Outcome Uncertainty and ESports Viewership: The Case of Overwatch League

Abstract

The uncertainty of outcome hypothesis (UOH) explains the consumption determinants of sports fans in professional sporting events. However, only limited studies exist in the esports field, and the relationship between UOH and spectatorship in esports is still unclear. This study examined the UOH in esports by analyzing the number of viewers of an esports league on an internet-based streaming platform (Twitch). We measured within-game and ex-ante expected game uncertainty and estimated their effects on the number of real-time viewers. The results show that within-game uncertainty significantly impacts the number of viewers, but ex-ante expected game uncertainty did not.

Keywords

esports online spectator determinants uncertainty outcome hypothesis viewership

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References

Alavy

Gaskell

Leach

Szymanski

(2010). On the edge of your seat: Demand for football on television and the uncertainty of outcome hypothesis. International Journal of Sport Finance, 5(2), 75–95.

Berkowitz

J. P.

Depken

C. A.

Wilson

D. P.

(2011). When going in circles is going backward: Outcome uncertainty in NASCAR. Journal of Sports Economics, 12(3), 253–283. https://doi.org/10.1177/1527002511404778

Blizzard Entertainment. (n.d.). About overwatch league . https://overwatchleague.com/en-us/about

Borland

MacDonald

(2003). Demand for sport. Oxford Review of Economic Policy, 19(4), 478–502. https://doi.org/10.1093/oxrep/19.4.478

Buraimo

Simmons

(2015). Uncertainty of outcome or star quality? Television audience demand for English Premier League football. International Journal of the Economics of Business, 22(3), 449–469. https://doi.org/10.1080/13571516.2015.1010282

Caruso

Addesa

Di Domizio

(2019). The determinants of the TV demand for soccer: Empirical evidence on Italian Serie A for the period 2008–2015. Journal of Sports Economics, 20(1), 25–49. https://doi.org/10.1177/1527002517717298

Chung

Lee

Y. H.

Kang

J. H.

(2016). Ex ante and ex post expectations of outcome uncertainty and baseball television viewership. Journal of Sports Economics, 17(8), 790–812. https://doi.org/10.1177/1527002514551002

Czarnitzki

Stadtmann

(2002). Uncertainty of outcome versus reputation: Empirical evidence for the First German Football Division. Empirical Economics, 27(1), 101–112. https://doi.org/10.1007/s181-002-8361-7

Forrest

Simmons

Buraimo

(2005). Outcome uncertainty and the couch potato audience. Scottish Journal of Political Economy, 52(4), 641–661. https://doi.org/10.1111/j.1467-9485.2005.00360.x

10.

Gooding

Stephenson

E. F.

(2017). Superstars, uncertainty of outcome, and PGA Tour television ratings. Journal of Sports Economics, 18(8), 867–875. https://doi.org/10.1177/1527002516637649

11.

Gros

Wanner

Hackenholt

Zawadzki

Knautz

(2017, July). World of streaming. Motivation and gratification on Twitch. In In international conference on social computing and social Media (pp. 44–57). Springer.

12.

Hallmann

Giel

(2018). Esports–competitive sports or recreational activity? Sport Management Review, 21(1), 14–20. https://doi.org/10.1016/j.smr.2017.07.011

13.

Hilvert-Bruce

Neill

J. T.

Sjöblom

Hamari

(2018). Social motivations of live-streaming viewer engagement on Twitch. Computers in Human Behavior, 84, 58–67. https://doi.org/10.1016/j.chb.2018.02.013

14.

Humphreys

B. R.

(2002). Alternative measures of competitive balance in sports leagues. Journal of Sports Economics, 3(2), 133–148. https://doi.org/10.1177/152700250200300203

15.

Jonasson

Thiborg

(2010). Electronic sport and its impact on future sport. Sport in Society, 13(2), 287–299. https://doi.org/10.1080/17430430903522996

16.

Kang

Salaga

Tainsky

Juravich

(2018). NCAA College basketball television viewership: Does preference for outcome uncertainty change throughout the season? International Journal of Sport Finance, 13(4), 373–391.

17.

Knowles

Sherony

Haupert

(1992). The demand for Major League Baseball: A test of the uncertainty of outcome hypothesis. The American Economist, 36(2), 72–80. https://doi.org/10.1177/056943459203600210

18.

Lee

Y. H.

Fort

(2008). Fan demand and the uncertainty of outcome hypothesis in baseball. Review of Industrial Organization, 33, 281–295. https://doi.org/10.1007/s11151-008-9193-9

19.

Lee

Y. H.

Jang

Fort

(2016). Just looking for a good game: Competitive balance in the Korean Professional Baseball League. Applied Economics, 48(33), 3104–3115. https://doi.org/10.1080/00036846.2015.1136393

20.

Nielsen Company. (2018). U.S. games 360 report: 2018. https://www.nielsen.com/us/en/insights/report/2018/us-games-360-report-2018/

21.

Kang

J. H.

(2022). Analysis of the sports broadcasting market in the television broadcasting industry. European Sport Management Quarterly, 22(6), 856–875. https://doi.org/10.1080/16184742.2020.1833957

22.

Paul

R. J.

Weinbach

A. P.

(2007). The uncertainty of outcome and scoring effects on Nielsen ratings for Monday Night Football. Journal of Economics and Business, 59(3), 199–211. https://doi.org/10.1016/j.jeconbus.2006.05.001

23.

Pawlowski

(2013). Testing the uncertainty of outcome hypothesis in European professional football: A stated preference approach. Journal of Sports Economics, 14(4), 341–367. https://doi.org/10.1177/1527002513496011

24.

Pizzo

A. D.

Baker

B. J.

Lee

M. A.

Kim

Funk

D. C.

(2018). Esport vs. sport: A comparison of spectator motives. Sport Marketing Quarterly, 27(2), 108–123.

25.

Pyun

, et al. (2023). Determinants of Esports highlight viewership: The case of league of legends champions Korea.

26.

Qian

T. Y.

Wang

J. J.

Zhang

J. J.

L. Z.

(2020). It is in the game: Dimensions of esports online spectator motivation and development of a scale. European Sport Management Quarterly, 20(4), 458–479. https://doi.org/10.1080/16184742.2019.1630464

27.

Rascher

D. A.

Solmes

J. P.

(2007). Do fans want close contests? A test of the uncertainty of outcome hypothesis in the national basketball association. International Journal of Sport Finance, 3(2), 130–141.

28.

Reitman

J. G.

Anderson-Coto

M. J.

Lee

J. S.

Steinkuehler

(2020). Esports research: A literature review. Games and Culture, 15(1), 32–50. https://doi.org/10.1177/1555412019840892

29.

Rietz

Hallmann

(2022). A systematic review on spectator behavior in esports: Why do people watch? International Journal of Sports Marketing and Sponsorship, 24, 38–55. https://doi.org/10.1108/IJSMS-12-2021-0241

30.

Rottenberg

(1956). The baseball players’ labor market. Journal of Political Economy, 64(3), 242–258. https://doi.org/10.1086/257790

31.

Salaga

Tainsky

(2015). The effects of outcome uncertainty, scoring, and pregame expectations on Nielsen ratings for Bowl Championship Series games. Journal of Sports Economics, 16(5), 439–459. https://doi.org/10.1177/1527002513497236

32.

Scelles

Peng

Valenti

(2021). Do the peculiar economics of professional team sports apply to esports? Sequential snowballing literature reviews and implications. Economies, 9(1), 31. https://doi.org/10.3390/economies9010031

33.

Schreyer

Schmidt

S. L.

Torgler

(2018). Game outcome uncertainty and television audience demand: New evidence from German football. German Economic Review, 19(2), 140–161. https://doi.org/10.1111/geer.12120

34.

Sjöblom

Hamari

(2017). Why do people watch others play video games? An empirical study on the motivations of Twitch users. Computers in Human Behavior, 75, 985–996. https://doi.org/10.1016/j.chb.2016.10.019

35.

Szymanski

(2003). The economic design of sporting contests. Journal of Economic Literature, 41(4), 1137–1187. https://doi.org/10.1257/jel.41.4.1137

36.

Tainsky

Salaga

Santos

C. A.

(2013). Determinants of pay-per-view broadcast viewership in sports: The case of the Ultimate Fighting Championship. Journal of Sport Management, 27(1), 43–58. https://doi.org/10.1123/jsm.27.1.43

37.

Tang

Cooper

Kucek

(2021). Gendered Esports: Predicting why men and women play and watch esports games. Journal of Broadcasting & Electronic Media, 65(3), 336–356. https://doi.org/10.1080/08838151.2021.1958815