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2014 World Cup Tournament Predictions: wc-20140622-205351.csv

FiveThirtyEight's forecasts for the 2014 World Cup, including each team's SPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file name: wc-YYYYMMDD-HHMMSS.csv. All times are in GMT.

Header Definition
spi Soccer Power Index
spi_offense Soccer Power Index offensive rating
spi_defense Soccer Power Index defensive rating
win_group Change of coming in first place in the group stage
sixteen Chance of advancing to the knockout stage
quarter Chance of advancing to the quarter finals
semi Chance of advancing to the semi-finals
cup Chance of making it to the final game
win Chance of winning the whole thing

Note: Projections from June 27 onward reflect an improvement to FiveThirtyEight's methodology for projecting knockout-round results that estimates each team's probability of winning in extra time based on its SPI ratings. Projections prior to June 27 instead split all extra-time games 50-50.

For the World Cup predictions interactive, click here.

For an explanation of SPI, click here.

Data license: CC Attribution 4.0 License · Data source: fivethirtyeight/data on GitHub

32 rows sorted by group

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Suggested facets: group, win_group, sixteen, quarter, semi, cup, win

Link rowid country country_id group ▼ spi spi_offense spi_defense win_group sixteen quarter semi cup win
6 Brazil BRA a 91.07 3.1860000000000004 0.5158 0.9207 0.9942 0.7507434230353219 0.603698035872239 0.45799770239705706 0.35665989937439596
9 Cameroon CMR a 69.29 1.4838 1.1217 0.0 0.0 0.0 0.0 0.0 0.0
12 Croatia CRO a 79.49 2.0251 0.8508 0.038 0.393 0.12706289314225 0.06389454555509701 0.023215822646159 0.0053667139893210005
25 Mexico MEX a 78.43 1.4776 0.5368 0.0413 0.6128 0.18167401788360302 0.08589412016836298 0.028879464318128996 0.006104904264444
3 Australia AUS b 70.31 1.7889 1.3002 0.0 0.0 0.0 0.0 0.0 0.0
7 Chile CHI b 87.77 2.7354 0.6178 0.4043 1.0 0.4501401791314871 0.29591498909513103 0.161292176802226 0.071632752762048
15 Spain ESP b 85.74 2.4827 0.6531 0.0 0.0 0.0 0.0 0.0 0.0
26 Netherlands NED b 86.19 2.7961 0.8076 0.5957 1.0 0.490379486807256 0.31794634362198404 0.164257254163874 0.063729437816563
8 Ivory Coast CIV c 79.49 2.2641 1.0166 0.0113 0.7456 0.396753305397685 0.14882025379678698 0.055595345540515 0.013332926499347999
10 Colombia COL c 87.48 2.4192 0.4511 0.9887 1.0 0.6581171560781078 0.212505237350639 0.10649163583662599 0.05428381858030001
19 Greece GRE c 74.14 1.1789 0.5861 0.0 0.2137 0.09036643822917698 0.025415634750067 0.007162235064396999 0.0012281790206680001
23 Japan JPN c 73.36 1.97 1.2383 0.0 0.0407 0.016851014310482998 0.004544083945002 0.001197881081526 0.000188715572784
11 Costa Rica CRC d 78.52 1.5889 0.6109 0.8888 1.0 0.468605362836943 0.15617581181334197 0.053426209700626 0.011865500214628998
14 England ENG d 81.41 2.1295 0.7794 0.0 0.0 0.0 0.0 0.0 0.0
22 Italy ITA d 79.23 1.9415 0.8109 0.0535 0.5939 0.204453491681416 0.042397056228096 0.014268941354011001 0.004447468007765
31 Uruguay URU d 81.49 2.2409 0.8485 0.0577 0.4061 0.16485323146630898 0.042793887803178 0.016714247357006 0.005873087909285999
13 Ecuador ECU e 79.96 1.9882 0.7909999999999999 0.0033 0.3776 0.11580827893684299 0.052747897384450994 0.021929774227177 0.005298470502104999
16 France FRA e 87.81 2.7464 0.6204 0.9966 0.9999 0.7224180614921341 0.404977325593845 0.15655720083825 0.08380214565152601
20 Honduras HON e 68.3 1.5104 1.2044 0.0 0.0208 0.0037553013645109995 0.001079545657474 0.000275534719184 3.4825224913e-05
30 Switzerland SUI e 78.26 2.1701 1.0416 0.0001 0.6017 0.17037108619716101 0.073428359415329 0.028967396146895 0.006402794191511
2 Argentina ARG f 89.66 2.7413 0.4218 0.8916 1.0 0.722422350012624 0.49022799260819705 0.308102832725273 0.142115666188177
5 Bosnia and Herzegovina BIH f 79.44 2.199 0.9753 0.0 0.0 0.0 0.0 0.0 0.0
21 Iran IRN f 71.13 1.1454 0.7389 0.0 0.1282 0.024938176636487005 0.0063290861426349996 0.000888847419898 0.000201501305461
27 Nigeria NGA f 76.01 1.5294 0.7335 0.1084 0.8718 0.24028674536026395 0.07931872531548799 0.017649248828919998 0.004377692520601
17 Germany GER g 88.69 3.1804 0.7879 0.7487 0.9781 0.774715942894841 0.46258765917385497 0.21866545376094 0.122260508016135
18 Ghana GHA g 77.45 1.9154 0.9179999999999999 0.0 0.1557 0.066777797055776 0.021284467123358002 0.007999639309634 0.001645049639456
28 Portugal POR g 78.95 2.077 0.9259999999999999 0.0357 0.2273 0.11053050360597501 0.03845671190495201 0.014188277423056 0.0033995258855400003
32 USA USA g 78.67 2.1221 0.9784 0.2156 0.6389 0.32259695978504 0.11138151578675501 0.036218159952208 0.008993998189924999
1 Algeria ALG h 64.24 1.1759 1.1673 0.0375 0.464 0.075568010473102 0.013951597992921002 0.0016160432939789997 0.000251747366262
4 Belgium BEL h 81.79 2.1428 0.759 0.9625 1.0 0.49376570546361603 0.19275794009456199 0.085981933065787 0.023227767259389
24 South Korea KOR h 72.56 1.6908 1.0781 0.0 0.0214 0.004860458732567001 0.0012250230343660003 0.000179265536532 4.2247511684e-05
29 Russia RUS h 78.29 1.6109 0.6422 0.0 0.5146 0.151184621989104 0.050246152771788 0.010281476490105999 0.003232656535767

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CREATE TABLE "world-cup-predictions/wc-20140622-205351" (
"country" TEXT,
  "country_id" TEXT,
  "group" TEXT,
  "spi" REAL,
  "spi_offense" REAL,
  "spi_defense" REAL,
  "win_group" REAL,
  "sixteen" REAL,
  "quarter" REAL,
  "semi" REAL,
  "cup" REAL,
  "win" REAL
)
Powered by Datasette · Query took 23.557ms · Data license: CC Attribution 4.0 License · Data source: fivethirtyeight/data on GitHub