2014 World Cup Tournament Predictions: wc-20140609-140000.csv

Table actions

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 · About: simonw/fivethirtyeight-datasette

32 rows

✎ View and edit SQL

This data as json, copyable, CSV (advanced)

Suggested facets: group

Link rowid ▼ country country_id group spi spi_offense spi_defense win_group sixteen quarter semi cup win
1 1 Algeria ALG h 63.43 1.1208 1.1636 0.0631 0.2032 0.03851712280305 0.007996157433279 0.001020556850644 0.000126121865295
2 2 Argentina ARG f 90.0 2.8541 0.4494 0.735 0.9279 0.669903889443086 0.468159129861153 0.281757750867221 0.127798660739543
3 3 Australia AUS b 69.45 1.6395 1.2349 0.0151 0.0762 0.009646462233817 0.002942524012096 0.000670655788628 9.3109051375e-05
4 4 Belgium BEL h 81.97 2.1373 0.741 0.4781 0.7688 0.351536423472173 0.148459308004488 0.054136397737394 0.014903717511312
5 5 Bosnia and Herzegovina BIH f 80.31 2.3113 0.9861 0.1599 0.5589 0.261950024181117 0.112097842297838 0.031610913342473 0.008963820648495
6 6 Brazil BRA a 91.83 3.3686 0.5175 0.95 0.994 0.804478884450903 0.697589597096247 0.565822588812143 0.453437174610376
7 7 Chile CHI b 86.72 2.7113 0.7043 0.3392 0.6951 0.324846121913627 0.205733455034635 0.11033711304849 0.041898695776314
8 8 Ivory Coast CIV c 78.9 2.2467 1.048 0.2317 0.5287 0.24374784325009 0.067887090450013 0.025095588667112 0.006043722947174
9 9 Cameroon CMR a 71.33 1.4798 0.9904 0.0079 0.2272 0.050187385575924 0.01698308960148 0.0043800391888 0.000585434861474
10 10 Colombia COL c 85.82 2.1813 0.4528 0.5156 0.7794 0.457762506824671 0.149779427964238 0.073364418039085 0.028029927914408
11 11 Costa Rica CRC d 74.07 1.3227 0.6993 0.0945 0.2622 0.100049602883884 0.018857900330671 0.005468305054972 0.001068778788604
12 12 Croatia CRO a 75.72 1.7517 0.9161 0.0188 0.3808 0.102780192060054 0.041272006247888 0.012855375488164 0.00217049070814
13 13 Ecuador ECU e 80.65 2.0299 0.7683 0.2364 0.5583 0.230000434592088 0.101267804170091 0.032383162168102 0.008657282801053
14 14 England ENG d 83.22 2.2079 0.6889 0.3474 0.6318 0.350894745784927 0.119919689750849 0.052928232205708 0.016036478113868
15 15 Spain ESP b 89.13 2.6879 0.4468 0.4914 0.8003 0.455723538506813 0.310964619818756 0.182879904720425 0.076761496863487
16 16 France FRA e 86.12 2.4851 0.619 0.54 0.7974 0.452428491629849 0.245063184438084 0.090112508873652 0.037191840395955
17 17 Germany GER g 88.87 3.1937 0.7755 0.6799 0.8806 0.683824569020036 0.448736055292883 0.196900878690128 0.106981061567489
18 18 Ghana GHA g 77.23 1.9076 0.9275 0.0814 0.3161 0.155059907343112 0.05265742656114 0.015753947014718 0.003224608429343
19 19 Greece GRE c 76.78 1.3357 0.5395 0.1458 0.3919 0.156767526184398 0.039476103888973 0.012603960830937 0.002504080622099
20 20 Honduras HON e 69.62 1.5622 1.1624 0.055 0.1984 0.047903360896607 0.014064631295591 0.002989010152518 0.000414407016756
21 21 Iran IRN f 70.63 1.2966 0.8879 0.0339 0.1958 0.05913824518343 0.015941164411905 0.002499168356307 0.000441877591171
22 22 Italy ITA d 79.49 1.9814 0.8195 0.2038 0.4577 0.217790424141203 0.056716503091826 0.021080310411438 0.005310448215507
23 23 Japan JPN c 73.5 2.1313 1.3487 0.1069 0.3 0.106262132387176 0.02310822225633 0.006379715262849 0.001025400304521
24 24 South Korea KOR h 72.38 1.6901 1.0877 0.1484 0.3948 0.103997024167983 0.029226444640991 0.00552887738162 0.000958832531394
25 25 Mexico MEX a 76.95 1.5534 0.6888 0.0233 0.398 0.113042305295909 0.046766312917696 0.015304940195237 0.00273507086292
26 26 Netherlands NED b 82.49 2.3128 0.817 0.1543 0.4284 0.139295109962927 0.073126049369133 0.031512227702375 0.009363735915568
27 27 Nigeria NGA f 75.23 1.6677 0.8861 0.0712 0.3174 0.11734072473834 0.038951318733236 0.008085589120883 0.001768245703567
28 28 Portugal POR g 81.02 2.1409 0.8161 0.1502 0.4805 0.269608935686045 0.110292472220377 0.038370712452957 0.010010823367156
29 29 Russia RUS h 79.03 1.6564 0.6236 0.3104 0.6332 0.23686787656471 0.086606876112849 0.024586170958073 0.005797379778698
30 30 Switzerland SUI e 78.05 1.9844 0.9249 0.1686 0.4459 0.161334829335447 0.064760112460499 0.018915572842927 0.004287774988087
31 31 Uruguay URU d 83.35 2.2396 0.6998 0.3543 0.6483 0.366725218543659 0.128877408169174 0.057833786301493 0.017892458359948
32 32 USA USA g 77.42 2.047 1.0139 0.0885 0.3228 0.160588140942895 0.05572007206556 0.016831621472528 0.003517041148902

Advanced export

JSON shape: default, array, newline-delimited

CSV options: 

CREATE TABLE "world-cup-predictions/wc-20140609-140000" (
"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
);