CLI & library to compute sports bet hedging scenarios — guaranteed profit regardless of outcome.
Project description
bet-hedge-calculator
A CLI tool and Python library for computing sports bet hedging scenarios.
Given a bet already placed on Team A, it shows you exactly what odds and stake you need on Team B to guarantee a fixed profit — regardless of which team wins.
Installation
pip install bet-hedge-calculator
CLI Usage
After installation a bet-hedge-calc command is available globally.
Interactive mode (prompts for input):
bet-hedge-calc
Direct mode (pass values as flags):
bet-hedge-calc --odds-a 2.50 --stake-a 100
Custom ROI range and step:
bet-hedge-calc --odds-a 3.0 --stake-a 200 --roi-min -10 --roi-max 100 --roi-step 2.5
All options:
--odds-a Decimal odds of Team A (e.g. 2.50)
--stake-a Your stake on Team A (e.g. 100)
--roi-min Minimum target ROI % (default: -20)
--roi-max Maximum target ROI % (default: 200)
--roi-step ROI step size in % (default: 5)
--currency Currency symbol (default: £)
Example output
═══ Bet Hedging Calculator ═══
╭─────────────────────────────────────────────────────────────────────────────────────╮
│ Hedging Calculator — Team A odds: 2.5 | Stake on A: £100.00 │
├───────────────┬─────────────────┬───────────────┬─────────────────┬───────────────┤
│ Target ROI │ Required Odds B │ Stake on B │ Total Invested │ Guaranteed │
│ │ │ (£) │ (£) │ Profit (£) │
├───────────────┼─────────────────┼───────────────┼─────────────────┼───────────────┤
│ -20.0% │ 1.1765 │ £212.50 │ £312.50 │ -£62.50 │
│ -15.0% │ 1.2195 │ £205.00 │ £305.00 │ -£45.75 │
│ -10.0% │ 1.2658 │ £197.50 │ £297.50 │ -£29.75 │
│ -5.0% │ 1.3158 │ £190.00 │ £290.00 │ -£14.50 │
│ 0.0% │ 1.6667 │ £150.00 │ £250.00 │ £0.00 │
│ +5.0% │ 1.7500 │ £142.86 │ £242.86 │ £12.14 │
│ +10.0% │ 1.8333 │ £136.36 │ £236.36 │ £23.64 │
│ +20.0% │ 2.0000 │ £125.00 │ £225.00 │ £45.00 │
│ +50.0% │ 2.5000 │ £100.00 │ £200.00 │ £100.00 │
│ +100.0% │ — │ — │ — │ — │
│ │ Not achievable │
╰─────────────────────────────────────────────────────────────────────────────────────╯
Python API
Import the library directly to get raw data or render the table programmatically.
Get hedging data
from bet_hedge_calculator import calculate_scenarios
scenarios = calculate_scenarios(odds_a=2.5, stake_a=100)
for s in scenarios:
if s.valid:
print(f"ROI {s.roi_pct:+.1f}% → odds B: {s.odds_b:.4f} | stake B: £{s.stake_b:.2f} | profit: £{s.guaranteed_profit:.2f}")
Output:
ROI -20.0% → odds B: 1.1765 | stake B: £212.50 | profit: £-62.50
ROI -15.0% → odds B: 1.2195 | stake B: £205.00 | profit: £-45.75
...
ROI +10.0% → odds B: 1.8333 | stake B: £136.36 | profit: £23.64
Render the rich table
from bet_hedge_calculator import calculate_scenarios, render_table
scenarios = calculate_scenarios(odds_a=2.5, stake_a=100)
render_table(scenarios, odds_a=2.5, stake_a=100, currency="$")
Single scenario
from bet_hedge_calculator import calculate_scenario
s = calculate_scenario(odds_a=3.0, stake_a=200, roi=0.10) # 10% ROI
if s.valid:
print(f"Stake £{s.stake_b:.2f} on Team B at odds {s.odds_b:.4f}")
print(f"Guaranteed profit: £{s.guaranteed_profit:.2f}")
Custom ROI range
from bet_hedge_calculator import calculate_scenarios
scenarios = calculate_scenarios(
odds_a=2.5,
stake_a=100,
roi_min_pct=0.0,
roi_max_pct=50.0,
roi_step_pct=2.5,
)
HedgeScenario dataclass
Each scenario is a HedgeScenario with these fields:
| Field | Type | Description |
|---|---|---|
roi_pct |
float |
Target ROI in percent (e.g. 10.0) |
valid |
bool |
False when the scenario is mathematically unachievable |
odds_b |
float | None |
Required decimal odds for Team B |
stake_b |
float | None |
Required stake on Team B |
total_invested |
float | None |
Combined stake on A + B |
guaranteed_profit |
float | None |
Profit regardless of outcome |
The maths
For a bet already placed on Team A (decimal odds O_A, stake S_A), we want a guaranteed profit P regardless of which team wins:
If A wins: S_A × O_A − S_A − S_B = P
If B wins: S_B × O_B − S_B − S_A = P
Both equations give S_A × O_A = S_B × O_B, so:
O_B = O_A × (1 + ROI) / (O_A − 1 − ROI)
S_B = S_A × O_A / O_B
This is valid only when ROI < O_A − 1. Rows outside this range are marked Not achievable.
Development
git clone https://github.com/your-username/bet-hedge-calculator
cd bet-hedge-calculator
python -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"
pytest tests/ -v
License
MIT
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