Telegram Channel Alert Bot
Budget: $25 – $50 USD
I am looking for an experienced developer to build a Football Corner Intelligence Bot that analyzes matches and
generates smart corner betting signals via Telegram.
Data Analysis & Intelligence Engine
I am NOT looking for a simple corner statistics bot.
I want the bot to analyze matches similarly to how a human football analyst would evaluate corner betting opportunities.
The system should consider multiple factors before generating a signal.
1. Team Strength Analysis
The bot should not only analyze overall corner averages.
It should also analyze:
- Home corner statistics
- Away corner statistics
- Corners created
- Corners conceded
- Team attacking production
- Team defensive weakness
Example:
Real Madrid Home Corners Avg:
6.4
Barcelona Away Corners Avg:
5.7
Corners Conceded:
4.9
2. Match Context Analysis
The bot should evaluate the importance of the match.
Examples:
- Title race
- Relegation battle
- Derby match
- Cup competition
- First leg
- Second leg
- Must-win situations
A high-pressure match may generate a different corner profile than a low-importance match.
3. Tactical Profile Analysis
The bot should identify team playing styles.
Examples:
- Cross-heavy teams
- Possession-heavy teams
- Counter-attacking teams
- Low-block teams
Teams that generate many crosses and sustained attacking pressure often produce more corners.
4. Recent Momentum Analysis
The bot should not rely only on season averages.
The system should analyze:
- Last 3 matches
- Last 5 matches
- Last 10 matches
The objective is to identify recent trends and momentum changes.
5. Lineup Analysis
If lineup data is available, the bot should evaluate:
- Wingers available
- Fullbacks available
- Main striker available
- Key attacking players missing
- Rotation risks
Missing attacking players may significantly reduce corner projections.
6. H2H Intelligence
The bot should not only calculate H2H averages.
Examples:
Average H2H Corners:
10.2
But also:
- 4 of last 5 meetings finished with 10+ corners
- 3 of last 5 meetings finished with 11+ corners
7. Signal Selection Engine
The bot should evaluate multiple corner markets and identify the strongest opportunity.
Examples:
- Total Match Corners
- Team A Total Corners
- Team B Total Corners
- First Half Corners
- Second Half Corners
The bot should NOT simply send every available signal.
The system should rank all available opportunities and select the strongest one.
Signal Output Example
LA LIGA - ROUND 32
Real Madrid vs Barcelona
MATCH INTELLIGENCE
Real Home Corners Avg:
6.4
Barcelona Away Corners Avg:
5.7
Combined Projection:
11.4
Recent H2H:
11.1
Lineups:
Attacking lineups confirmed
━━━━━━━━━━━━━━
BEST SIGNAL
Market:
Barcelona Over 4.5 Team Corners
Projected:
6.2
Confidence:
91%
Rating:
ELITE
━━━━━━━━━━━━━━
Reason:
Barcelona's away corner production and Real Madrid's defensive profile create the strongest edge among all available corner markets.
Important
The signal should include:
- Projection
- Confidence Score
- Reasoning
I want the bot to explain WHY the signal was generated, not only provide a recommendation.
generates smart corner betting signals via Telegram.
Data Analysis & Intelligence Engine
I am NOT looking for a simple corner statistics bot.
I want the bot to analyze matches similarly to how a human football analyst would evaluate corner betting opportunities.
The system should consider multiple factors before generating a signal.
1. Team Strength Analysis
The bot should not only analyze overall corner averages.
It should also analyze:
- Home corner statistics
- Away corner statistics
- Corners created
- Corners conceded
- Team attacking production
- Team defensive weakness
Example:
Real Madrid Home Corners Avg:
6.4
Barcelona Away Corners Avg:
5.7
Corners Conceded:
4.9
2. Match Context Analysis
The bot should evaluate the importance of the match.
Examples:
- Title race
- Relegation battle
- Derby match
- Cup competition
- First leg
- Second leg
- Must-win situations
A high-pressure match may generate a different corner profile than a low-importance match.
3. Tactical Profile Analysis
The bot should identify team playing styles.
Examples:
- Cross-heavy teams
- Possession-heavy teams
- Counter-attacking teams
- Low-block teams
Teams that generate many crosses and sustained attacking pressure often produce more corners.
4. Recent Momentum Analysis
The bot should not rely only on season averages.
The system should analyze:
- Last 3 matches
- Last 5 matches
- Last 10 matches
The objective is to identify recent trends and momentum changes.
5. Lineup Analysis
If lineup data is available, the bot should evaluate:
- Wingers available
- Fullbacks available
- Main striker available
- Key attacking players missing
- Rotation risks
Missing attacking players may significantly reduce corner projections.
6. H2H Intelligence
The bot should not only calculate H2H averages.
Examples:
Average H2H Corners:
10.2
But also:
- 4 of last 5 meetings finished with 10+ corners
- 3 of last 5 meetings finished with 11+ corners
7. Signal Selection Engine
The bot should evaluate multiple corner markets and identify the strongest opportunity.
Examples:
- Total Match Corners
- Team A Total Corners
- Team B Total Corners
- First Half Corners
- Second Half Corners
The bot should NOT simply send every available signal.
The system should rank all available opportunities and select the strongest one.
Signal Output Example
LA LIGA - ROUND 32
Real Madrid vs Barcelona
MATCH INTELLIGENCE
Real Home Corners Avg:
6.4
Barcelona Away Corners Avg:
5.7
Combined Projection:
11.4
Recent H2H:
11.1
Lineups:
Attacking lineups confirmed
━━━━━━━━━━━━━━
BEST SIGNAL
Market:
Barcelona Over 4.5 Team Corners
Projected:
6.2
Confidence:
91%
Rating:
ELITE
━━━━━━━━━━━━━━
Reason:
Barcelona's away corner production and Real Madrid's defensive profile create the strongest edge among all available corner markets.
Important
The signal should include:
- Projection
- Confidence Score
- Reasoning
I want the bot to explain WHY the signal was generated, not only provide a recommendation.