Jermaine Curtis

PosLF

B/TR/R

Born1987-07-10

Age (2027)40

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	29	AAACIN	346	.291/.408/.435	9	6	116	—	.277/.364/.407
2017	30	AAA/AA/INTL3 orgs	370	.284/.402/.366	1	2	76	—	.234/.326/.301
2018	31	AAAWSH	165	.200/.358/.254	1	3	51	—	.173/.290/.216

Contract

No contract data on file.

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)
2009	22	A+	Palm Beach Cardinals	—	369	314	62	7	0	1	34	52	14	7	4	197	304	229	533	32	231	14	9	255	40	—	—	—	—	—	—
2009	22	A	Quad Cities River Bandits	—	136	112	34	12	0	1	19	21	5	12	2	304	426	438	864	134	367	15	14	393	101	—	—	—	—	—	—
2010	23	AA	Springfield Cardinals	—	65	55	13	3	0	0	7	10	2	0	0	236	344	291	635	55	289	15	11	296	60	—	—	—	—	—	—
2010	23	A+	Palm Beach Cardinals	—	238	191	51	10	0	0	28	25	13	5	1	267	397	319	716	52	300	11	12	332	89	—	—	—	—	—	—
2011	24	AA	Springfield Cardinals	—	329	276	87	12	3	5	38	31	9	0	0	315	415	435	850	120	340	9	12	378	116	—	—	—	—	—	—
2011	24	INTL	Caneros de los Mochis	—	271	214	63	9	0	0	35	30	12	12	3	294	421	336	758	42	337	11	13	346	120	—	—	—	—	—	—
2012	25	AAA	Memphis Redbirds	—	38	29	8	1	0	0	9	4	0	0	0	276	447	310	758	34	320	11	24	366	97	—	—	—	—	—	—
2012	25	AA	Springfield Cardinals	—	440	368	115	19	1	1	47	51	19	6	1	312	417	378	795	65	360	12	11	363	102	—	—	—	—	—	—
2012	25	INTL	Caneros de los Mochis	—	238	191	57	10	0	1	32	27	4	9	2	298	410	366	776	68	337	11	13	344	119	—	—	—	—	—	—
2013	26	AAA	Memphis Redbirds	—	436	370	95	17	1	5	52	53	7	10	2	257	359	349	708	92	284	12	12	322	77	—	—	—	—	—	—
2013	26	INTL	Aguilas Cibaenas	—	116	96	29	3	0	0	17	11	2	1	4	302	417	333	751	31	341	9	15	351	124	—	—	—	—	—	—
2014	27	AAA	Memphis Redbirds	—	279	225	57	8	0	0	42	22	8	5	0	253	389	289	678	36	278	8	15	322	74	—	—	—	—	—	—
2015	28	AAA	Louisville Bats	—	260	227	62	10	0	2	21	25	11	5	1	273	363	344	707	70	299	10	8	327	82	—	—	—	—	—	—
2016	29	AAA	Louisville Bats	—	346	285	83	14	0	9	42	43	14	6	1	291	408	435	843	144	314	12	12	377	116	—	—	—	—	—	—
2017	30	AAA	Nashville Sounds	—	79	67	17	2	0	0	9	15	2	0	0	254	359	284	643	30	327	19	11	302	56	—	—	—	—	—	—
2017	30	AA	Midland RockHounds	—	250	203	63	14	1	1	37	42	7	2	1	310	433	404	837	94	380	17	15	381	82	—	—	—	—	—	—
2017	30	INTL	Aguilas del Zulia	—	41	36	7	4	0	0	3	9	2	0	0	194	293	306	598	111	259	22	7	278	75	—	—	—	—	—	—
2018	31	AAA	Rochester Red Wings	—	165	130	26	4	0	1	24	33	8	3	0	200	358	254	612	54	253	20	15	296	51	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	22	A+ MLE	Palm Beach Cardinals	—	369	322	60	7	0	1	26	74	14	7	4	186	276	217	494	31	227	20	7	227	40	—	—	—	—	—	—
2009	22	A MLE	Quad Cities River Bandits	—	136	119	31	10	0	1	12	29	5	12	2	261	353	370	723	109	328	21	9	317	101	—	—	—	—	—	—
2010	23	AA MLE	Springfield Cardinals	—	65	57	13	3	0	0	5	12	2	0	0	228	312	281	593	53	272	18	8	257	60	—	—	—	—	—	—
2010	23	A+ MLE	Palm Beach Cardinals	—	238	200	50	11	0	0	19	36	13	5	1	250	353	305	658	55	286	15	8	300	89	—	—	—	—	—	—
2011	24	AA MLE	Springfield Cardinals	—	329	289	87	10	3	4	25	38	9	0	0	301	375	398	773	97	326	12	8	340	116	—	—	—	—	—	—
2012	25	AAA MLE	Memphis Redbirds	—	38	32	8	1	0	0	6	5	0	0	0	250	368	281	650	31	301	13	16	312	97	—	—	—	—	—	—
2012	25	AA MLE	Springfield Cardinals	—	440	385	113	17	1	1	30	61	19	6	1	294	373	351	724	57	336	14	7	319	102	—	—	—	—	—	—
2013	26	AAA MLE	Memphis Redbirds	—	436	387	92	15	1	4	35	68	7	10	2	238	312	313	625	75	269	16	8	282	77	—	—	—	—	—	—
2014	27	AAA MLE	Memphis Redbirds	—	279	238	55	8	0	0	29	28	8	5	0	231	335	265	599	34	255	10	10	278	74	—	—	—	—	—	—
2015	28	AAA MLE	Louisville Bats	—	260	234	60	9	0	2	14	30	11	5	1	256	328	321	649	64	285	12	5	290	82	—	—	—	—	—	—
2016	29	AAA MLE	Louisville Bats	—	346	300	83	12	0	9	27	53	14	6	1	277	364	407	770	130	299	15	8	339	116	—	—	—	—	—	—
2017	30	AAA MLE	Nashville Sounds	—	79	70	16	2	0	0	6	19	2	0	0	229	308	257	565	29	300	24	8	251	56	—	—	—	—	—	—
2017	30	AA MLE	Midland RockHounds	—	250	216	51	12	1	1	24	54	7	2	1	236	332	315	647	79	298	22	10	290	82	—	—	—	—	—	—
2018	31	AAA MLE	Rochester Red Wings	—	165	139	24	3	0	1	15	40	8	3	0	173	290	216	506	43	223	24	9	244	51	—	—	—	—	—	—
2009	22	A+ MLE	2 teams	—	505	441	90	17	0	2	38	102	19	19	6	204	295	256	551	52	259	20	8	251	56	—	—	—	—	—	—
2009	22	A+ RAW	2 teams	—	505	426	96	19	0	2	53	73	19	19	6	225	337	284	621	59	266	14	10	292	56	—	—	—	—	—	—
2010	23	A+ MLE	2 teams	—	303	257	63	14	0	0	24	49	15	5	1	245	345	300	644	54	297	16	8	291	83	—	—	—	—	—	—
2010	23	A+ RAW	2 teams	—	303	246	64	13	0	0	35	35	15	5	1	260	385	313	698	53	298	12	12	324	83	—	—	—	—	—	—
2011	24	AA MLE	2 teams	—	600	517	160	19	6	8	46	69	21	12	3	309	389	416	805	106	342	12	8	340	116	—	—	—	—	—	—
2011	24	AA RAW	2 teams	—	600	490	150	21	3	5	73	61	21	12	3	306	418	392	810	86	339	10	12	363	116	—	—	—	—	—	—
2012	25	AA MLE	3 teams	—	716	621	180	26	2	1	55	98	23	15	3	290	369	343	712	53	340	14	8	318	102	—	—	—	—	—	—
2012	25	AA RAW	3 teams	—	716	588	180	30	1	2	88	82	23	15	3	306	416	371	787	65	350	11	12	357	102	—	—	—	—	—	—
2013	26	AAA MLE	2 teams	—	552	490	116	19	1	5	45	86	9	11	6	237	312	310	623	73	275	16	8	282	77	—	—	—	—	—	—
2013	26	AAA RAW	2 teams	—	552	466	124	20	1	5	69	64	9	11	6	266	371	345	717	79	296	12	12	328	77	—	—	—	—	—	—
2014	27	AAA MLE	Memphis Redbirds	—	279	238	55	8	0	0	29	28	8	5	0	231	335	265	599	34	259	10	10	278	74	—	—	—	—	—	—
2014	27	AAA RAW	Memphis Redbirds	—	279	225	57	8	0	0	42	22	8	5	0	253	389	289	678	36	278	8	15	322	74	—	—	—	—	—	—
2015	28	AAA MLE	Louisville Bats	—	260	234	60	9	0	2	14	30	11	5	1	256	328	321	649	64	286	12	5	290	82	—	—	—	—	—	—
2015	28	AAA RAW	Louisville Bats	—	260	227	62	10	0	2	21	25	11	5	1	273	363	344	707	70	299	10	8	327	82	—	—	—	—	—	—
2016	29	AAA MLE	Louisville Bats	—	346	300	83	12	0	9	27	53	14	6	1	277	364	407	770	130	307	15	8	339	116	—	—	—	—	—	—
2016	29	AAA RAW	Louisville Bats	—	346	285	83	14	0	9	42	43	14	6	1	291	408	435	843	144	314	12	12	377	116	—	—	—	—	—	—
2017	30	AA MLE	3 teams	—	370	321	75	15	1	1	34	83	11	2	1	234	328	296	624	62	308	22	9	281	76	—	—	—	—	—	—
2017	30	AA RAW	3 teams	—	370	306	87	20	1	1	49	66	11	2	1	284	402	366	768	82	355	18	13	353	76	—	—	—	—	—	—
2018	31	AAA MLE	Rochester Red Wings	—	165	139	24	3	0	1	15	40	8	3	0	173	290	216	506	43	228	24	9	244	51	—	—	—	—	—	—
2018	31	AAA RAW	Rochester Red Wings	—	165	130	26	4	0	1	24	33	8	3	0	200	358	254	612	54	253	20	15	296	51	—	—	—	—	—	—
2009	22	A+ MLE	2 teams	—	505	443	90	17	0	2	38	102	19	19	6	203	295	255	550	52	254	20	8	251	56	—	—	—	—	—	—
2010	23	A+ MLE	2 teams	—	303	261	63	14	0	0	24	49	15	5	1	241	345	295	640	54	283	16	8	291	83	—	—	—	—	—	—
2011	24	AA MLE	2 teams	—	600	528	160	19	6	8	46	69	21	12	3	303	389	407	796	104	326	12	8	340	116	—	—	—	—	—	—
2012	25	AA MLE	3 teams	—	716	632	180	26	2	1	55	98	23	15	3	285	369	337	706	52	333	14	8	318	102	—	—	—	—	—	—
2013	26	AAA MLE	2 teams	—	552	493	116	19	1	5	45	86	9	11	6	235	312	308	621	73	269	16	8	282	77	—	—	—	—	—	—
2014	27	AAA MLE	Memphis Redbirds	—	279	240	55	8	0	0	29	28	8	5	0	229	335	263	597	33	255	10	10	278	74	—	—	—	—	—	—
2015	28	AAA MLE	Louisville Bats	—	260	233	60	9	0	2	14	30	11	5	1	258	328	322	650	64	285	12	5	290	82	—	—	—	—	—	—
2016	29	AAA MLE	Louisville Bats	—	346	302	83	12	0	9	27	53	14	6	1	275	364	404	768	129	299	15	8	339	116	—	—	—	—	—	—
2017	30	AA MLE	3 teams	—	370	322	75	15	1	1	34	83	11	2	1	233	328	295	623	62	298	22	9	281	76	—	—	—	—	—	—
2018	31	AAA MLE	Rochester Red Wings	—	165	141	24	3	0	1	15	40	8	3	0	170	290	213	503	43	223	24	9	244	51	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	4096	3558	906	142	10	29	327	638	139	83	22	255	341	325	666	70	300	16	8	297	87	-62	+8	-0	-44	+89	-1.0
/ 162G	—	MLE		—	650	565	145	23	2	5	52	101	22	13	3	257	343	331	674	74	302	16	8	297	87	-10	+1	-0	-7	+14	-0.1

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.

2018 AAARochester Red Wings · 165 PAwOBA .293 → .244 (−49)K% 20.0% → 24.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷0.978	×1.200	—	—	24.55%
BB% (unintentional) /PA	13.94%	÷1.008	×0.690	—	×0.962	9.18%
HBP% /PA	4.85%	—	×0.940	—	×0.962	4.38%
Singles /BIP	21.65%	÷1.023	×0.930	×1.023	×0.962	19.36%
Doubles /BIP	4.12%	÷1.009	×0.830	×1.023	×0.962	3.34%
Triples /BIP	0.00%	÷1.150	×0.970	×1.023	×0.962	0.00%
Home runs /BIP	1.03%	÷0.879	×0.840	—	×0.962	0.95%

Factors used: league row IL. Park (home-season share, regressed): HR 76, 1B 105, 2B 102, 3B 130, K 96, BB 102 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.

Result: wOBA .293 → .244; ISO .054 → .049; BABIP .253 → .223. 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).

2017 AAMidland RockHounds · 250 PAwOBA .375 → .290 (−85)K% 16.8% → 21.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.80%	÷0.939	×1.220	—	—	21.84%
BB% (unintentional) /PA	14.40%	÷0.990	×0.700	—	×0.948	9.65%
HBP% /PA	2.80%	—	×0.870	—	×0.948	2.31%
Singles /BIP	29.19%	÷1.142	×0.920	×1.008	×0.948	22.49%
Doubles /BIP	8.70%	÷0.987	×0.840	×1.008	×0.948	7.08%
Triples /BIP	0.62%	÷0.977	×0.940	×1.008	×0.948	0.57%
Home runs /BIP	0.62%	÷0.862	×0.800	—	×0.948	0.55%

Factors used: league row TL. Park (home-season share, regressed): HR 72, 1B 128, 2B 97, 3B 95, K 88, BB 98 — applied at half strength. Age: age 30 vs a level average of 24.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.

Result: wOBA .375 → .290; ISO .094 → .080; BABIP .380 → .298. 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).

2017 AAANashville Sounds · 79 PAwOBA .295 → .251 (−45)K% 19.0% → 24.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.99%	÷1.003	×1.290	—	—	24.43%
BB% (unintentional) /PA	11.39%	÷1.029	×0.710	—	×0.972	7.64%
HBP% /PA	2.53%	—	×0.980	—	×0.972	2.41%
Singles /BIP	28.85%	÷0.984	×0.900	×1.050	×0.972	26.93%
Doubles /BIP	3.85%	÷1.021	×0.810	×1.050	×0.972	3.12%
Triples /BIP	0.00%	÷0.900	×0.810	×1.050	×0.972	0.00%
Home runs /BIP	0.00%	÷0.868	×0.780	—	×0.972	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 74, 1B 97, 2B 104, 3B 80, K 101, BB 106 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .295 → .251; ISO .030 → .024; BABIP .327 → .300. 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).

2016 AAALouisville Bats · 346 PAwOBA .368 → .339 (−30)K% 12.4% → 15.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.43%	÷0.984	×1.200	—	—	15.15%
BB% (unintentional) /PA	11.27%	÷0.978	×0.690	—	×0.982	7.81%
HBP% /PA	4.05%	—	×0.940	—	×0.982	3.74%
Singles /BIP	24.79%	÷0.952	×0.930	×1.034	×0.982	24.59%
Doubles /BIP	5.79%	÷1.053	×0.830	×1.034	×0.982	4.63%
Triples /BIP	0.00%	÷1.150	×0.970	×1.034	×0.982	0.00%
Home runs /BIP	3.72%	÷0.882	×0.840	—	×0.982	3.48%

Factors used: league row IL. Park (home-season share, regressed): HR 76, 1B 90, 2B 111, 3B 130, K 97, BB 96 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.034.

Result: wOBA .368 → .339; ISO .144 → .134; BABIP .314 → .299. 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).

2015 AAALouisville Bats · 260 PAwOBA .320 → .290 (−30)K% 9.6% → 11.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.62%	÷0.991	×1.200	—	—	11.64%
BB% (unintentional) /PA	8.08%	÷1.023	×0.690	—	×0.992	5.40%
HBP% /PA	4.23%	—	×0.940	—	×0.992	3.95%
Singles /BIP	24.75%	÷0.999	×0.930	×1.050	×0.992	24.00%
Doubles /BIP	4.95%	÷0.975	×0.830	×1.050	×0.992	4.39%
Triples /BIP	0.00%	÷0.922	×0.970	×1.050	×0.992	0.00%
Home runs /BIP	0.99%	÷1.009	×0.840	—	×0.992	0.82%

Factors used: league row IL. Park (home-season share, regressed): HR 102, 1B 100, 2B 95, 3B 84, K 98, BB 105 — 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 ×1.050.

Result: wOBA .320 → .290; ISO .070 → .062; BABIP .299 → .285. 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).

2014 AAAMemphis Redbirds · 279 PAwOBA .317 → .278 (−39)K% 7.9% → 10.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.89%	÷0.997	×1.290	—	—	10.20%
BB% (unintentional) /PA	15.05%	÷1.031	×0.710	—	×1.003	10.40%
HBP% /PA	2.87%	—	×0.980	—	×1.003	2.82%
Singles /BIP	24.14%	÷1.034	×0.900	×1.050	×1.003	22.12%
Doubles /BIP	3.94%	÷0.917	×0.810	×1.050	×1.003	3.67%
Triples /BIP	0.00%	÷0.900	×0.810	×1.050	×1.003	0.00%
Home runs /BIP	0.00%	÷1.036	×0.780	—	×1.003	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 107, 1B 107, 2B 83, 3B 80, K 99, BB 106 — 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 ×1.050.

Result: wOBA .317 → .278; ISO .036 → .035; BABIP .278 → .255. 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).

2013 AAAMemphis Redbirds · 436 PAwOBA .316 → .282 (−34)K% 12.2% → 15.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.16%	÷1.004	×1.290	—	—	15.62%
BB% (unintentional) /PA	11.47%	÷1.020	×0.710	—	×1.018	8.13%
HBP% /PA	1.61%	—	×0.980	—	×1.018	1.60%
Singles /BIP	22.71%	÷0.970	×0.900	×1.031	×1.018	22.12%
Doubles /BIP	5.36%	÷1.002	×0.810	×1.031	×1.018	4.55%
Triples /BIP	0.32%	÷0.984	×0.810	×1.031	×1.018	0.27%
Home runs /BIP	1.58%	÷0.988	×0.780	—	×1.018	1.27%

Factors used: league row PCL. Park (home-season share, regressed): HR 98, 1B 94, 2B 100, 3B 97, K 101, BB 104 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.031.

Result: wOBA .316 → .282; ISO .092 → .078; BABIP .284 → .269. 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).

2012 AASpringfield Cardinals · 440 PAwOBA .354 → .319 (−35)K% 11.6% → 13.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.59%	÷1.025	×1.220	—	—	13.80%
BB% (unintentional) /PA	10.23%	÷1.043	×0.700	—	×0.998	6.85%
HBP% /PA	4.32%	—	×0.870	—	×0.998	3.75%
Singles /BIP	29.65%	÷1.003	×0.920	×1.042	×0.998	28.29%
Doubles /BIP	5.99%	÷1.054	×0.840	×1.042	×0.998	4.97%
Triples /BIP	0.32%	÷0.900	×0.940	×1.042	×0.998	0.34%
Home runs /BIP	0.32%	÷1.238	×0.800	—	×0.998	0.20%

Factors used: league row TL. Park (home-season share, regressed): HR 148, 1B 101, 2B 111, 3B 80, K 105, BB 109 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.042.

Result: wOBA .354 → .319; ISO .065 → .057; BABIP .360 → .336. 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 — .