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DOIs for this ISSN

Showing the top 5 of 238 DOIs, ordered by correction priority.

#	Title	Missing	Priority	Citations
1	Player evaluation in Twenty20 cricket (10.3233/jsa-150002)	Abstract ORCID License	108.54	27
2	When do soccer players peak? A note (10.3233/jsa-160021)	Abstract ORCID	88.91	59
3	Heterogeneity and team performance: Evaluating the effect of… (10.3233/jsa-170052)	Abstract ORCID	75.26	31
4	The ebb and flow of official calls in water polo (10.3233/jsa-160019)	Abstract ORCID	47.71	8
5	Does artificial grass affect the competitive balance in majo… (10.3233/jsa-160020)	Abstract ORCID	42.25	6
6	Using PITCHf/x to model the dependence of strikeout rate on… (10.3233/jsa-170103)	Abstract ORCID	42.25	6
7	A team recommendation system and outcome prediction for the… (10.3233/jsa-170196)	ORCID	41.33	44
8	Sports prediction and betting models in the machine learning… (10.3233/jsa-200463)	ORCID	40.84	42
9	Risk of Collusion: Will Groups of 3 Ruin the FIFA World Cup? (10.3233/jsa-200414)	ORCID	39.49	37
10	Gender differences in marathon pacing and performance predic… (10.3233/jsa-150008)	ORCID	38.91	35
11	An easily implemented and accurate model for predicting NCAA… (10.3233/jsa-160023)	Abstract ORCID	38.91	5
12	What a fairer 24 team UEFA Euro could look like (10.3233/jsa-180219)	ORCID	37.96	32
13	Fast starters and slow finishers: A large-scale data analysi… (10.3233/jsa-170205)	ORCID	36.56	28
14	A weighted plus/minus metric for individual soccer player pe… (10.3233/jsa-170225)	ORCID	36.56	28
15	Putting team formations in association football into context (10.3233/jsa-220620)	ORCID	36.56	28
16	Analyzing the pace of play in golf (10.3233/jsa-150004)	Abstract ORCID License	35.78	2
17	Bias in the log5 estimation of outcome of batter/pitcher mat… (10.3233/jsa-150005)	Abstract ORCID License	35.78	2
18	What was lost? A causal estimate of fourth down behavior in… (10.3233/jsa-190294)	ORCID	35.78	26
19	Predictions of european basketball match results with machin… (10.3233/jsa-220639)	ORCID	34.95	24
20	Modelling the financial contribution of soccer players to th… (10.3233/jsa-170235)	ORCID	34.04	22
21	Flow motifs in soccer: What can passing behavior tell us? (10.3233/jsa-190290)	ORCID	34.04	22
22	Forecasting football matches by predicting match statistics (10.3233/jsa-200462)	ORCID	33.56	21
23	“Choose your opponent”: A new knockout design for hybrid tou… (10.3233/jsa-200527)	ORCID	33.56	21
24	A deep learning approach to injury forecasting in NBA basket… (10.3233/jsa-200529)	ORCID	33.56	21
25	Naive Bayes approach to predict the winner of an ODI cricket… (10.3233/jsa-200436)	ORCID	33.06	20
26	A machine learning approach to analyze ODI cricket predictor… (10.3233/jsa-17175)	ORCID	32.53	19
27	Spatial analysis of shots in MLS: A model for expected goals… (10.3233/jsa-170207)	ORCID	31.97	18
28	Random forest model identifies serve strength as a key predi… (10.3233/jsa-200515)	ORCID	31.97	18
29	No referee bias in the NBA: New evidence with leagues’ asses… (10.3233/jsa-150012)	ORCID	31.38	17
30	Predicting plays in the National Football League (10.3233/jsa-190348)	ORCID	31.38	17
31	Classification of all-rounders in limited over cricket - a m… (10.3233/jsa-200467)	ORCID	31.38	17
32	A causal approach for detecting team-level momentum in NBA g… (10.3233/jsa-220592)	ORCID	30.76	16
33	Using multi-class classification methods to predict baseball… (10.3233/jsa-170171)	ORCID	29.40	14
34	Exploring the wall in marathon running (10.3233/jsa-200354)	ORCID	29.40	14
35	A football player rating system (10.3233/jsa-200411)	ORCID	29.40	14
36	FIFA ranking: Evaluation and path forward (10.3233/jsa-200619)	ORCID	29.40	14
37	A quantitative approach to influential factors in One Day In… (10.3233/jsa-170260)	ORCID	28.65	13
38	“Power ranking” professional circuit eSports teams using mul… (10.3233/jsa-190420)	ORCID	28.65	13
39	A weighted network clustering approach in the NBA (10.3233/jsa-220584)	ORCID	28.65	13
40	Data analytics in performance of kick-out distribution and e… (10.3233/jsa-160158)	ORCID	27.85	12
41	Pitch actions that distinguish high scoring teams: Findings… (10.3233/jsa-16161)	ORCID	27.85	12
42	Are daily fantasy sports gambling? (10.3233/jsa-180240)	ORCID	27.85	12
43	Ranking regular seasons in the NBA’s Modern Era using grey r… (10.3233/jsa-160165)	ORCID	26.98	11
44	Prediction of the 2019 IHF World Men’s Handball Championship… (10.3233/jsa-200384)	ORCID	26.98	11
45	Analysing time pressure in professional tennis (10.3233/jsa-200406)	ORCID	26.03	10
46	Dynamically scheduling NFL games to reduce strength of sched… (10.3233/jsa-200428)	ORCID	26.03	10
47	The collection, analysis and exploitation of footballer attr… (10.3233/jsa-200554)	ORCID	26.03	10
48	Factors associated with match outcomes in elite European foo… (10.3233/jsa-240745)	ORCID	26.03	10
49	Exploring the potential of the plus/minus in NCAA women’s vo… (10.3233/jsa-180217)	ORCID	25.00	9
50	Evaluating NBA end-of-game decision-making (10.3233/jsa-180231)	ORCID	25.00	9