Rayne Doncon — OGILVIE

Rayne Doncon3B Cedar Rapids Kernels

Age 22 R/R 6'1" / 176 lbs A+ BB +3% Svc 0.0 · Ctrl thru 2035 peak 0.4 · 2030

wRC+†36

AVG/OBP/SLG.198 / .264 / .325

PA199

HR5

K%30

BB%7

MLB%0%

Scouting · now → future

HIT

33↗38

PWR

42↗47

SPD

45↗50

EYE

48↗53

trajectory · 10 yrs

0.4peak

2030

Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Arb-2	$0.9M	+0.4	$2M	+$0.9M
2031	Arb-3	$0.9M	+0.4	$2M	+$1.0M
2032	Ext / FA-deal	$0.9M	+0.3	$1M	+$0.5M
2033	Ext / FA-deal	$0.2M	+0.1	$0.5M	+$0.2M
2034	Ext / FA-deal	$0.4M	—	—	—
2035	Ext / FA-deal	$0.6M	—	—	—
Totals		$4M		$4M	+$0.0M

Career Projections (MLE)

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	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
2021	17	ROK	DSL LAD Bautista	119	106	20	3	1	2	9	43	2	7	1	.189	.265	.292	.557	.104	.286	36	8	.236	39	-8	+1	+0	+0	+3	-0.4
2022	18	ROK	2 teams	258	245	49	13	1	10	12	62	0	6	2	.200	.237	.384	.621	.184	.224	24	5	.263	59	-12	+0	+0	+1	+7	-0.3
2023	19	A	Rancho Cucamonga Quakes	473	437	76	16	1	12	26	141	6	3	2	.174	.230	.297	.528	.124	.222	30	5	.228	33	-36	-0	+0	+2	+13	-2.2
2024	20	A+	2 teams	407	368	70	18	2	8	32	120	4	6	4	.190	.262	.315	.578	.125	.255	29	8	.258	56	-20	-0	+0	+1	+12	-0.8
2025	21	A+	2 teams	176	161	23	3	1	3	14	57	0	2	0	.143	.211	.230	.441	.087	.196	32	8	.205	15	-17	+0	+0	+1	+5	-1.1
▸ 2026 Season (actual · ROS · total)
2026	22	A+	Cedar Rapids Kernels	50	48	5	1	0	2	2	18	0	0	0	.104	.140	.250	.390	.146	.107	36	4	.158	-21	-7	+0	+0	+0	+1	-0.5
ROS	22	MLB	MIN	149	136	27	6	1	4	11	46	1	1	1	.199	.264	.346	.609	.147	.251	31	7	.256	54	-8	-0	+0	+1	+4	-0.3
TOT	22	MLB	MIN	199	184	32	7	1	6	13	64	1	1	1	.174	.232	.321	.553	.147	.226	32	7	.232	36	-14	-0	+0	+1	+6	-0.9
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	MIN	250	227	46	10	1	7	19	65	2	3	1	.203	.270	.348	.618	.145	.244	26	8	.272	67	-9	+0	+0	+1	+7	-0.1
2028	24	MLB 26%	MIN	345	311	64	14	1	10	28	87	3	4	2	.206	.278	.354	.631	.148	.248	25	8	.280	73	-11	+0	+0	+1	+10	0.0
2029	25	MLB 44%	MIN	401	362	76	16	2	12	33	100	3	5	2	.210	.281	.365	.646	.155	.251	25	8	.286	77	-10	+0	+0	+1	+11	0.3
2030	26	MLB 59%	MIN	436	393	82	17	2	13	37	109	3	6	2	.209	.282	.361	.643	.153	.253	25	8	.288	79	-10	+0	+0	+2	+12	0.4
2031	27	MLB 76%	MIN	452	406	85	18	2	13	39	113	4	6	2	.209	.285	.360	.645	.150	.253	25	9	.289	79	-11	+0	+0	+2	+13	0.4
2032	28	MLB 84%	MIN	458	411	85	18	2	13	40	115	4	6	2	.207	.284	.355	.639	.148	.252	25	9	.287	78	-11	+0	-1	+2	+13	0.3
2033	29	MLB 90%	MIN	455	409	85	18	2	13	40	116	3	6	2	.208	.283	.357	.640	.149	.251	25	9	.285	77	-12	+0	-1	+2	+13	0.1
2034	30	MLB	MIN	448	403	82	17	2	13	39	116	3	5	1	.203	.279	.352	.631	.149	.250	26	9	.282	74	-13	+1	-2	+2	+13	-0.0
2035	31	MLB	MIN	437	393	80	17	2	12	38	115	3	4	1	.204	.279	.349	.627	.145	.248	26	9	.278	71	-14	+0	-3	+2	+12	-0.3
2036	32	MLB	MIN	420	377	74	16	1	11	37	112	3	2	0	.196	.273	.332	.605	.135	.246	27	9	.274	68	-15	+0	-4	+1	+12	-0.5
2037	33	MLB	MIN	392	352	68	14	1	10	34	108	3	2	0	.193	.270	.324	.594	.131	.244	28	9	.268	63	-16	+0	-4	+1	+11	-0.8
2038	34	MLB	MIN	348	313	58	12	1	8	30	98	2	1	0	.185	.261	.307	.568	.121	.242	28	9	.262	58	-16	+0	-5	+1	+10	-1.0
▸ Career Totals (MLE all levels + projections)
Career	—			6424	5810	1150	246	26	174	518	1723	49	75	25	.198	.269	.339	.608	.141	.247	27	8	.271	65	-251	+5	-20	+23	+182	-6.2
/ 162G	—			650	588	117	25	3	18	52	174	5	8	3	.199	.270	.344	.613	.145	.247	27	8	.271	65	-25	+0	-2	+2	+18	-0.6

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2021	17	ROK	DSL LAD Bautista	119	99	28	4	2	3	16	28	2	7	1	.283	.393	.455	.848	.172	.357	24	13	.373	144	+6	+1	—	—	+3	1.0
2022	18	A	Rancho Cucamonga Quakes	43	40	10	0	0	3	3	5	0	0	0	.250	.302	.475	.777	.225	.219	12	7	.341	119	+1	+0	—	—	+1	0.2
2022	18	ROK	ACL Dodgers	215	199	51	16	1	9	15	38	0	6	2	.256	.308	.482	.791	.226	.275	18	7	.344	121	+5	+0	—	—	+6	1.2
2023	19	A	Rancho Cucamonga Quakes	473	427	92	21	1	14	36	103	6	3	2	.215	.286	.368	.653	.152	.248	22	8	.292	81	-10	-0	—	—	+13	0.3
2024	20	A+	Cedar Rapids Kernels	244	217	51	11	3	7	24	51	3	3	3	.235	.320	.410	.730	.175	.277	21	10	.326	108	+2	-1	—	—	+7	0.9
2024	20	A	Fort Myers Mighty Mussels	163	138	39	13	0	4	21	38	1	3	1	.283	.381	.464	.845	.181	.354	23	13	.370	141	+8	+0	—	—	+5	1.3
2025	21	A+	Cedar Rapids Kernels	110	96	14	1	1	3	13	32	0	0	0	.146	.248	.271	.519	.125	.177	29	12	.240	42	-7	+0	—	—	+3	-0.4
2025	21	A	Fort Myers Mighty Mussels	66	59	15	3	0	1	7	11	0	2	0	.254	.333	.356	.689	.102	.298	17	11	.315	99	-0	+0	—	—	+2	0.2

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
Rayne Doncon (OGILVIE)	22	33→38	42→47	45→50	53	.198/.264/.325	.127	.267	5	2	30%	7%	63	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Adam Abraham 2009 · A	22	39→47	44→50	49→40	43	.199/.261/.312	.112	.263	11	5	28%	7%	57	-1.2	.215/.270/.328	.113	.270	10	4	23%	6%	65	-0.7	.222/.283/.344	.122	.281	12	2	24%	7%	72	-0.1
✕Yu Chang 2018 · AA	22	37→44	49→50	49→45	39	.195/.252/.345	.150	.266	17	9	33%	6%	63	-0.9	.209/.268/.346	.137	.291	14	7	32%	7%	69	-0.4	.213/.268/.374	.161	.271	20	6	29%	6%	75	-0.0
✕Kevin Padlo 2018 · A	22	36→40	45→55	44→50	48	.184/.270/.312	.128	.257	13	8	32%	10%	62	-0.9	.195/.278/.343	.148	.287	15	8	35%	9%	73	-0.1	.191/.263/.361	.170	.260	21	12	35%	8%	69	-0.3
✕Marcus Greene Jr. 2017 · A	22	35	46→50	45→40	40	.185/.251/.313	.128	.265	15	5	35%	7%	53	-1.5	.209/.268/.329	.120	.279	13	4	28%	7%	65	-0.7	.211/.271/.321	.110	.275	12	2	27%	7%	61	-0.4
✕Alexander Campos 2022 · A	22	43	42→40	46→45	48	.209/.289/.317	.108	.281	9	6	28%	9%	70	-0.3	.221/.304/.311	.090	.312	8	6	29%	9%	75	-0.0	.236/.329/.308	.072	.330	7	6	28%	11%	83	+0.2
✕Jabari Henry 2013 · A	22	42→41	46→55	49→45	44	.212/.273/.344	.133	.277	13	7	28%	7%	70	-0.3	.209/.287/.363	.154	.271	17	6	28%	9%	82	+0.5	.193/.280/.360	.167	.251	20	6	30%	10%	75	-0.0
✕Tyler Kolodny 2010 · A	22	40→34	44→45	49→50	40	.200/.267/.320	.119	.267	12	8	29%	6%	63	-0.9	.206/.277/.341	.135	.271	14	9	29%	6%	72	-0.2	.206/.284/.354	.148	.258	17	10	26%	5%	76	+0.0
●Cody Freeman 2023 · A	22	40→50	43→50	48→50	45	.202/.262/.307	.106	.239	12	9	21%	6%	56	-1.3	.214/.261/.345	.131	.252	15	9	21%	5%	66	-0.6	.230/.273/.378	.148	.260	18	9	19%	5%	77	+0.1
✕Jacob Amaya 2022 · AA	23	40→45	43→45	46→45	47	.201/.269/.310	.110	.259	11	5	26%	8%	59	-1.1	.212/.281/.334	.122	.273	14	6	26%	8%	71	-0.3	.209/.281/.325	.116	.268	12	6	26%	9%	66	-0.5
✕Rodolfo Castro 2021 · A	22	36→42	48→55	46→50	34	.192/.230/.332	.140	.264	16	6	34%	4%	49	-1.8	.213/.267/.378	.165	.281	21	8	31%	6%	77	+0.1	.207/.276/.361	.154	.269	19	11	30%	7%	74	-0.1
✕Corey Joyce 2021 · A	22	44	40→45	50	40	.212/.268/.307	.095	.307	8	8	32%	6%	58	-1.2	.203/.290/.313	.110	.295	11	12	32%	9%	70	-0.3	.212/.315/.318	.105	.301	9	14	29%	10%	80	+0.2
✕Miguel Amaya 2021 · A	22	42	46→50	48→40	46	.212/.283/.341	.129	.261	14	4	24%	7%	75	-0.0	.218/.306/.350	.132	.298	14	6	29%	9%	87	+0.8	.233/.304/.378	.146	.278	16	1	22%	7%	91	+0.5
✕Joe DeCarlo 2017 · A	23	39→38	45→50	46→30	45	.193/.281/.316	.123	.278	13	2	33%	9%	68	-0.5	.195/.274/.331	.136	.278	16	3	34%	8%	68	-0.5	.176/.253/.301	.125	.251	16	0	35%	7%	49	-0.8
✕Anderson Gomes 2007 · A	22	41→38	43→45	47→50	39	.205/.252/.313	.108	.275	10	9	29%	5%	53	-1.5	.220/.270/.333	.113	.292	11	7	27%	6%	66	-0.6	.223/.275/.335	.112	.290	12	5	26%	6%	67	-0.2
✕Edgardo Baez 2007 · A	22	41→46	42→50	47→50	39	.205/.252/.311	.106	.286	10	6	31%	6%	52	-1.6	.221/.271/.344	.123	.307	13	8	31%	6%	69	-0.4	.226/.277/.357	.132	.306	15	9	30%	6%	71	-0.2
✕Glenn Santiago 2023 · A	22	41	41→40	46→45	40	.203/.258/.301	.098	.286	8	8	31%	6%	52	-1.6	.200/.266/.289	.089	.294	8	9	32%	7%	53	-1.5	.183/.256/.260	.077	.269	7	8	32%	8%	40	-1.1
✕Niko Vasquez 2011 · A	22	42→41	41→50	42→45	47	.202/.282/.303	.101	.284	8	4	30%	9%	63	-0.8	.197/.265/.307	.110	.264	10	3	28%	8%	58	-1.2	.227/.282/.376	.149	.290	19	6	28%	6%	81	+0.2
✕Danny Mendick 2016 · A	22	42→48	42→45	50	45	.208/.267/.309	.101	.252	10	9	21%	6%	59	-1.1	.205/.259/.296	.091	.257	7	9	22%	6%	52	-1.6	.231/.290/.367	.136	.277	16	15	22%	7%	79	+0.2
✕Sandro Fabian 2021 · A	23	39→45	44→55	45	38	.198/.254/.311	.113	.271	13	5	31%	5%	54	-1.4	.226/.268/.393	.167	.263	22	4	23%	4%	82	+0.5	.223/.272/.390	.167	.250	20	4	20%	5%	79	+0.2
✕Wynston Sawyer 2014 · A	22	40	42→45	47→45	45	.198/.256/.299	.101	.243	10	3	23%	6%	52	-1.6	.213/.275/.311	.098	.267	8	5	22%	7%	63	-0.9	.226/.313/.341	.115	.287	11	2	23%	9%	84	+0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)