Bryce Rainer — OGILVIE

Bryce RainerSS West Michigan Whitecaps

Age 21 L/R 6'3" / 195 lbs A+ HR -8% Svc 0.0 · Ctrl thru 2032

2026 ROS PROJECTION478 act + 10 ros · stats below = ROS only

showingROS

wRC+†84

AVG/OBP/SLG—

PA1

HR0

K%40

BB%10

BABIP349

ISO160

MLB%11%

Value2026 · WAR

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

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$48M ctrl surplus

Tools · ContractCON 50 / POW 59

Toolsscout grade

CONTACT50

scouting grade only

POWER59

scouting grade only

EYE53

scouting grade only

SPEED52

scouting grade only

DEFENSE54

scouting grade only

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

Status MiLB

MLB Debut 2027

Service 0 yrs (est)

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2027
2027	Pre-Arb	$0.8M	+0.8	$3M	+$2M
2028	Pre-Arb	$0.8M	+1.5	$10M	+$10M
2029	Pre-Arb	$0.8M	+1.8	$11M	+$11M
2030	Arb-1	$6M	+2.0	$12M	+$8M
2031	Arb-2	$10M	+2.0	$11M	+$5M
2032	Arb-3	$14M	+2.0	$10M	+$3M
Totals		$32M		$58M	+$38M

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)
2025	20	A	Lakeland Flying Tigers	—	149	125	36	5	0	5	20	33	1	9	3	288	390	448	838	160	344	22	13	369	136	+6	+1	—	—	+3	1.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	20	A MLE	Lakeland Flying Tigers	—	149	129	31	5	0	5	16	47	1	9	3	240	329	395	724	155	311	32	11	312	97	-0	+1	—	—	+3	0.3
2025	20	A MLE	Lakeland Flying Tigers	—	149	129	31	5	0	5	16	47	1	9	3	240	329	395	724	155	325	32	11	312	97	—	—	—	—	—	—
2025	20	A RAW	Lakeland Flying Tigers	—	149	125	36	5	0	5	20	33	1	9	3	288	390	448	838	160	344	22	13	369	97	—	—	—	—	—	—
2025	20	A MLE	Lakeland Flying Tigers	—	149	131	31	5	0	5	16	47	1	9	3	237	329	389	718	153	311	32	11	312	97	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	20	A MLE	Lakeland Flying Tigers	—	149	131	31	5	0	5	16	47	1	9	3	237	329	389	718	153	311	32	11	312	97	—	—	—	—	—	—
YTD	21	A+ MLE	DET	—	478	424	81	18	1	13	49	232	2	17	4	191	278	330	608	139	374	49	10	269	68	-18	+2	+0	+5	+10	-0.1
▸ 2026 season
YTD	21	A RAW	DET	—	49	42	7	3	0	1	6	20	0	4	0	167	271	310	580	143	273	41	12	262	68	—	—	—	—	—	—
YTD	21	A+ RAW	DET	—	429	362	98	21	1	18	63	151	2	13	4	271	382	483	865	213	410	35	15	382	68	—	—	—	—	—	—
ROS	21	A+ MLE	DET	11%	10	9	1	0	0	0	1	4	0	0	0	111	200	111	311		356	40	10	293	84	-0	+0	+0	+0	+0	0.0
▸ 2026 season — projected rest
ROS	21	MLB CTX	DET	11%	1	1	0	0	0	0	0	0	0	0	0						349	0	0	284	84	-0	+0	+0	+0	+0	0.0
FULL	21	MLB A+C	DET	—	1	1	0	0	0	0	0	0	0	0	0							0	0	284	69	-0	+0	+0	+0	+0	-0.0
TOT	21	A+ MLE	DET	—	488	433	82	18	1	13	50	236	2	17	4	189	276	326	602	136	369	48	10	270	69	-18	+2	+0	+5	+11	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	DET	59%	516	456	100	20	2	17	52	212	3	11	3	219	303	384	687	164	352	41	10	303	91	-5	+1	+1	+6	+11	1.4
2028	23	MLB MLE	DET	76%	558	493	111	22	2	20	56	219	4	12	3	225	309	400	709	174	347	39	10	313	98	-2	+1	+2	+6	+12	2.0
2029	24	MLB MLE	DET	80%	570	504	115	22	2	22	57	217	4	12	3	228	312	411	722	183	344	38	10	319	102	+1	+1	+2	+6	+12	2.3
2030	25	MLB MLE	DET	81%	569	503	115	22	2	22	57	214	4	12	3	229	312	412	724	183	343	38	10	322	104	+3	+1	+2	+6	+12	2.4
2031	26	MLB MLE	DET	82%	564	498	115	22	2	23	57	212	4	12	3	231	315	422	737	191	343	38	10	324	105	+4	+1	+2	+6	+12	2.5
2032	27	MLB MLE	DET	80%	557	491	113	22	2	22	57	210	4	12	3	230	315	418	733	187	343	38	10	324	105	+4	+1	+2	+6	+12	2.5
2033	28	MLB MLE	DET	80%	549	483	111	21	2	22	57	208	4	11	3	230	316	418	734	188	343	38	10	323	105	+3	+1	+1	+6	+12	2.3
2034	29	MLB MLE	DET	77%	539	474	108	21	2	21	56	205	4	10	3	228	315	414	728	186	340	38	10	321	103	+2	+1	+0	+6	+12	2.1
2035	30	MLB MLE	DET	76%	530	466	104	20	1	21	55	203	4	9	2	223	310	406	716	182	337	38	10	317	101	+0	+1	-1	+6	+11	1.8
2036	31	MLB MLE	DET	76%	520	458	100	19	1	20	54	201	3	8	2	218	305	395	700	177	333	39	10	312	98	-1	+1	-1	+6	+11	1.5
2037	32	MLB MLE	DET	75%	510	449	96	18	1	19	53	199	3	6	2	214	301	385	686	171	328	39	10	306	93	-4	+0	-2	+5	+11	1.1
2038	33	MLB MLE	DET	81%	415	367	77	14	1	15	43	164	2	4	1	210	296	376	672	166	321	40	10	299	88	-6	+0	-3	+4	+9	0.5
2039	34	MLB MLE	DET	77%	369	326	65	11	1	13	38	148	2	3	1	199	287	359	646	160	313	40	10	289	82	-8	+0	-4	+4	+8	0.0
2027	22	MLB CTX	DET	59%	306	270	58	11	1	10	31	125	2	7	2	215	300	374	674	159	345	41	10	293	91	-3	+1	+1	+3	+7	0.8
2028	23	MLB CTX	DET	76%	423	375	82	16	1	15	42	166	3	9	2	219	302	387	689	168	340	39	10	302	98	-1	+1	+1	+5	+9	1.5
2029	24	MLB CTX	DET	80%	453	402	88	17	1	16	45	173	3	10	3	219	302	386	688	167	338	38	10	308	102	+1	+1	+1	+5	+10	1.8
2030	25	MLB CTX	DET	81%	461	409	91	17	2	17	46	173	3	10	3	222	306	399	704	176	336	38	10	311	104	+2	+1	+1	+5	+10	2.0
2031	26	MLB CTX	DET	82%	460	407	92	17	2	18	47	173	3	10	3	226	311	410	721	184	336	38	10	313	105	+3	+1	+1	+5	+10	2.0
2032	27	MLB CTX	DET	80%	447	395	88	17	1	17	46	168	3	10	3	223	309	400	709	177	336	38	10	313	105	+3	+1	+1	+5	+10	2.0
2033	28	MLB CTX	DET	80%	437	386	86	16	1	17	45	165	3	9	2	223	309	402	710	179	336	38	10	312	105	+3	+1	+1	+5	+9	1.9
2034	29	MLB CTX	DET	77%	417	368	81	15	1	16	43	159	3	8	2	220	307	397	704	177	333	38	10	309	103	+2	+1	+0	+4	+9	1.6
2035	30	MLB CTX	DET	76%	404	356	78	15	1	15	42	155	3	7	2	219	307	393	700	174	331	38	10	306	101	+0	+1	-0	+4	+9	1.4
2036	31	MLB CTX	DET	76%	394	347	74	14	1	14	41	152	3	6	2	213	302	380	682	167	327	39	10	302	98	-1	+0	-1	+4	+9	1.1
2037	32	MLB CTX	DET	75%	384	339	71	13	1	14	40	150	2	5	1	209	297	378	674	168	321	39	10	296	93	-3	+1	-2	+4	+8	0.9
2038	33	MLB CTX	DET	81%	338	298	61	11	1	12	35	134	2	3	1	205	293	369	662	164	315	40	10	289	88	-5	+0	-2	+4	+7	0.4
2039	34	MLB CTX	DET	77%	284	251	50	9	1	9	29	114	2	2	1	199	287	351	638	151	307	40	10	280	82	-6	+0	-3	+3	+6	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5209	4604	1000	188	15	190	532	2007	35	96	27	217	303	388	691	171	333	39	10	304	99	-6	+8	-1	+56	+113	17.4
/ 162G	—	A+C		—	650	575	125	23	2	24	66	250	4	12	3	217	302	390	692	172	332	38	10	304	99	-1	+1	-0	+7	+14	2.2
Career	—	MLE		—	6925	6106	1362	259	21	262	709	2663	46	131	35	223	309	401	710	178	342	38	10	314	99	-9	+12	-1	+73	+147	22.5
/ 162G	—	MLE		—	650	573	128	24	2	25	67	250	4	12	3	223	309	403	712	180	341	38	10	314	99	-1	+1	-0	+7	+14	2.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	7.9	5,232	199	95	223	305	402	+54	+17	20.1	17.1
/162	664	25	12	+6.9	+2.1	2.5	pk7: 14
#1Bill Halllast yr '11 career totals — 9 seasons, 3,621 PA	5.5	3,621	123	62	249	308	437	+22	+7	15.9	16.6
/162	664	23	11	+4.1	+1.3	2.9	pk7: 17
#2John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#3Rougned Odorlast yr '23 career totals — 10 seasons, 4,424 PA	6.7	4,424	178	70	230	288	422	+16	+32	15.2	15.0
/162	664	27	11	+2.4	+4.9	2.3	pk7: 15
#4Jarrod Saltalamacchialast yr '16 career totals — 9 seasons, 3,127 PA	4.7	3,127	110	5	235	308	414	+56	-10	14.1	14.8
/162	664	23	1	+11.9	-2.1	3.0	pk7: 16
#5Khalil Greenelast yr '09 career totals — 7 seasons, 2,835 PA	4.3	2,835	90	25	245	302	422	+30	+14	13.0	13.0
/162	664	21	6	+7.1	+3.2	3.0	pk7: 13
#6Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12

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
Bryce Rainer (OGILVIE)	21	41→50	50→59	54→52	53	207/291/355	148	356	7	7	43%	10%	84	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Colt Keith 2023 · A	21	48→54	47→55	53→45	45	235/299/375	141	327	14	8	31%	8%	90	+0.6	251/308/406	155	312	17	5	24%	7%	101	+1.4	256/316/410	154	310	18	4	23%	8%	102	+1.3
●Edouard Julien 2022 · A	23	46→55	49→50	54→50	53	213/328/368	156	341	16	20	38%	14%	101	+1.4	236/342/386	150	352	17	14	33%	13%	109	+2.0	234/342/380	146	343	17	11	33%	13%	106	+1.6
●Ian Stewart 2006 · A	21	45→52	50→60	46→45	43	226/288/390	164	303	17	4	30%	7%	90	+0.6	238/299/394	156	311	14	6	27%	7%	95	+0.9	239/315/432	193	304	23	9	28%	9%	107	+1.6
✕Jaff Decker 2011 · A	21	46→49	54→55	45→55	51	235/324/415	180	304	22	7	29%	10%	109	+2.0	209/292/354	145	278	16	9	29%	10%	84	+0.1	221/295/327	106	285	9	13	24%	9%	76	-0.3
✕Heriberto Hernández 2021 · A	21	46→48	51→60	46→50	45	228/304/400	172	318	18	6	32%	9%	99	+1.2	206/287/349	143	328	16	6	39%	9%	81	-0.1	219/301/418	199	277	26	10	30%	9%	100	+1.0
●Ryan McMahon 2016 · A	21	46→56	50→55	39→45	38	226/281/386	160	329	16	5	35%	6%	86	+0.3	237/289/380	143	335	13	8	31%	6%	87	+0.4	230/313/394	163	297	19	6	28%	10%	99	+1.3
✕Scott Moore 2006 · A	22	46→51	49→55	50	40	225/286/377	151	329	17	15	35%	7%	86	+0.3	224/286/377	153	303	18	9	31%	7%	86	+0.3	237/304/377	140	291	15	5	23%	7%	91	+0.5
✕Brett Jackson 2010 · A	21	48→51	50	56→55	39	235/298/387	152	337	17	17	34%	6%	93	+0.8	225/299/375	150	332	14	20	34%	9%	91	+0.6	213/291/369	157	324	15	21	36%	9%	84	+0.2
✕Derek Norris 2010 · A	21	43→53	51→55	45→50	48	223/303/383	161	292	19	5	30%	10%	95	+0.9	204/301/365	161	275	19	9	31%	11%	90	+0.6	258/336/412	153	316	16	5	22%	10%	109	+1.5
●Brett Baty 2022 · AA	22	52→56	47→50	46→45	44	248/314/389	141	351	15	8	32%	8%	99	+1.3	246/312/399	153	325	19	5	29%	8%	101	+1.4	237/306/388	151	302	21	3	28%	8%	93	+0.7
✕Edgar Quero 2023 · A	20	48→57	51→50	47→40	51	240/336/412	172	309	18	8	27%	10%	114	+2.3	241/321/361	120	299	12	3	22%	9%	96	+1.0	245/321/344	99	301	10	1	21%	9%	90	+0.4
✕Marcelo Mayer 2023 · A	20	47→46	48→50	55→50	45	222/298/370	148	338	15	13	36%	9%	89	+0.5	223/278/365	142	301	15	12	30%	7%	80	-0.1	233/286/362	129	291	13	10	24%	6%	80	-0.0
✕Jimmy Crooks 2023 · A	22	48→45	47→50	51→40	43	228/313/368	140	332	14	6	33%	8%	95	+0.9	233/294/354	121	326	12	4	30%	7%	84	+0.1	229/298/368	139	321	17	2	32%	7%	86	+0.2
✕Eddys Leonard 2022 · A	21	46	51→50	48→50	42	231/300/392	161	317	18	7	32%	7%	95	+1.0	220/283/359	139	289	15	6	28%	6%	82	-0.0	211/274/345	134	275	14	6	28%	5%	71	-0.6
●Zack Gelof 2022 · A	22	48→50	49→55	54→55	43	235/299/383	148	333	16	17	33%	8%	93	+0.8	233/296/404	171	326	21	20	33%	8%	97	+1.1	229/294/405	176	316	22	24	33%	8%	93	+0.7
●Tyler Soderstrom 2022 · A	20	50→53	50→60	47→40	41	244/303/406	162	341	17	6	32%	7%	99	+1.3	218/270/398	180	289	24	2	32%	6%	86	+0.3	251/333/462	211	292	26	4	23%	10%	119	+2.2
✕Kirk Nieuwenhuis 2010 · AA	22	49→50	47→60	51→50	43	238/304/389	150	330	13	11	30%	7%	95	+1.0	239/293/383	144	332	13	10	30%	7%	90	+0.6	220/302/410	191	303	20	11	32%	10%	96	+0.6
✕George Valera 2022 · AA	21	43→40	51→50	49→45	51	217/316/377	160	294	20	12	32%	11%	98	+1.2	207/288/352	145	288	17	6	32%	10%	82	-0.0	215/282/349	134	280	16	5	28%	8%	76	-0.2
✕Eric Arce 2012 · A	20	41	55→60	47→30	47	215/313/403	188	288	23	4	32%	10%	103	+1.6	199/289/354	155	336	18	4	42%	10%	83	+0.1	142/252/289	146	259	20	0	49%	11%	53	-0.5
✕Emmanuel Rodriguez 2023 · A	20	45→35	53→45	51→50	53	205/333/384	178	351	20	15	42%	15%	106	+1.8	206/328/358	152	351	15	16	39%	15%	99	+1.2	223/348/373	150	350	16	18	35%	15%	106	+0.7

Career Stats + Projections

Career Comps

Career Path Comps