CS2 betting strategies
Bets the underdog at odds ≥ 3.0 — a solid dog. Fewer wins, but each pays triple; the variance and drawdowns are noticeably longer.
Bets the Elo model's underdog — the team with under 50% probability. Often the market underdog too, but driven by form and rating rather than the odds.
Bets the underdog at odds ≥ 3.0 — a solid dog. Fewer wins, but each pays triple; the variance and drawdowns are noticeably longer.
Bets the underdog at odds ≥ 3.0 — a solid dog. Fewer wins, but each pays triple; the variance and drawdowns are noticeably longer.
Bets the underdog at odds ≥ 3.0 — a solid dog. Fewer wins, but each pays triple; the variance and drawdowns are noticeably longer.
Bets the underdog at odds ≥ 3.0 — a solid dog. Fewer wins, but each pays triple; the variance and drawdowns are noticeably longer.
Bets the favorite of every match — the team with the lower odds. A simple baseline: hits often, but the low odds usually leave profit small or negative after the margin over the long run.
Bets only the heavy favorite at odds ≤ 1.5. Very high hit rate, but tiny odds: a single upset wipes out the profit from many wins.
Bets the underdog of every match — the team with the higher odds. Wins rarely, but each win pays back a losing streak. Needs strong nerves and bankroll discipline.
Bets the underdog at odds ≥ 2.0. The classic "undervalued underdog" idea: they pay at least double, so the strategy can profit even winning under half its bets.
Bets the underdog at odds ≥ 3.0 — a solid dog. Fewer wins, but each pays triple; the variance and drawdowns are noticeably longer.
Bets the clear underdog at odds ≥ 5.0. Rare but big wins with long losing streaks and deep drawdowns in between. Only for a large bankroll and patience.
Bets the clear underdog at odds ≥ 5.0. Rare but big wins with long losing streaks and deep drawdowns in between. Only for a large bankroll and patience.
Bets the clear underdog at odds ≥ 5.0. Rare but big wins with long losing streaks and deep drawdowns in between. Only for a large bankroll and patience.
Bets the clear underdog at odds ≥ 5.0. Rare but big wins with long losing streaks and deep drawdowns in between. Only for a large bankroll and patience.
Bets the clear underdog at odds ≥ 5.0. Rare but big wins with long losing streaks and deep drawdowns in between. Only for a large bankroll and patience.
Bets the clear underdog at odds ≥ 5.0. Rare but big wins with long losing streaks and deep drawdowns in between. Only for a large bankroll and patience.
Bets the clear underdog at odds ≥ 5.0. Rare but big wins with long losing streaks and deep drawdowns in between. Only for a large bankroll and patience.
Bets the Elo model's favorite — the team the model gives over 50% to win, regardless of odds. Pits the model's view against the market.
Bets the Elo model's underdog — the team with under 50% probability. Often the market underdog too, but driven by form and rating rather than the odds.
Value bets: only bet when odds × model probability − 1 ≥ 5%, i.e. the market underrates the outcome. The core "value" strategy: positive expected value matters more than the hit rate.
Value bets: only bet when odds × model probability − 1 ≥ 5%, i.e. the market underrates the outcome. The core "value" strategy: positive expected value matters more than the hit rate.
Value bets: only bet when odds × model probability − 1 ≥ 5%, i.e. the market underrates the outcome. The core "value" strategy: positive expected value matters more than the hit rate.
Value bets: only bet when odds × model probability − 1 ≥ 5%, i.e. the market underrates the outcome. The core "value" strategy: positive expected value matters more than the hit rate.
Value bets: only bet when odds × model probability − 1 ≥ 5%, i.e. the market underrates the outcome. The core "value" strategy: positive expected value matters more than the hit rate.
Value bets: only bet when odds × model probability − 1 ≥ 5%, i.e. the market underrates the outcome. The core "value" strategy: positive expected value matters more than the hit rate.
Value bets: only bet when odds × model probability − 1 ≥ 5%, i.e. the market underrates the outcome. The core "value" strategy: positive expected value matters more than the hit rate.
Value on the underdog: the same ≥ 5% edge, but only on a team at odds ≥ 2.0. Hunting underrated dogs — rarer, with bigger payouts.
Value on the underdog: the same ≥ 5% edge, but only on a team at odds ≥ 2.0. Hunting underrated dogs — rarer, with bigger payouts.
Value on the underdog: the same ≥ 5% edge, but only on a team at odds ≥ 2.0. Hunting underrated dogs — rarer, with bigger payouts.
Value on the underdog: the same ≥ 5% edge, but only on a team at odds ≥ 2.0. Hunting underrated dogs — rarer, with bigger payouts.
Value on the underdog: the same ≥ 5% edge, but only on a team at odds ≥ 2.0. Hunting underrated dogs — rarer, with bigger payouts.
Value on the underdog: the same ≥ 5% edge, but only on a team at odds ≥ 2.0. Hunting underrated dogs — rarer, with bigger payouts.
Value on the underdog: the same ≥ 5% edge, but only on a team at odds ≥ 2.0. Hunting underrated dogs — rarer, with bigger payouts.
Bets only the heavy favorite at odds ≤ 1.5. Very high hit rate, but tiny odds: a single upset wipes out the profit from many wins.
Bets only the heavy favorite at odds ≤ 1.5. Very high hit rate, but tiny odds: a single upset wipes out the profit from many wins.
Bets only the heavy favorite at odds ≤ 1.5. Very high hit rate, but tiny odds: a single upset wipes out the profit from many wins.
Bets only the heavy favorite at odds ≤ 1.5. Very high hit rate, but tiny odds: a single upset wipes out the profit from many wins.
Bets the underdog at odds ≥ 2.0. The classic "undervalued underdog" idea: they pay at least double, so the strategy can profit even winning under half its bets.
Bets the underdog at odds ≥ 2.0. The classic "undervalued underdog" idea: they pay at least double, so the strategy can profit even winning under half its bets.
Bets only the heavy favorite at odds ≤ 1.5. Very high hit rate, but tiny odds: a single upset wipes out the profit from many wins.
Bets the underdog at odds ≥ 2.0. The classic "undervalued underdog" idea: they pay at least double, so the strategy can profit even winning under half its bets.
Bets the underdog at odds ≥ 2.0. The classic "undervalued underdog" idea: they pay at least double, so the strategy can profit even winning under half its bets.
Bets the underdog of every match — the team with the higher odds. Wins rarely, but each win pays back a losing streak. Needs strong nerves and bankroll discipline.
Bets the underdog of every match — the team with the higher odds. Wins rarely, but each win pays back a losing streak. Needs strong nerves and bankroll discipline.
Bets the underdog of every match — the team with the higher odds. Wins rarely, but each win pays back a losing streak. Needs strong nerves and bankroll discipline.
Bets only the heavy favorite at odds ≤ 1.5. Very high hit rate, but tiny odds: a single upset wipes out the profit from many wins.
Bets the Elo model's underdog — the team with under 50% probability. Often the market underdog too, but driven by form and rating rather than the odds.
Bets the Elo model's underdog — the team with under 50% probability. Often the market underdog too, but driven by form and rating rather than the odds.
Bets the favorite of every match — the team with the lower odds. A simple baseline: hits often, but the low odds usually leave profit small or negative after the margin over the long run.
Bets the Elo model's favorite — the team the model gives over 50% to win, regardless of odds. Pits the model's view against the market.
Bets the underdog at odds ≥ 3.0 — a solid dog. Fewer wins, but each pays triple; the variance and drawdowns are noticeably longer.
Bets the underdog at odds ≥ 2.0. The classic "undervalued underdog" idea: they pay at least double, so the strategy can profit even winning under half its bets.
Bets the underdog of every match — the team with the higher odds. Wins rarely, but each win pays back a losing streak. Needs strong nerves and bankroll discipline.
Bets the Elo model's underdog — the team with under 50% probability. Often the market underdog too, but driven by form and rating rather than the odds.
Bets the favorite of every match — the team with the lower odds. A simple baseline: hits often, but the low odds usually leave profit small or negative after the margin over the long run.
Bets the Elo model's favorite — the team the model gives over 50% to win, regardless of odds. Pits the model's view against the market.
Bets the underdog at odds ≥ 2.0. The classic "undervalued underdog" idea: they pay at least double, so the strategy can profit even winning under half its bets.
Bets the favorite of every match — the team with the lower odds. A simple baseline: hits often, but the low odds usually leave profit small or negative after the margin over the long run.
Bets the Elo model's favorite — the team the model gives over 50% to win, regardless of odds. Pits the model's view against the market.
Bets the underdog of every match — the team with the higher odds. Wins rarely, but each win pays back a losing streak. Needs strong nerves and bankroll discipline.
Bets the favorite of every match — the team with the lower odds. A simple baseline: hits often, but the low odds usually leave profit small or negative after the margin over the long run.
Bets the Elo model's favorite — the team the model gives over 50% to win, regardless of odds. Pits the model's view against the market.
Bets the Elo model's underdog — the team with under 50% probability. Often the market underdog too, but driven by form and rating rather than the odds.
Bets the underdog of every match — the team with the higher odds. Wins rarely, but each win pays back a losing streak. Needs strong nerves and bankroll discipline.
Bets the Elo model's underdog — the team with under 50% probability. Often the market underdog too, but driven by form and rating rather than the odds.
Bets the favorite of every match — the team with the lower odds. A simple baseline: hits often, but the low odds usually leave profit small or negative after the margin over the long run.
Bets the Elo model's favorite — the team the model gives over 50% to win, regardless of odds. Pits the model's view against the market.
Bets the favorite of every match — the team with the lower odds. A simple baseline: hits often, but the low odds usually leave profit small or negative after the margin over the long run.