Jordan Qsar

PosOF

B/TL/R

Born1995-12-02

Age (2027)31

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	25	A+/INTL2 orgs	433	.253/.362/.530	25	16	80	—	.189/.278/.382
2022	26	AAA/AATB	411	.227/.321/.452	17	11	54	—	.170/.238/.330
2023	27	AAA/INTL2 orgs	304	.237/.369/.434	11	11	64	—	.181/.284/.313

Contract

No contract data on file.

Skills · percentileMiLB Statcast 2023 AAA

Max EV95

BB%83

Speed83

Chase%75

Z-Con%19

Whiff%14

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)
2018	22	ROK	Princeton Rays	—	170	137	48	8	3	10	32	45	0	4	1	350	473	672	1.145	321	458	26	19	486	109	—	—	—	—	—	—
2019	23	A	Bowling Green Hot Rods	—	233	196	41	8	3	9	36	93	1	5	2	209	335	418	753	209	340	40	15	338	16	—	—	—	—	—	—
2019	23	INTL	Perth Heat	—	172	134	43	9	0	8	37	47	0	8	2	321	468	567	1.035	246	438	27	22	451	191	—	—	—	—	—	—
2021	25	A+	Bowling Green Hot Rods	—	405	343	88	19	4	23	55	132	5	15	5	257	367	536	904	280	344	33	14	392	78	—	—	—	—	—	—
2021	25	INTL	Scottsdale Scorpions	—	28	25	5	0	0	2	3	8	0	1	0	200	286	440	726	240	200	29	11	320	103	—	—	—	—	—	—
2022	26	AAA	Durham Bulls	—	92	88	18	4	1	4	3	37	1	2	2	205	239	409	648	205	298	40	3	283	15	—	—	—	—	—	—
2022	26	AA	Montgomery Biscuits	—	319	273	64	12	6	13	41	120	5	9	2	234	345	465	810	231	364	38	13	358	65	—	—	—	—	—	—
2023	27	AAA	Lehigh Valley IronPigs	—	288	233	58	12	2	11	48	94	4	11	2	249	386	459	845	210	359	33	17	374	72	—	—	—	—	—	—
2023	27	INTL	Aguilas de Mexicali	—	16	16	1	0	0	0	0	10	0	0	0	62	62	62	125		167	62	0	57	-76	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2018	22	ROK MLE	Princeton Rays	—	170	153	35	5	2	8	16	64	0	4	1	229	302	444	746	216	331	38	9	330	109	—	—	—	—	—	—
2019	23	A MLE	Bowling Green Hot Rods	—	233	208	24	4	2	4	24	134	1	5	2	115	210	212	422	96	273	58	10	192	16	—	—	—	—	—	—
2021	25	A+ MLE	Bowling Green Hot Rods	—	405	359	68	12	3	17	39	173	5	15	5	189	278	382	660	192	293	43	10	284	78	—	—	—	—	—	—
2022	26	AAA MLE	Durham Bulls	—	92	89	13	3	1	2	2	44	1	2	2	146	174	270	444	124	251	48	2	191	15	—	—	—	—	—	—
2022	26	AA MLE	Montgomery Biscuits	—	319	288	51	9	5	10	26	142	5	9	2	177	257	347	604	170	301	45	8	265	65	—	—	—	—	—	—
2023	27	AAA MLE	Lehigh Valley IronPigs	—	288	249	45	8	2	7	32	113	4	11	2	181	284	313	597	133	286	39	11	275	72	—	—	—	—	—	—
2018	22	ROK MLE	Princeton Rays	—	170	153	35	5	2	8	16	64	0	4	1	229	302	444	746	216	329	38	9	330	109	—	—	—	—	—	—
2018	22	ROK RAW	Princeton Rays	—	170	137	48	8	3	10	32	45	0	4	1	350	473	672	1.145	321	458	26	19	486	109	—	—	—	—	—	—
2019	23	A MLE	2 teams	—	405	361	40	7	3	7	42	233	1	13	4	111	205	205	410	94	270	58	10	192	16	—	—	—	—	—	—
2019	23	A RAW	2 teams	—	405	330	84	17	3	17	73	140	1	13	4	255	391	479	870	224	385	35	18	386	16	—	—	—	—	—	—
2021	25	A+ MLE	2 teams	—	433	384	72	13	3	18	42	185	5	16	5	188	276	378	654	190	297	43	10	284	78	—	—	—	—	—	—
2021	25	A+ RAW	2 teams	—	433	368	93	19	4	25	58	140	5	16	5	253	362	530	892	277	333	32	13	387	78	—	—	—	—	—	—
2022	26	AA MLE	2 teams	—	411	377	64	12	6	12	28	186	6	11	4	170	238	329	567	159	291	45	7	248	54	—	—	—	—	—	—
2022	26	AA RAW	2 teams	—	411	361	82	16	7	17	44	157	6	11	4	227	321	452	773	224	348	38	11	341	54	—	—	—	—	—	—
2023	27	AAA MLE	2 teams	—	304	263	49	9	2	8	34	119	4	11	2	186	289	327	616	141	295	39	11	275	72	—	—	—	—	—	—
2023	27	AAA RAW	2 teams	—	304	249	59	12	2	11	48	104	4	11	2	237	369	434	803	197	350	34	16	358	72	—	—	—	—	—	—
2018	22	ROK MLE	Princeton Rays	—	170	152	35	5	2	8	16	64	0	4	1	230	302	447	749	217	331	38	9	330	109	—	—	—	—	—	—
2019	23	A MLE	2 teams	—	405	359	40	7	3	7	42	233	1	13	4	111	205	206	412	95	273	58	10	192	16	—	—	—	—	—	—
2021	25	A+ MLE	2 teams	—	433	383	72	13	3	18	42	185	5	16	5	188	276	379	655	191	293	43	10	284	78	—	—	—	—	—	—
2022	26	AA MLE	2 teams	—	411	374	64	12	6	12	28	186	6	11	4	171	238	332	570	160	290	45	7	248	54	—	—	—	—	—	—
2023	27	AAA MLE	2 teams	—	304	263	49	9	2	8	34	119	4	11	2	186	289	327	616	141	286	39	11	275	72	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1723	1538	260	46	16	53	162	787	16	55	16	169	255	323	578	154	294	46	9	257	60	-82	+5	+0	-10	+37	-5.2
/ 162G	—	MLE		—	650	580	98	17	6	20	61	297	6	21	6	169	255	322	577	153	294	46	9	257	60	-31	+2	+0	-4	+14	-1.9

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.

2023 AAALehigh Valley IronPigs · 288 PAwOBA .367 → .275 (−92)K% 32.6% → 39.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.64%	÷0.996	×1.200	—	—	39.34%
BB% (unintentional) /PA	15.97%	÷0.982	×0.690	—	×0.992	11.13%
HBP% /PA	1.39%	—	×0.940	—	×0.992	1.30%
Singles /BIP	23.74%	÷1.016	×0.930	×0.950	×0.992	20.48%
Doubles /BIP	8.63%	÷1.117	×0.830	×0.950	×0.992	6.04%
Triples /BIP	1.44%	÷1.105	×0.970	×0.950	×0.992	1.19%
Home runs /BIP	7.91%	÷1.028	×0.700	—	×0.992	5.35%

Factors used: league row International League. Park (home-season share, regressed): HR 106, 1B 103, 2B 123, 3B 121, K 99, BB 96 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .367 → .275; ISO .210 → .146; BABIP .359 → .286. 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 AAMontgomery Biscuits · 319 PAwOBA .347 → .265 (−82)K% 37.6% → 44.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	37.62%	÷1.032	×1.220	—	—	44.48%
BB% (unintentional) /PA	12.23%	÷0.984	×0.680	—	×0.978	8.26%
HBP% /PA	1.57%	—	×0.840	—	×0.978	1.29%
Singles /BIP	21.57%	÷1.001	×0.920	×0.955	×0.978	18.51%
Doubles /BIP	7.84%	÷1.090	×0.910	×0.955	×0.978	6.11%
Triples /BIP	3.92%	÷0.955	×0.880	×0.955	×0.978	3.37%
Home runs /BIP	8.50%	÷0.970	×0.800	—	×0.978	6.85%

Factors used: league row SL. Park (home-season share, regressed): HR 94, 1B 100, 2B 118, 3B 91, K 106, BB 97 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.955.

Result: wOBA .347 → .265; ISO .231 → .180; BABIP .364 → .301. 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 AAADurham Bulls · 92 PAwOBA .275 → .191 (−83)K% 40.2% → 48.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	40.22%	÷0.999	×1.200	—	—	48.32%
BB% (unintentional) /PA	3.26%	÷1.059	×0.690	—	×1.003	2.13%
HBP% /PA	1.09%	—	×0.940	—	×1.003	1.02%
Singles /BIP	17.65%	÷0.988	×0.930	×0.979	×1.003	16.32%
Doubles /BIP	7.84%	÷1.091	×0.830	×0.979	×1.003	5.86%
Triples /BIP	1.96%	÷1.150	×0.970	×0.979	×1.003	1.62%
Home runs /BIP	7.84%	÷1.034	×0.700	—	×1.003	5.33%

Factors used: league row International League. Park (home-season share, regressed): HR 107, 1B 98, 2B 118, 3B 130, K 100, BB 112 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.979.

Result: wOBA .275 → .191; ISO .205 → .127; BABIP .298 → .251. 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).

2021 A+Bowling Green Hot Rods · 405 PAwOBA .382 → .284 (−98)K% 32.6% → 42.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.59%	÷1.027	×1.350	—	—	42.85%
BB% (unintentional) /PA	13.33%	÷0.953	×0.710	—	×0.968	9.61%
HBP% /PA	1.23%	—	×0.810	—	×0.968	0.97%
Singles /BIP	19.91%	÷0.957	×0.910	×1.032	×0.968	18.90%
Doubles /BIP	9.00%	÷1.135	×0.830	×1.032	×0.968	6.58%
Triples /BIP	1.90%	÷1.150	×0.820	×1.032	×0.968	1.35%
Home runs /BIP	10.90%	÷0.978	×0.830	—	×0.968	8.96%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 96, 1B 91, 2B 127, 3B 130, K 105, BB 91 — applied at half strength. Age: age 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.032.

Result: wOBA .382 → .284; ISO .280 → .199; BABIP .344 → .293. 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).

2019 ABowling Green Hot Rods · 233 PAwOBA .329 → .192 (−138)K% 39.9% → 57.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	39.91%	÷0.944	×1.360	—	—	57.51%
BB% (unintentional) /PA	15.45%	÷1.012	×0.690	—	×0.980	10.32%
HBP% /PA	0.43%	—	×0.780	—	×0.980	0.33%
Singles /BIP	20.39%	÷0.960	×0.920	×0.950	×0.980	18.20%
Doubles /BIP	7.77%	÷1.103	×0.830	×0.950	×0.980	5.44%
Triples /BIP	2.91%	÷1.124	×0.910	×0.950	×0.980	2.19%
Home runs /BIP	8.74%	÷1.270	×0.800	—	×0.980	5.40%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 154, 1B 92, 2B 121, 3B 125, K 89, BB 102 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .329 → .192; ISO .209 → .098; BABIP .340 → .273. 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).

2018 ROKPrinceton Rays · 170 PAwOBA .469 → .330 (−138)K% 26.5% → 37.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.47%	÷1.000	×1.420	—	—	37.59%
BB% (unintentional) /PA	15.29%	÷1.000	×0.640	—	×0.965	9.45%
HBP% /PA	0.00%	—	×0.740	—	×0.965	0.00%
Singles /BIP	29.35%	÷1.000	×0.840	×0.950	×0.965	22.60%
Doubles /BIP	8.70%	÷1.000	×0.740	×0.950	×0.965	5.90%
Triples /BIP	3.26%	÷1.000	×0.740	×0.950	×0.965	2.21%
Home runs /BIP	10.87%	÷1.000	×0.800	—	×0.965	8.39%

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 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .469 → .330; ISO .321 → .233; BABIP .458 → .331. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .