Dyan Jorge — OGILVIE

Dyan JorgeSS Hartford Yard Goats

Age 23 R/R 6'2" / 170 lbs AA H +10%K -4% Svc 0.0 · Ctrl thru 2034 peak 0.5 · 2029

wRC+†50

AVG/OBP/SLG.200 / .254 / .253

PA320

HR2

SB25

K%28

BB%6

MLB%2%

Scouting · now → future

HIT

35→35

PWR

25→25

SPD

55→55

EYE

43↘40

trajectory · 10 yrs

0.6peak

2030

Contract

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Arb-1	$0.8M	+0.5	$2M	+$1M
2030	Arb-2	$0.9M	+0.5	$2M	+$1M
2031	Arb-3	$0.9M	+0.4	$2M	+$1.0M
2032	Ext / FA-deal	$0.6M	+0.2	$1.0M	+$0.4M
2033	Ext / FA-deal	$5M	—	—	—
2034	Ext / FA-deal	$0.6M	—	—	—
Totals		$9M		$6M	-$3M

Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
2022	19	ROK	DSL Rockies	234	214	50	10	1	2	16	45	4	13	10	.234	.299	.318	.617	.084	.287	19	7	.270	65	-9	-1	+0	+3	+7	-0.2
2023	20	A	2 teams	309	281	75	14	2	2	22	65	0	19	2	.267	.320	.352	.672	.085	.335	21	7	.296	84	-5	+3	+0	+3	+9	1.0
2024	21	A+	Spokane Indians	541	504	109	9	3	1	27	171	4	36	10	.216	.262	.252	.514	.036	.321	32	5	.229	33	-41	+3	+0	+6	+15	-1.7
2025	22	AA	Hartford Yard Goats	445	408	76	12	0	1	28	113	4	18	9	.186	.245	.223	.468	.037	.253	25	6	.216	24	-38	+0	+0	+5	+13	-2.2
▸ 2026 Season (actual · ROS · total)
2026	23	AA	Hartford Yard Goats	79	68	15	1	1	0	10	23	1	12	0	.221	.329	.265	.594	.044	.333	29	13	.275	69	-3	+2	+0	+1	+2	0.3
ROS	23	MLB	COL	241	220	45	6	1	1	17	67	2	13	2	.205	.268	.255	.522	.050	.286	28	7	.243	44	-15	+2	+0	+3	+7	-0.4
TOT	23	MLB	COL	320	288	60	7	2	1	27	90	3	25	2	.208	.283	.257	.540	.049	.298	28	8	.251	50	-18	+4	+0	+3	+9	-0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 11%	COL	500	455	96	13	2	4	37	126	4	25	4	.211	.276	.275	.551	.064	.281	25	7	.256	54	-26	+3	+0	+5	+14	-0.3
2028	25	MLB 26%	COL	529	479	105	15	2	7	41	131	4	25	4	.219	.286	.303	.589	.084	.283	25	8	.268	63	-22	+3	+0	+6	+15	0.2
2029	26	MLB 44%	COL	545	492	108	15	2	8	43	134	5	24	4	.220	.289	.307	.596	.087	.284	25	8	.274	68	-20	+3	+0	+6	+15	0.5
2030	27	MLB 59%	COL	551	497	111	16	2	9	44	136	5	23	4	.223	.293	.318	.611	.095	.285	25	8	.276	69	-19	+3	+0	+6	+16	0.5
2031	28	MLB 76%	COL	550	495	109	16	2	8	45	137	5	21	3	.220	.292	.309	.601	.089	.284	25	8	.275	68	-20	+3	-1	+6	+16	0.4
2032	29	MLB 94%	COL	542	489	106	15	2	8	44	136	4	19	3	.217	.287	.305	.591	.088	.283	25	8	.273	67	-20	+3	-1	+6	+15	0.2
2033	30	MLB	COL	533	480	105	15	2	8	44	136	4	17	2	.219	.290	.308	.598	.090	.282	26	8	.269	64	-21	+3	-2	+6	+15	-0.0
2034	31	MLB	COL	520	468	100	14	2	7	43	135	4	14	1	.214	.285	.297	.582	.083	.281	26	8	.266	61	-23	+2	-3	+6	+15	-0.3
2035	32	MLB	COL	502	452	95	13	2	6	41	133	4	11	0	.210	.282	.288	.569	.077	.279	26	8	.261	58	-24	+2	-4	+5	+14	-0.6
2036	33	MLB	COL	473	428	88	12	2	5	38	128	4	9	0	.206	.277	.278	.555	.072	.278	27	8	.256	54	-25	+2	-4	+5	+13	-0.9
2037	34	MLB	COL	426	386	77	10	2	4	34	119	3	7	0	.199	.270	.267	.536	.067	.276	28	8	.250	50	-24	+1	-5	+5	+12	-1.1
▸ Career Totals (MLE all levels + projections)
Career	—			7441	6748	1455	205	29	81	564	1912	60	294	58	.216	.282	.291	.573	.075	.286	26	8	.261	58	-353	+36	-20	+80	+211	-4.7
/ 162G	—			650	589	128	18	3	7	49	167	5	26	5	.217	.283	.294	.576	.076	.289	26	8	.261	58	-31	+3	-2	+7	+18	-0.4

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
2022	19	ROK	DSL Rockies	234	206	66	13	1	4	24	35	4	13	10	.320	.402	.451	.853	.131	.371	15	10	.384	152	+14	-1	—	—	+7	1.9
2023	20	A	Fresno Grizzlies	215	198	56	11	0	0	13	35	0	10	2	.283	.327	.338	.665	.056	.337	16	6	.297	86	-3	+1	—	—	+6	0.4
2023	20	ROK	ACL Rockies	94	73	27	5	3	3	19	12	0	9	0	.370	.500	.644	1.144	.274	.407	13	20	.481	226	+13	+2	—	—	+3	1.8
2024	21	A+	Spokane Indians	541	483	129	13	3	2	48	122	4	36	10	.267	.338	.319	.657	.052	.350	23	9	.301	88	-7	+3	—	—	+15	1.2
2025	22	AA	Hartford Yard Goats	445	398	79	13	0	2	38	90	4	18	9	.198	.275	.246	.521	.048	.250	20	9	.243	44	-28	+0	—	—	+13	-1.6

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
Dyan Jorge (OGILVIE)	23	35	25	55	40	.200/.254/.253	.054	.278	2	11	28%	6%	38	-1.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dwayne Bailey 2011 · AAA	24	42	35→30	53→50	41	.199/.256/.254	.055	.291	2	14	31%	6%	38	-2.6	.218/.278/.286	.068	.315	3	12	29%	7%	56	-1.3	.227/.292/.289	.061	.331	2	11	29%	7%	59	-0.7
✕Mike Martin 2016 · A	23	41	35→30	52→55	42	.188/.277/.248	.060	.302	3	12	35%	8%	49	-1.8	.222/.280/.282	.060	.288	3	17	22%	6%	56	-1.3	.244/.292/.297	.053	.299	2	23	18%	5%	62	-0.3
✕Claudio Finol 2023 · AA	23	39	38→40	49→45	40	.187/.243/.265	.078	.259	5	8	29%	6%	37	-2.7	.205/.266/.297	.092	.292	8	10	31%	7%	55	-1.4	.195/.264/.279	.084	.281	10	12	32%	7%	48	-0.5
✕Dionis Hinojosa 2014 · A	23	43	36→30	51→60	41	.202/.259/.265	.062	.288	3	18	29%	6%	43	-2.2	.207/.259/.282	.075	.283	4	10	27%	6%	47	-1.9	.198/.248/.261	.062	.248	4	8	21%	4%	37	-0.4
✕Nick Meyer 2021 · A	24	36	36→40	52→50	41	.176/.234/.238	.062	.249	4	15	30%	6%	26	-3.4	.211/.280/.295	.084	.276	8	14	25%	8%	60	-1.0	.207/.282/.288	.080	.266	10	16	25%	8%	57	-0.6
✕Jordan Serena 2016 · A	23	40→46	35→30	54→50	38	.187/.255/.250	.063	.288	2	17	34%	6%	39	-2.5	.197/.255/.261	.064	.294	3	10	32%	6%	40	-2.4	.192/.247/.250	.058	.285	3	9	32%	5%	32	-1.8
✕Alexis Bastardo 2017 · A	23	42	35→40	50→55	39	.197/.252/.257	.060	.284	3	11	30%	5%	38	-2.6	.197/.244/.269	.072	.273	5	13	28%	5%	37	-2.6	.185/.221/.251	.067	.244	7	20	27%	3%	19	-1.5
✕Jon Murphy 2013 · A	23	39	38→30	47→50	39	.188/.240/.266	.078	.269	5	13	31%	6%	35	-2.8	.202/.255/.266	.064	.303	4	10	32%	6%	41	-2.3	.197/.253/.251	.053	.301	3	10	33%	6%	33	-1.5
✕DJ Jenkins 2017 · A	23	45	35→30	50→55	43	.214/.264/.268	.054	.278	3	16	23%	6%	45	-2.1	.215/.263/.259	.044	.301	2	15	27%	6%	43	-2.2	.210/.259/.240	.030	.297	1	15	28%	5%	32	-1.4
✕Blake Rambusch 2023 · A	23	47	37→30	52→60	42	.219/.287/.296	.076	.318	4	13	30%	7%	63	-0.8	.226/.311/.291	.065	.315	3	28	26%	9%	72	-0.2	.233/.319/.287	.055	.311	2	37	23%	9%	71	-0.1
✕Erlin Cerda 2017 · A	23	45	36→40	53→55	44	.210/.273/.281	.071	.280	2	13	24%	6%	53	-1.5	.196/.241/.267	.071	.299	3	8	33%	5%	35	-2.8	.166/.201/.211	.044	.261	0	8	35%	4%	-1	-1.2
✕Alfredo Reyes 2017 · A	23	36	36→30	56→55	35	.180/.217/.239	.059	.271	4	19	34%	4%	17	-4.0	.197/.247/.262	.065	.322	4	24	37%	6%	37	-2.7	.196/.256/.253	.057	.330	4	28	39%	7%	35	-1.4
✕Delvin Pérez 2022 · AA	23	46→47	36→30	52→55	37	.215/.260/.277	.062	.305	4	19	30%	4%	46	-2.0	.203/.263/.287	.084	.303	8	25	33%	7%	51	-1.7	.187/.252/.257	.071	.272	7	29	32%	7%	36	-1.5
✕Derrik Gibson 2013 · AA	23	43→53	34→40	51→55	44	.201/.258/.252	.050	.272	1	17	25%	6%	39	-2.5	.228/.290/.299	.071	.306	3	13	24%	7%	65	-0.7	.249/.312/.317	.069	.316	3	11	20%	7%	75	+0.0
✕Juan Montes 2018 · A	23	41	37→30	52→55	44	.193/.278/.260	.067	.251	5	18	24%	6%	53	-1.5	.210/.285/.288	.078	.289	5	12	28%	6%	62	-0.9	.214/.282/.293	.079	.299	8	5	29%	4%	59	-0.2
✕Raul Siri 2018 · A	23	39	38→40	51→50	43	.190/.250/.269	.079	.260	5	11	28%	7%	40	-2.4	.198/.262/.282	.084	.339	5	9	40%	6%	50	-1.8	.146/.232/.233	.088	.294	4	14	47%	8%	25	-0.6
✕Ray-Patrick Didder 2018 · A	23	42→46	38→45	52→60	39	.200/.276/.278	.078	.288	5	18	30%	6%	56	-1.3	.187/.267/.264	.077	.298	6	23	36%	7%	48	-1.9	.195/.280/.308	.112	.279	12	28	32%	8%	62	-0.6
✕Nic Kent 2023 · A	23	37→42	36→40	48→45	35	.179/.226/.239	.060	.270	3	14	34%	5%	22	-3.7	.204/.255/.286	.082	.271	7	10	26%	5%	47	-1.9	.203/.259/.278	.075	.268	7	9	25%	5%	45	-1.4
✕Terry Serrano 2009 · A	22	41	35→30	50→55	45	.193/.257/.255	.062	.261	3	15	26%	7%	40	-2.4	.210/.292/.281	.071	.312	3	15	30%	10%	62	-0.9	.210/.320/.274	.064	.324	2	21	31%	13%	69	-0.2
✕Corey Joyce 2022 · AA	23	41	39→45	53→50	39	.193/.262/.274	.080	.300	7	13	36%	7%	48	-1.9	.208/.307/.328	.120	.294	12	12	31%	10%	82	+0.5	.212/.315/.318	.105	.301	9	14	29%	10%	80	+0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)