def fill_matrix(func: Callable, symmetry: bool, matrix: np.ndarray,
table_map: TableMap, table: LeagueTable, half: Half):
verbose_message('Filling matrix for season {}'.format(table.season))
for fixture in table.season.fixtures():
home_team_position = table.team_position(fixture.home_team)
home_team_chunk_id = table_map.get_chunk(home_team_position)
away_team_position = table.team_position(fixture.away_team)
away_team_chunk_id = table_map.get_chunk(away_team_position)
if half == Half.both:
result = fixture.full_time()
elif half == Half.first:
result = fixture.first_half()
elif half == Half.second:
result = fixture.second_half()
else:
assert False
if result:
if func(result):
matrix[home_team_chunk_id][away_team_chunk_id] += 1
if symmetry:
matrix[away_team_chunk_id][home_team_chunk_id] += 1
def show_results(league: League, season: Season, results: List[str]):
matched = []
for fixture in season.fixtures():
result = fixture.full_time()
if result:
for given_result in results:
left, right = map(int, given_result.split('-'))
if left == result.left and right == result.right:
matched.append(fixture)
else:
messages.warning_message('Ignoring {}'.format(fixture))
if matched:
table = LeagueTable(season, Half.both)
print('>' * 40, season.year, '<' * 40)
for fixture in matched:
print('{:<2} vs {:<2}: {}'.format(
table.team_position(fixture.home_team) + 1,
table.team_position(fixture.away_team) + 1, fixture))
print()
def main(args: Namespace):
load_teams(args.database)
league = league_register[get_unique_league(args)]
load_league(args.database, league)
seasons = Season.seasons(league)
if not seasons:
messages.error_message("No season data found")
if args.history:
seasons = seasons[-args.history:]
if args.team:
(row, ) = extract_picked_team(args.database, args.team, league)
selected_team = Team.inventory[row[0]]
else:
selected_team = None
func = Event.get(get_unique_event(args))
if args.chunks:
data = compute_chunked_data(seasons, func, args.negate, args.venue,
args.half, args.chunks)
nrows = len(data)
if selected_team is not None:
ncols = 3
else:
ncols = 1
fig, axes = plt.subplots(nrows=len(data),
ncols=ncols,
figsize=(20, 13),
squeeze=False,
constrained_layout=True)
x_limit, _ = find_limits(data)
for i, datum in enumerate(data):
ax = axes[i, 0]
plot(ax, datum, x_limit, args.lines)
if selected_team is not None:
golden_season = seasons[-1]
golden_table = LeagueTable(golden_season, args.half)
golden_map = golden_table.group(args.chunks)
chunk_to_seasons = OrderedDict()
for chunk_id in range(golden_map.number_of_chunks()):
if chunk_id not in chunk_to_seasons:
chunk_to_seasons[chunk_id] = []
for season in seasons:
if season != golden_season:
table = LeagueTable(season, args.half)
table_map = table.group(args.chunks)
if selected_team in season.teams():
position = table.team_position(selected_team)
chunk_id = table_map.get_chunk(position)
chunk_to_seasons[chunk_id].append(season)
chunk_to_datum = OrderedDict()
for chunk_id, chunk_seasons in chunk_to_seasons.items():
if chunk_seasons:
datum = DataUnit(Counter(),
chunk_seasons,
team=selected_team,
positions=golden_map.get_rows(chunk_id))
chunk_to_datum[chunk_id] = datum
for season in seasons:
if season == golden_season:
position = golden_table.team_position(selected_team)
datum = DataUnit(Counter(), [golden_season],
team=selected_team,
positions=[position],
highlight=True)
golden_datum = datum
else:
if selected_team in season.teams():
table = LeagueTable(season, args.half)
table_map = table.group(args.chunks)
position = table.team_position(selected_team)
chunk_id = table_map.get_chunk(position)
datum = chunk_to_datum[chunk_id]
count_events(season, selected_team, args.venue, args.half,
func, args.negate, datum)
position = golden_table.team_position(selected_team)
chunk_id = golden_map.get_chunk(position)
ax = axes[chunk_id, 1]
plot(ax, golden_datum, x_limit, args.lines)
used = {(chunk_id, 1)}
for chunk_id, datum in chunk_to_datum.items():
ax = axes[chunk_id, 2]
plot(ax, datum, x_limit, args.lines)
used.add((chunk_id, 2))
for i in range(0, nrows):
for j in range(1, 3):
if (i, j) not in used:
fig.delaxes(axes[i, j])
else:
data = compute_aggregated_data(seasons, selected_team, func,
args.negate, args.venue, args.half)
x_limit, _ = find_limits(data)
display = DisplayGrid(len(data), 2)
fig, axes = plt.subplots(nrows=display.nrows,
ncols=display.ncols,
figsize=(20, 10),
squeeze=False)
for i, datum in enumerate(data):
cell_x, cell_y = display.index(i)
ax = axes[cell_x, cell_y]
plot(ax, datum, x_limit, args.lines)
title = construct_title(league, func, args.negate, args.venue, args.half)
fig.suptitle(title, fontweight='bold', fontsize=14)
plt.show(block=args.block)
def main(args: Namespace):
league = league_register[get_unique_league(args)]
load_database(args.database, league)
seasons = Season.seasons(league)
this_season = seasons.pop()
assert this_season.current
func = Event.get(get_unique_event(args))
for i in range(1, 38):
prediction = Prediction(func, i)
penalties = Counter()
for season in seasons:
table = LeagueTable(season, Half.both)
states = {team: TeamState() for team in season.teams()}
season.sort_fixtures()
fixture: Fixture
for fixture in season.fixtures():
if args.half == Half.both:
result = fixture.full_time()
elif args.half == Half.first:
result = fixture.first_half()
elif args.half == Half.second:
result = fixture.second_half()
if result:
home_result = fixture.canonicalise_result(
fixture.home_team, result)
home_outcome = prediction.func(home_result)
home_state = states[fixture.home_team]
if not home_outcome:
home_state.fixtures.append(fixture)
else:
if home_state.alive:
index = len(
home_state.fixtures) - prediction.minimum + 1
penalties[index] += 1
states[fixture.home_team] = TeamState()
if len(home_state.fixtures) == prediction.minimum:
final_position = table.team_position(fixture.home_team)
if final_position not in [
0, 1, len(table) - 2,
len(table) - 1
]:
home_state.alive = True
away_result = fixture.canonicalise_result(
fixture.away_team, result)
away_outcome = prediction.func(away_result)
away_state = states[fixture.away_team]
if not away_outcome:
away_state.fixtures.append(fixture)
else:
if away_state.alive:
index = len(
away_state.fixtures) - prediction.minimum + 1
penalties[index] += 1
states[fixture.away_team] = TeamState()
away_state.fixtures.append(fixture)
if len(away_state.fixtures) == prediction.minimum:
final_position = table.team_position(fixture.away_team)
if final_position not in [
0, 1, len(table) - 2,
len(table) - 1
]:
away_state.alive = True
total_penalty = 0
total_correct = 0
for distance, correct in penalties.items():
exponent = distance
this_penalty = 2**exponent - 1
total_penalty += this_penalty * correct
total_correct += correct
if total_penalty:
print(
'Betting from sequences of {} returns {} right with a penalty of {}'
.format(i, total_correct, total_penalty))