GeM (Markov) Example

We set equal votes which means that if we convert them to weights are 0.25 for each game statistic. TW is the total wins, TG is the total goals, TST is the total shots on target and TS is the total shots. For the total wins (TW) statistic we have applied the method where a winning team gains a vote by each team that has beaten (VotingWithLosses). In the case of a tie, both teams cast a half vote. For the other statistics, in every game, each team votes according to the number of points lost by the other team (WinnersAndLosersVotePoint).

from ratingslib.datasets.filenames import dataset_path, FILENAME_EPL_2018_2019_20_GAMES
from ratingslib.ratings.markov import Markov
filename = dataset_path(FILENAME_EPL_2018_2019_20_GAMES)
votes = {
    'TW': {
        'VOTE': 10,
        'ITEM_I': 'FTHG',
        'ITEM_J': 'FTAG',
        'METHOD': 'VotingWithLosses'},
    'TG': {
        'VOTE': 10,
        'ITEM_I': 'FTHG',
        'ITEM_J': 'FTAG',
        'METHOD': 'WinnersAndLosersVotePoint'},
    'TST': {
        'VOTE': 10,
        'ITEM_I': 'HST',
        'ITEM_J': 'AST',
        'METHOD': 'WinnersAndLosersVotePoint'},
    'TS': {
        'VOTE': 10,
        'ITEM_I': 'HS',
        'ITEM_J': 'AS',
        'METHOD': 'WinnersAndLosersVotePoint'},
}
Markov(b=0.85, stats_markov_dict=votes).rate_from_file(filename)

	Item	rating	ranking
0	Arsenal	0.050470	11
1	Bournemouth	0.039076	15
2	Brighton	0.051460	10
3	Burnley	0.071596	2
4	Cardiff	0.024085	20
5	Chelsea	0.045033	13
6	Crystal Palace	0.037678	16
7	Everton	0.066307	3
8	Fulham	0.036356	17
9	Huddersfield	0.032164	19
10	Leicester	0.055491	7
11	Liverpool	0.056879	6
12	Man City	0.048325	12
13	Man United	0.061052	4
14	Newcastle	0.035814	18
15	Southampton	0.051716	9
16	Tottenham	0.053079	8
17	Watford	0.082788	1
18	West Ham	0.041824	14
19	Wolves	0.058807	5