2014 World Cup Tournament Predictions: wc-20140616-182949.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 63.35 1.1188 1.166 0.0607 0.2021 0.033816542569478 0.006114252120267 0.000813460141238 9.5378260268e-05
2 2 Argentina ARG f 90.51 2.901 0.4164 0.8968 0.9811 0.714535469764095 0.52716680771004 0.347334173214371 0.159119443366043
3 3 Australia AUS b 68.84 1.649 1.2804 0.0014 0.0185 0.001536605620848 0.000417526285491 8.1371722446e-05 1.2114490154e-05
4 4 Belgium BEL h 82.1 2.1462 0.7351 0.4968 0.7802 0.360053828317222 0.137544906762502 0.052888345971581 0.01447133703105
5 5 Bosnia and Herzegovina BIH f 80.81 2.3194 0.9513 0.0298 0.5239 0.214434705079904 0.081608872552638 0.019508795675246 0.006581143726846
6 6 Brazil BRA a 91.61 3.3851 0.5567 0.9651 0.9986 0.791520947042528 0.664015974723537 0.523098157176441 0.412623314983512
7 7 Chile CHI b 86.77 2.7182 0.702 0.3152 0.7776 0.32649007837165 0.207039703961354 0.105775392801819 0.041407898505062
8 8 Ivory Coast CIV c 79.11 2.2107 1.0052 0.2248 0.79 0.398514758785625 0.12703286257731 0.044130676207615 0.01005632071382
9 9 Cameroon CMR a 70.02 1.3536 0.9693 0.0004 0.0331 0.006656570176216 0.002280519023282 0.000512747587615 6.4313880134e-05
10 10 Colombia COL c 87.62 2.3961 0.4209 0.7551 0.9627 0.638426495239688 0.218967928315851 0.111385116459288 0.050054788383472
11 11 Costa Rica CRC d 77.4 1.592 0.6859 0.4006 0.7138 0.284392582522351 0.075994855960295 0.02358543400625 0.004906054353158
12 12 Croatia CRO a 76.37 1.8136 0.9164 0.0034 0.3885 0.107109960073685 0.046098452395483 0.01383939406015 0.002423438375686
13 13 Ecuador ECU e 79.78 1.9875 0.8012 0.0295 0.1956 0.061277483873865 0.027860286091582 0.010385888601336 0.002379083344032
14 14 England ENG d 82.19 2.1702 0.744 0.0898 0.3271 0.149321892006044 0.040724496449871 0.016098271633555 0.005071055611345
15 15 Spain ESP b 86.75 2.6107 0.6378 0.0264 0.243 0.066446721590112 0.039353191706735 0.019810319825045 0.00873577379438
16 16 France FRA e 87.49 2.6233 0.5744 0.7088 0.9311 0.577490168227595 0.311505717898534 0.120420293320914 0.055744891492631
17 17 Germany GER g 88.87 3.1985 0.7763 0.8719 0.9751 0.760154551018833 0.486298499318273 0.202611947303062 0.113980893157367
18 18 Ghana GHA g 77.37 1.9046 0.9141 0.0538 0.3524 0.170193672413243 0.050394645035542 0.016681173636964 0.003290677667855
19 19 Greece GRE c 74.35 1.292 0.6577 0.0094 0.1456 0.059750126256784 0.01713650325023 0.004649817492274 0.000739261803408
20 20 Honduras HON e 68.35 1.5065 1.1953 0.0052 0.0716 0.011355051096224 0.003475494002917 0.000833326490251 9.7611149254e-05
21 21 Iran IRN f 70.6 1.2978 0.8898 0.0231 0.1818 0.046453841804145 0.011251819932085 0.001743290907938 0.000305453880747
22 22 Italy ITA d 80.14 2.0362 0.8086 0.45 0.7478 0.337568227765774 0.106015471806184 0.037869138061877 0.009175993330251
23 23 Japan JPN c 73.12 2.0752 1.3316 0.0107 0.1017 0.039975200660826 0.010290926559425 0.002578083566851 0.000368189864653
24 24 South Korea KOR h 72.42 1.6882 1.0828 0.1441 0.3861 0.09774799198816 0.024188107652124 0.004867883155621 0.000806054733978
25 25 Mexico MEX a 77.47 1.5187 0.6278 0.0311 0.5798 0.165799743957665 0.072418330327988 0.022404032943477 0.004114165730269
26 26 Netherlands NED b 86.87 2.8015 0.7438 0.657 0.9609 0.534439373167308 0.348379982746741 0.179161091979277 0.065972696559731
27 27 Nigeria NGA f 75.02 1.6593 0.8921 0.0503 0.3132 0.099294558452808 0.030072134381273 0.006102091518788 0.001322388041733
28 28 Portugal POR g 80.92 2.1411 0.8218 0.0135 0.3045 0.166777622812808 0.057321316328499 0.024171675466025 0.005711953293453
29 29 Russia RUS h 78.95 1.6554 0.6267 0.2984 0.6316 0.229338049522111 0.075063120896798 0.021943097151759 0.005103749504671
30 30 Switzerland SUI e 79.31 2.0712 0.8939 0.2565 0.8017 0.275158721701372 0.115209073237374 0.037491267996849 0.008937602820852
31 31 Uruguay URU d 80.77 2.1806 0.8603 0.0596 0.2113 0.092050716762812 0.023833273910238 0.008924428738511 0.002637089738336
32 32 USA USA g 77.53 2.0458 1.0036 0.0608 0.368 0.181917741358269 0.054924946079557 0.01829981518557 0.003689868411849

Advanced export

JSON shape: default, array, newline-delimited

CSV options: 

CREATE TABLE "world-cup-predictions/wc-20140616-182949" (
"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
);