Drew Davies — OGILVIE

Drew Davies1B Daytona Tortugas

Age 20 L/R 6'3" / 185 lbs A HR +16%BB +6% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION405 act + 10 ros · stats below = ROS only

showingROS

wRC+†78

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP285

ISO79

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$4M ctrl surplus

Tools · ContractCON 35 / POW 25

Toolsscout grade

CONTACT35

scouting grade only

POWER25

scouting grade only

EYE60

scouting grade only

SPEED50

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	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Arb-1	$0.2M	—	—	—
2035	Arb-2	$0.4M	—	—	—
2036	Arb-3	$0.6M	—	—	—
Totals		$0.0M		$-3M	+$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)
2024	18	ROK	ACL Reds	—	127	98	21	4	0	2	26	35	2	1	0	214	389	316	705	102	306	28	20	335	113	+2	+0	—	—	+3	0.5
2024	18	INTL	Adelaide Giants	—	29	28	5	1	0	0	1	11	0	0	0	179	207	214	421	36	294	38	3	193	17	-3	+0	—	—	+1	-0.2
2025	19	A	Daytona Tortugas	—	184	147	35	6	0	2	33	40	0	6	3	238	378	320	698	82	306	22	18	322	104	+1	+0	—	—	+4	0.5
2025	19	ROK	ACL Reds	—	127	101	26	5	2	2	23	35	2	2	1	257	405	406	811	149	375	28	18	368	135	+5	+0	—	—	+3	0.8
2025	19	INTL	Adelaide Giants	—	145	127	35	9	0	1	17	35	1	0	1	276	366	370	736	94	374	24	12	337	114	+2	-0	—	—	+3	0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	18	ROK MLE	ACL Reds	—	127	109	15	2	0	1	15	51	2	1	0	138	254	183	437	46	244	40	12	224	38	-9	+0	—	—	+3	-0.7
2025	19	A MLE	Daytona Tortugas	—	184	154	30	5	0	2	26	56	0	6	3	195	311	266	577	71	271	30	14	262	63	-8	+0	—	—	+4	-0.4
2025	19	ROK MLE	ACL Reds	—	127	109	19	4	1	1	15	50	2	2	1	174	286	257	543	83	295	39	12	247	53	-7	+0	—	—	+3	-0.4
2024	18	ROK MLE	2 teams	—	156	134	20	3	0	2	19	63	2	1	0	149	265	216	481	67	257	40	12	224	38	—	—	—	—	—	—
2024	18	ROK RAW	2 teams	—	156	126	26	5	0	2	27	46	2	1	0	206	355	294	648	87	304	29	17	308	38	—	—	—	—	—	—
2025	19	A MLE	3 teams	—	456	387	71	12	2	4	61	156	3	8	5	183	299	256	555	72	291	34	13	256	59	—	—	—	—	—	—
2025	19	A RAW	3 teams	—	456	375	96	20	2	5	73	110	3	8	5	256	381	360	741	104	346	24	16	340	59	—	—	—	—	—	—
2024	18	ROK MLE	2 teams	—	156	134	20	3	0	2	19	63	2	1	0	149	265	216	481	67	244	40	12	224	38	—	—	—	—	—	—
2025	19	A MLE	3 teams	—	456	389	71	12	2	4	61	156	3	8	5	183	299	254	554	72	281	34	13	256	59	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	18	ROK MLE	2 teams	—	156	134	20	3	0	2	19	63	2	1	0	149	265	216	481	67	244	40	12	224	38	—	—	—	—	—	—
2025	19	A MLE	3 teams	—	456	389	71	12	2	4	61	156	3	8	5	183	299	254	554	72	281	34	13	256	59	—	—	—	—	—	—
YTD	20	A MLE	CIN	—	405	333	77	16	2	6	52	126	10	5	4	231	352	345	697	114	340	31	13	310	96	-2	-1	+0	-7	+9	-0.1
▸ 2026 season
YTD	20	A RAW	CIN	—	405	316	88	18	2	7	69	89	10	5	4	278	423	415	837	136	355	22	17	374	96	—	—	—	—	—	—
ROS	20	A MLE	CIN	0%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		282	30	10	283	78	-0	+0	+0	-0	+0	-0.0
TOT	20	A MLE	CIN	—	415	342	78	16	2	6	53	129	10	5	4	228	348	339	687	111	335	31	13	309	95	-2	-1	+0	-7	+9	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	CIN	34%	438	372	75	15	2	7	55	130	8	4	2	202	317	309	626	108	283	30	13	288	81	-10	+0	+0	-8	+9	-0.8
2028	22	MLB MLE	CIN	48%	490	417	87	17	2	9	61	140	9	4	3	209	322	324	646	115	285	29	12	297	87	-7	-0	+0	-9	+11	-0.6
2029	23	MLB MLE	CIN	54%	529	450	96	19	2	11	65	148	9	5	3	213	324	338	662	124	286	28	12	303	91	-6	-0	+0	-9	+11	-0.4
2030	24	MLB MLE	CIN	55%	565	480	103	20	2	12	70	156	10	5	3	215	327	340	666	125	287	28	12	306	93	-5	-0	+0	-10	+12	-0.3
2031	25	MLB MLE	CIN	56%	577	490	105	20	2	13	72	158	10	5	3	214	327	343	670	129	287	27	12	308	94	-4	-0	+0	-10	+13	-0.2
2032	26	MLB MLE	CIN	56%	582	494	107	21	2	13	73	160	10	5	3	217	329	346	675	130	287	27	13	308	95	-4	-0	+0	-10	+13	-0.2
2033	27	MLB MLE	CIN	55%	580	492	105	20	2	13	73	160	10	5	3	213	327	341	668	128	287	28	13	308	95	-4	-0	+0	-10	+13	-0.2
2034	28	MLB MLE	CIN	55%	574	486	104	20	2	13	73	159	10	5	3	214	329	344	672	130	286	28	13	307	94	-4	-0	-1	-10	+12	-0.3
2035	29	MLB MLE	CIN	58%	564	477	101	19	2	12	72	157	10	5	3	212	327	335	663	124	285	28	13	305	93	-5	-0	-1	-10	+12	-0.4
2036	30	MLB MLE	CIN	60%	553	469	99	19	2	12	70	155	9	4	2	211	325	337	662	126	284	28	13	303	91	-6	+0	-2	-10	+12	-0.6
2037	31	MLB MLE	CIN	62%	538	456	95	18	2	11	68	153	9	3	2	208	323	329	652	121	281	28	13	299	88	-8	-0	-3	-10	+12	-0.9
2027	21	MLB CTX	CIN	34%	151	128	27	5	1	3	19	45	3	1	1	211	327	336	663	125	286	30	13	279	81	-3	-0	+0	-3	+3	-0.3
2028	22	MLB CTX	CIN	48%	237	201	42	8	1	5	30	68	4	2	1	209	323	333	657	124	288	29	13	289	87	-4	+0	+0	-4	+5	-0.3
2029	23	MLB CTX	CIN	54%	287	245	52	10	1	6	35	80	5	3	2	212	323	335	658	122	289	28	12	295	91	-3	-0	+0	-5	+6	-0.2
2030	24	MLB CTX	CIN	55%	313	266	57	11	1	7	39	86	5	3	2	214	326	342	668	128	290	27	12	298	93	-3	-0	+0	-6	+7	-0.2
2031	25	MLB CTX	CIN	56%	323	274	61	12	1	8	40	89	6	3	2	223	334	361	696	139	290	28	12	300	94	-2	-0	+0	-6	+7	-0.1
2032	26	MLB CTX	CIN	56%	327	277	61	12	1	8	41	90	6	3	2	220	333	357	691	137	290	28	13	301	95	-2	-0	+0	-6	+7	-0.1
2033	27	MLB CTX	CIN	55%	321	272	60	12	1	8	40	88	6	3	2	221	333	360	694	140	290	27	12	301	95	-2	-0	+0	-6	+7	-0.1
2034	28	MLB CTX	CIN	55%	315	267	58	11	1	8	40	87	5	3	2	217	330	356	686	139	289	28	13	300	94	-2	-0	-0	-6	+7	-0.2
2035	29	MLB CTX	CIN	58%	327	276	61	12	1	8	42	91	6	3	2	221	336	359	695	138	288	28	13	298	93	-3	-0	-1	-6	+7	-0.3
2036	30	MLB CTX	CIN	60%	333	282	61	12	1	8	42	94	6	2	1	216	330	351	681	135	287	28	13	295	91	-4	+0	-1	-6	+7	-0.4
2037	31	MLB CTX	CIN	62%	332	281	59	11	1	7	42	94	6	2	1	210	325	331	656	121	284	28	13	291	88	-5	+0	-2	-6	+7	-0.5
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3266	2769	599	116	11	76	410	912	58	28	18	216	330	349	678	132	291	28	13	296	88	-32	-2	-4	-58	+71	-2.6
/ 162G	—	A+C		—	650	551	119	23	2	15	82	182	12	6	4	216	331	347	677	131	291	28	13	296	88	-6	-0	-1	-12	+14	-0.5
Career	—	MLE		—	6612	5613	1169	223	24	132	833	1898	109	59	35	208	322	327	649	119	287	29	13	298	88	-61	-2	-7	-107	+130	-4.8
/ 162G	—	MLE		—	650	552	115	22	2	13	82	187	11	6	3	208	322	326	649	118	287	29	13	298	88	-7	-0	-1	-12	+14	-0.5

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
#2Michael 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
#3Daniel Vogelbachlast yr '24 career totals — 7 seasons, 1,913 PA	2.9	1,913	81	0	220	342	411	-29	-16	4.4	4.4
/162	664	28	0	-10.2	-5.6	1.5	pk7: 4
#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
#6Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.4	3,586	73	31	209	319	329	-25	+0	2.7	2.9
/162	664	14	6	-4.7	+0.0	0.5	pk7: 3

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
Drew Davies (OGILVIE)	20	35	25	50	60	193/312/287	94	282	4	4	30%	13%	78	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jose Quero 2019 · A	20	38	39→40	44→30	44	188/251/268	79	246	7	3	26%	7%	48	-2.5	205/261/316	111	263	10	6	25%	7%	62	-1.4	196/247/344	148	225	15	4	21%	6%	68	-0.2
✕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
✕Vicmal De La Cruz 2014 · A	20	39	38→40	47→50	39	189/242/268	78	269	6	5	31%	6%	44	-2.8	186/245/258	72	280	3	6	32%	6%	43	-2.8	147/214/205	58	225	0	6	32%	6%	18	-1.5
✕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
✕Leandro Pineda 2022 · A	20	35→45	37→45	43→45	46	171/257/239	68	251	4	7	31%	9%	45	-2.7	189/259/292	103	281	8	5	33%	7%	57	-1.8	210/283/339	129	268	13	5	26%	7%	74	-0.4
✕Oswal Leones 2021 · A	20	41	36→30	46→50	46	196/259/262	66	262	4	12	25%	7%	49	-2.4	198/260/265	67	297	3	8	31%	7%	50	-2.3	180/247/237	57	275	2	9	33%	7%	36	-1.1
✕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
✕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
✕Freizer Pedron 2007 · A	20	44	37→40	49→55	42	207/263/283	75	275	4	12	25%	6%	55	-1.9	229/295/302	73	307	3	16	24%	7%	72	-0.7	262/328/337	75	341	2	29	22%	6%	88	+0.2
✕Nelson Quiroz 2022 · A	20	45	37→40	47→40	49	212/281/290	78	265	3	4	20%	8%	64	-1.3	230/289/333	103	271	9	4	18%	7%	77	-0.3	263/309/326	63	295	2	0	11%	6%	77	-0.1
✕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
✕Luis Barrera 2015 · A	19	35→45	40→45	49→50	44	177/241/269	92	232	7	7	27%	7%	45	-2.7	205/249/284	79	288	4	8	29%	5%	50	-2.3	247/292/355	108	317	4	17	23%	5%	79	-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
✕Richard Rodriguez 2012 · A	19	39	36→30	48→50	45	186/255/247	61	260	3	12	28%	8%	45	-2.7	210/266/251	41	261	1	14	19%	7%	49	-2.4	233/291/254	20	278	0	16	15%	7%	56	-0.6
✕Kelvin Alarcon 2019 · A	20	43	35→30	48→55	51	200/292/258	58	284	3	8	28%	11%	62	-1.4	210/273/275	65	326	3	8	33%	7%	57	-1.8	203/265/239	35	320	0	8	34%	8%	43	-0.6
✕Fernando Diaz 2015 · A	20	42	35→30	50→45	53	192/296/252	60	254	2	8	22%	10%	63	-1.4	195/292/256	61	260	3	10	24%	10%	62	-1.4	163/305/196	33	199	4	16	18%	13%	54	-0.4
✕Daniel Vellojin 2019 · A	19	39	39→45	47→45	48	189/268/273	83	260	6	6	28%	9%	56	-1.9	213/303/311	98	271	7	8	22%	10%	78	-0.3	194/297/306	112	259	11	6	27%	12%	72	-0.3
✕Hector Hernandez 2016 · A	20	41	35→30	46→45	45	192/262/254	62	262	2	7	26%	7%	49	-2.4	190/260/256	66	301	3	8	35%	8%	49	-2.4	114/195/149	34	227	0	10	45%	8%	1	-1.3
✕Luis Valenzuela 2014 · A	20	41	37→45	53→45	46	193/250/268	75	240	4	9	21%	7%	47	-2.6	229/258/316	87	295	5	8	23%	4%	60	-1.6	262/284/362	100	318	5	7	19%	2%	77	-0.1

Career Stats + Projections

Career Comps

Career Path Comps