273	71	—	—	—	—	—	—
2023	18	ROK MLE	ACL Dodgers	—	201	175	32	4	2	4	18	77	7	1	1	183	285	297	582	114	287	38	9	262	63	—	—	—	—	—	—
2024	19	A MLE	Rancho Cucamonga Quakes	—	291	255	37	10	1	1	26	120	10	1	3	145	251	204	455	59	260	41	9	212	30	—	—	—	—	—	—
2025	20	A MLE	Rancho Cucamonga Quakes	—	201	169	16	0	0	3	26	95	6	7	4	95	239	148	387	53	177	47	13	195	18	—	—	—	—	—	—
2025	20	ROK MLE	ACL Dodgers	—	34	32	7	1	0	0	1	17	1	0	0	219	265	250	515	31	466	50	3	228	40	—	—	—	—	—	—
2026	21	A MLE	Ontario Tower Buzzers	—	223	197	39	5	1	10	21	78	3	1	0	198	285	386	671	188	256	35	9	291	83	—	—	—	—	—	—
2026	21	ROK MLE	ACL Dodgers	—	98	90	12	2	1	2	6	42	2	0	2	133	204	244	449	111	218	43	6	202	23	—	—	—	—	—	—
2022	17	ROK MLE	DSL LAD Bautista	—	187	147	22	3	3	3	30	52	8	11	7	150	324	272	596	122	202	28	16	273	71	—	—	—	—	—	—
2022	17	ROK RAW	DSL LAD Bautista	—	187	138	33	4	5	6	39	44	8	11	7	239	432	471	903	232	300	24	21	401	71	—	—	—	—	—	—
2023	18	ROK MLE	ACL Dodgers	—	201	175	32	4	2	4	18	77	7	1	1	183	285	297	582	114	295	38	9	262	63	—	—	—	—	—	—
2023	18	ROK RAW	ACL Dodgers	—	201	164	43	6	3	6	29	54	7	1	1	262	395	445	840	183	352	27	14	377	63	—	—	—	—	—	—
2024	19	A MLE	Rancho Cucamonga Quakes	—	291	255	37	10	1	1	26	120	10	1	3	145	251	204	455	59	269	41	9	212	30	—	—	—	—	—	—
2024	19	A RAW	Rancho Cucamonga Quakes	—	291	247	48	13	1	2	34	85	10	1	3	194	316	279	596	85	287	29	12	284	30	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	235	201	22	1	0	3	27	112	7	7	4	109	238	159	398	50	221	48	11	200	21	—	—	—	—	—	—
2025	20	A RAW	2 teams	—	235	191	34	3	0	5	37	81	7	7	4	178	332	272	604	94	276	34	16	293	21	—	—	—	—	—	—
2026	21	A MLE	2 teams	—	321	287	52	8	2	12	27	119	5	1	2	181	263	348	612	167	253	37	8	264	65	—	—	—	—	—	—
2026	21	A RAW	2 teams	—	321	274	67	11	3	16	40	86	5	1	2	245	351	482	833	237	293	27	12	366	65	—	—	—	—	—	—
2022	17	ROK MLE	DSL LAD Bautista	—	187	147	22	3	3	3	30	52	8	11	7	150	324	272	596	122	192	28	16	273	71	—	—	—	—	—	—
2023	18	ROK MLE	ACL Dodgers	—	201	174	32	4	2	4	18	77	7	1	1	184	285	299	584	115	287	38	9	262	63	—	—	—	—	—	—
2024	19	A MLE	Rancho Cucamonga Quakes	—	291	253	37	10	1	1	26	120	10	1	3	146	251	206	456	59	260	41	9	212	30	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	235	199	22	1	0	3	27	112	7	7	4	111	238	161	399	50	219	48	11	200	21	—	—	—	—	—	—
2026	21	A MLE	2 teams	—	321	286	52	8	2	12	27	119	5	1	2	182	263	350	613	168	244	37	8	264	65	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	A MLE	Rancho Cucamonga Quakes	—	291	253	37	10	1	1	26	120	10	1	3	146	251	206	456	59	260	41	9	212	30	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	235	199	22	1	0	3	27	112	7	7	4	111	238	161	399	50	219	48	11	200	21	—	—	—	—	—	—
2026	21	A MLE	2 teams	—	321	286	52	8	2	12	27	119	5	1	2	182	263	350	613	168	244	37	8	264	65	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	LAD	0%	431	381	67	11	2	11	40	155	7	5	3	174	266	296	562	122	255	36	9	258	61	-20	-0	+0	+5	+9	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	LAD	34%	244	215	39	7	1	6	23	85	4	3	2	180	271	308	580	129	257	35	9	265	65	-10	-0	+0	+3	+5	-0.2
2029	24	MLB MLE	LAD	46%	326	287	53	9	1	9	31	111	5	4	3	185	275	318	593	133	260	34	10	270	69	-12	-0	+0	+3	+7	-0.2
2030	25	MLB MLE	LAD	52%	372	328	62	11	2	10	35	124	6	5	3	189	279	324	603	136	262	33	9	274	72	-13	-0	+0	+4	+8	-0.1
2031	26	MLB MLE	LAD	54%	399	353	68	12	2	11	37	131	6	6	4	191	281	328	609	137	264	33	9	277	73	-13	-0	+0	+4	+9	-0.0
2032	27	MLB MLE	LAD	58%	411	363	70	12	2	11	39	133	6	6	4	193	282	330	612	137	265	32	9	278	74	-13	-0	+0	+4	+9	0.0
2033	28	MLB MLE	LAD	61%	411	364	70	12	2	11	38	134	6	5	4	191	280	326	605	134	264	33	9	275	72	-14	-1	-1	+4	+9	-0.2
2034	29	MLB MLE	LAD	62%	403	356	69	12	2	11	38	133	6	5	4	189	277	320	597	130	263	33	9	272	70	-14	-1	-1	+4	+9	-0.3
2035	30	MLB MLE	LAD	63%	393	348	64	11	1	10	36	131	6	4	4	186	274	312	586	126	261	33	9	267	67	-15	-1	-2	+4	+9	-0.6
2028	23	MLB CTX	LAD	34%	84	75	12	2	0	2	8	29	1	1	1	178	269	307	576	129	252	35	10	263	65	-3	-0	+0	+1	+2	-0.1
2029	24	MLB CTX	LAD	46%	150	133	24	4	1	4	14	51	2	2	1	182	273	316	589	134	255	34	9	269	69	-6	+0	+0	+2	+3	-0.1
2030	25	MLB CTX	LAD	52%	192	169	32	5	1	6	18	64	3	3	2	186	276	323	599	136	257	33	9	272	72	-6	-0	+0	+2	+4	-0.0
2031	26	MLB CTX	LAD	54%	216	191	36	6	1	6	20	71	3	3	2	189	278	326	605	138	258	33	9	275	73	-7	-0	+0	+2	+5	-0.0
2032	27	MLB CTX	LAD	58%	240	212	41	7	1	7	22	78	4	4	2	190	279	328	607	137	259	32	9	276	74	-7	+0	+0	+3	+5	0.0
2033	28	MLB CTX	LAD	61%	250	221	42	7	1	7	23	82	4	3	2	189	278	324	601	135	258	33	9	273	72	-8	-0	-0	+3	+5	-0.1
2034	29	MLB CTX	LAD	62%	251	222	42	7	1	7	23	83	4	3	3	187	275	318	592	131	257	33	9	270	70	-9	-1	-1	+3	+5	-0.2
2035	30	MLB CTX	LAD	63%	248	219	41	7	1	7	23	82	4	2	3	184	272	310	582	126	255	33	9	266	67	-10	-1	-1	+3	+5	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1631	1442	270	45	7	46	151	540	25	21	16	187	276	324	600	137	260	33	9	271	64	-57	-2	-3	+17	+35	-0.9
/ 162G	—	A+C		—	650	575	108	18	3	18	60	215	10	8	6	188	276	323	599	136	261	33	9	271	64	-23	-1	-1	+7	+14	-0.4
Career	—	MLE		—	4402	3862	692	117	22	107	424	1537	86	61	46	179	275	304	579	125	261	35	10	263	64	-113	-4	-4	+34	+69	-1.9
/ 162G	—	MLE		—	650	570	102	17	3	16	63	227	13	9	7	179	276	304	579	125	261	35	10	263	64	-23	-1	-1	+7	+14	-0.4

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AOntario Tower Buzzers · 223 PAwOBA .375 → .291 (−85)K% 25.6% → 34.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.56%	÷1.000	×1.360	—	—	34.76%
BB% (unintentional) /PA	13.45%	÷1.000	×0.690	—	×1.015	9.42%
HBP% /PA	1.35%	—	×0.780	—	×1.015	1.07%
Singles /BIP	20.61%	÷1.000	×0.920	×0.980	×1.015	18.85%
Doubles /BIP	5.34%	÷1.000	×0.830	×0.980	×1.015	4.41%
Triples /BIP	0.76%	÷1.000	×0.910	×0.980	×1.015	0.69%
Home runs /BIP	9.92%	÷1.000	×0.800	—	×1.015	8.06%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.980.

Result: wOBA .375 → .291; ISO .255 → .195; BABIP .292 → .256. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2026 ROKACL Dodgers · 98 PAwOBA .319 → .202 (−117)K% 29.6% → 42.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.59%	÷1.000	×1.440	—	—	42.61%
BB% (unintentional) /PA	10.20%	÷1.000	×0.620	—	×0.985	6.23%
HBP% /PA	2.04%	—	×0.720	—	×0.985	1.45%
Singles /BIP	17.54%	÷1.000	×0.820	×0.967	×0.985	13.70%
Doubles /BIP	7.02%	÷1.000	×0.720	×0.967	×0.985	4.81%
Triples /BIP	3.51%	÷1.000	×0.720	×0.967	×0.985	2.41%
Home runs /BIP	5.26%	÷1.000	×0.780	—	×0.985	4.04%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.967.

Result: wOBA .319 → .202; ISO .198 → .123; BABIP .296 → .218. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 ARancho Cucamonga Quakes · 201 PAwOBA .269 → .195 (−75)K% 34.3% → 47.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.33%	÷0.987	×1.360	—	—	47.30%
BB% (unintentional) /PA	17.91%	÷0.981	×0.690	—	×1.030	12.97%
HBP% /PA	2.99%	—	×0.780	—	×1.030	2.40%
Singles /BIP	18.89%	÷1.004	×0.920	×0.950	×1.030	16.93%
Doubles /BIP	0.00%	÷1.054	×0.830	×0.950	×1.030	0.00%
Triples /BIP	0.00%	÷1.150	×0.910	×0.950	×1.030	0.00%
Home runs /BIP	5.56%	÷1.055	×0.800	—	×1.030	4.34%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 111, 1B 101, 2B 111, 3B 130, K 97, BB 96 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .269 → .195; ISO .094 → .061; BABIP .200 → .177. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 ROKACL Dodgers · 34 PAwOBA .384 → .228 (−156)K% 35.3% → 51.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.29%	÷0.993	×1.440	—	—	51.20%
BB% (unintentional) /PA	2.94%	÷0.997	×0.620	—	×0.995	1.82%
HBP% /PA	2.94%	—	×0.720	—	×0.995	2.11%
Singles /BIP	45.00%	÷0.996	×0.820	—	×0.995	36.87%
Doubles /BIP	15.00%	÷1.102	×0.720	—	×0.995	9.75%
Triples /BIP	0.00%	÷1.060	×0.720	—	×0.995	0.00%
Home runs /BIP	0.00%	÷1.187	×0.780	—	×0.995	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 137, 1B 99, 2B 120, 3B 112, K 99, BB 99 — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average).

Result: wOBA .384 → .228; ISO .094 → .047; BABIP .600 → .466. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 ARancho Cucamonga Quakes · 291 PAwOBA .277 → .212 (−65)K% 29.2% → 41.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.21%	÷0.964	×1.360	—	—	41.20%
BB% (unintentional) /PA	11.68%	÷0.943	×0.690	—	×1.045	8.93%
HBP% /PA	3.44%	—	×0.780	—	×1.045	2.80%
Singles /BIP	19.75%	÷1.072	×0.920	×1.012	×1.045	17.93%
Doubles /BIP	8.02%	÷0.973	×0.830	×1.012	×1.045	7.24%
Triples /BIP	0.62%	÷0.973	×0.910	×1.012	×1.045	0.61%
Home runs /BIP	1.23%	÷1.072	×0.800	—	×1.045	0.96%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 114, 1B 114, 2B 95, 3B 95, K 93, BB 89 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.012.

Result: wOBA .277 → .212; ISO .085 → .063; BABIP .287 → .260. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 ROKACL Dodgers · 201 PAwOBA .370 → .262 (−107)K% 26.9% → 38.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.87%	÷1.005	×1.440	—	—	38.51%
BB% (unintentional) /PA	14.43%	÷0.992	×0.620	—	×1.022	9.22%
HBP% /PA	3.48%	—	×0.720	—	×1.022	2.56%
Singles /BIP	25.45%	÷0.965	×0.820	×0.990	×1.022	21.90%
Doubles /BIP	5.45%	÷1.032	×0.720	×0.990	×1.022	3.85%
Triples /BIP	2.73%	÷0.980	×0.720	×0.990	×1.022	2.03%
Home runs /BIP	5.45%	÷1.005	×0.780	—	×1.022	4.33%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 101, 1B 93, 2B 106, 3B 96, K 101, BB 98 — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .370 → .262; ISO .183 → .127; BABIP .352 → .287. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 DSLDSL LAD Bautista · 187 PAwOBA .397 → .273 (−123)K% 23.5% → 28.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.53%	÷1.025	×1.220	—	—	28.01%
BB% (unintentional) /PA	20.86%	÷0.942	×0.700	—	×1.022	15.84%
HBP% /PA	4.28%	—	×0.700	—	×1.022	3.06%
Singles /BIP	19.15%	÷1.028	×0.680	×0.987	×1.022	12.78%
Doubles /BIP	4.26%	÷0.937	×0.600	×0.987	×1.022	2.75%
Triples /BIP	5.32%	÷0.915	×0.600	×0.987	×1.022	3.52%
Home runs /BIP	6.38%	÷1.028	×0.470	—	×1.022	2.99%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 106, 1B 106, 2B 87, 3B 83, K 105, BB 88 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.

Result: wOBA .397 → .273; ISO .232 → .135; BABIP .300 → .192. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Tim Bogar'93-'01 * career totals — 8 seasons, 1,710 PA	2.6	1,710	24	13	217*	284*	324*	+11	+37	2.1	2.9
/162	664	9	5	+4.2	+14.4	0.8	pk7: 4
#2Ryan 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
#3Pete Mackanin'73-'81 * career totals — 6 seasons, 1,686 PA	2.5	1,686	30	27	222*	261*	370*	+6	+23	0.6	1.6
/162	664	12	11	+2.4	+8.9	0.2	pk7: 3
#4Todd Cruz'78-'84 * career totals — 5 seasons, 1,634 PA	2.5	1,634	34	9	215*	250*	348*	+13	+35	0.5	0.5
/162	664	14	4	+5.4	+14.2	0.2	pk7: 0
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.8	1,839	49	24	188	274	320	+20	+15	0.2	0.4
/162	664	18	8	+7.1	+5.4	0.1	pk7: 1
#5Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	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
Oswaldo Osorio (OGILVIE)	22	20	30	50	60	172/263/293	121	255	5	2	36%	9%	61	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Randy Florentino 2022 · A	22	34	40→45	43→45	40	170/238/253	83	272	8	6	38%	8%	40	-3.1	191/245/278	87	263	9	6	29%	6%	48	-2.5	183/231/259	76	238	8	4	26%	5%	37	-1.0
✕Iverson Leonardo 2023 · A	21	37	44→45	49→50	40	186/254/299	114	273	12	9	35%	7%	57	-1.8	197/278/292	95	346	7	8	41%	8%	64	-1.3	149/272/225	76	351	3	4	50%	12%	46	-0.6
✕Jacob Wetzel 2023 · A	23	39→34	43→45	50	47	194/280/301	107	268	12	10	30%	9%	68	-1.0	192/268/302	110	281	9	13	32%	9%	63	-1.4	180/256/297	117	269	7	16	33%	9%	55	-1.0
✕Justin Brashear 2007 · A	22	41	44→30	48→30	42	206/263/323	117	283	12	5	30%	7%	65	-1.2	185/294/265	80	271	6	4	30%	13%	65	-1.2	153/297/214	61	217	4	1	27%	16%	56	-1.1
✕Daury Arias 2024 · A	22	38	40	50→45	48	188/270/276	88	252	8	9	27%	9%	58	-1.7	184/252/266	82	279	6	9	34%	7%	48	-2.5	118/186/167	49	192	4	10	38%	6%	-1	-2.0
✕Omar Martinez 2023 · A	22	40→37	42→45	42→40	49	196/285/296	101	266	10	5	28%	10%	68	-1.0	194/270/315	121	284	14	5	34%	9%	67	-1.1	176/253/289	113	268	15	1	38%	8%	53	-1.3
✕Gage Canning 2019 · A	22	42→37	45→40	50	37	207/261/334	127	314	12	8	37%	6%	67	-1.1	197/247/285	88	320	7	9	38%	5%	50	-2.3	193/244/272	79	313	6	8	38%	5%	42	-1.9
✕Marcus Greene Jr. 2017 · A	22	34	46→50	44→40	39	182/248/308	126	266	15	5	36%	7%	57	-1.8	208/266/323	115	283	12	4	30%	7%	66	-1.1	206/265/315	109	274	12	2	28%	7%	62	-0.6
✕Darrien Miller 2024 · A	23	39→42	44→45	48→45	47	194/289/310	116	258	12	6	28%	9%	74	-0.6	192/313/294	102	262	8	5	27%	11%	80	-0.2	179/320/285	107	245	9	4	27%	12%	79	-0.1
✕Carlos Soto 2021 · A	22	42	41→45	47→30	41	207/267/304	97	289	9	5	31%	6%	62	-1.4	193/273/308	115	277	10	3	31%	9%	66	-1.1	168/258/285	117	236	11	0	32%	10%	54	-0.8
✕Izaac Pacheco 2024 · A	21	37→40	43→50	46→45	39	186/244/295	109	281	11	6	36%	7%	51	-2.2	192/261/331	139	309	16	5	40%	8%	67	-1.1	185/263/344	159	294	20	3	41%	9%	69	-0.6
✕Michael Pérez 2015 · A	22	36	43→50	41→40	40	181/249/297	116	289	11	3	39%	8%	54	-2.0	193/251/289	96	268	8	4	29%	7%	53	-2.1	225/285/350	124	287	13	0	25%	7%	78	-0.1
✕Gavin Conticello 2024 · A	21	36→46	45	48→50	40	185/254/310	126	264	13	8	34%	7%	59	-1.6	219/279/344	125	300	11	8	29%	7%	76	-0.4	230/290/358	128	308	12	7	28%	7%	80	-0.1
✕Frank Rodriguez 2024 · A	22	35	42→45	47→30	38	180/236/279	99	250	10	4	32%	5%	45	-2.7	188/246/274	86	257	8	4	29%	6%	47	-2.5	183/244/267	84	241	9	1	27%	6%	43	-0.9
✕Yeicok Calderon 2013 · A	21	37	45→40	45	38	188/244/308	121	287	13	5	38%	7%	55	-2.0	195/241/308	113	318	12	5	40%	6%	53	-2.1	182/224/294	112	290	12	4	40%	5%	42	-1.0
✕Aaron Bracho 2022 · A	21	34→40	43→45	43→40	41	173/243/277	104	270	11	5	38%	8%	48	-2.5	187/254/305	118	266	13	4	33%	7%	58	-1.7	198/262/325	128	249	16	4	27%	7%	64	-0.7
✕Cole Roederer 2021 · A	21	39→33	43→45	51→50	42	193/261/303	109	286	10	12	34%	8%	60	-1.6	207/272/319	112	304	11	12	33%	7%	68	-1.0	183/257/295	112	268	12	11	34%	8%	56	-1.1
✕Cody Morissette 2023 · A	23	38→31	46→45	45→55	42	198/263/322	123	265	14	5	30%	7%	65	-1.2	185/237/301	116	246	13	11	30%	6%	51	-2.3	184/241/305	121	240	14	19	29%	6%	51	-1.4
✕Charles Mack 2022 · A	22	42	44→45	51→40	49	201/293/315	114	311	12	5	36%	12%	75	-0.5	181/246/286	105	307	10	6	41%	8%	50	-2.3	128/185/228	100	213	10	0	44%	6%	12	-1.8
✕Leandro Emiliani 2022 · A	22	37	42→45	46→30	40	182/258/281	99	292	10	4	39%	8%	54	-2.0	184/245/292	108	284	10	3	37%	7%	51	-2.2	169/231/276	107	257	11	1	37%	6%	41	-1.6

Oswaldo Osorio

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps