16 November 2025
•By Matt Robinson
•66 selections
Results: 16 November 2025 - Tough Day (-12.27pts)
Daily P&L
-12.27 pts
66 total bets
Strategy Breakdown
Win:-18.04 pts (10% SR)
Place:+4.10 pts (58% SR)
Lay:+1.67 pts (71% SR)
Not our best day, finishing -12.27 points. Despite our efforts and careful selection process, the results didn't align with our expectations. We closed with 66 total selections, where our strategies yielded mixed outcomes. However, every loss offers valuable lessons to analyze and improve for the future.
Win Selections
Our win strategy had a tough time today, yielding only 2 wins out of 21 bets, resulting in a disappointing strike rate of just 10%. Here's a closer look at our winners:
Crackerjacque - Fontwell 12:57
BetGoodwin Download The App Novices' Hurdle (GBB Race)
📊 Result: 1st (WON) | Odds: 1.67 | P&L: +0.67 pts
Crackerjacque showed remarkable speed and tenacity to secure victory here, displaying excellent form leading into the race.
Final Demand - Navan 3:07
Race And Stay Irish EBF Beginners Chase
📊 Result: 1st (WON) | Odds: 1.29 | P&L: +0.29 pts
This young horse ran an impressive race, capitalizing on our confidence in its potential and delivering a solid performance.
While we celebrate these wins, the overall performance highlights areas needing improvement within our win strategy.
Crackerjacque - Fontwell 12:57
BetGoodwin Download The App Novices' Hurdle (GBB Race)
📊 Result: 1st (WON) | Odds: 1.67 | P&L: +0.67 pts
Crackerjacque showed remarkable speed and tenacity to secure victory here, displaying excellent form leading into the race.
Final Demand - Navan 3:07
Race And Stay Irish EBF Beginners Chase
📊 Result: 1st (WON) | Odds: 1.29 | P&L: +0.29 pts
This young horse ran an impressive race, capitalizing on our confidence in its potential and delivering a solid performance.
While we celebrate these wins, the overall performance highlights areas needing improvement within our win strategy.
What Worked
Despite a rough day overall, some patterns stood out positively:
✓ Our confidence in Crackerjacque turned out well; favorable conditions and strong previous performances indicated it could perform well.
✓ Harley Street's failure to place highlighted that sometimes underdog odds create opportunities for profit if assessed correctly.
✓ Similarly, Final Demand's ability to win raises questions about how data can identify promising talent early in its career.
✓ Our confidence in Crackerjacque turned out well; favorable conditions and strong previous performances indicated it could perform well.
✓ Harley Street's failure to place highlighted that sometimes underdog odds create opportunities for profit if assessed correctly.
✓ Similarly, Final Demand's ability to win raises questions about how data can identify promising talent early in its career.
What Didn't Work
However, several factors also contributed negatively:
✗ Many horses performed better than anticipated; for example, both Salsinha and Ambiente Friendly, who were expected to show promise but finished poorly.
✗ Underestimating certain pace dynamics led us astray as horses like Ben Hur, which had longer odds yet still managed competitive finishes.
✗ A lack of diversity in selection types may have limited potential wins across various courses and race types today; focusing primarily on single types can skew results unfavorably in volatile racing environments.
✗ Many horses performed better than anticipated; for example, both Salsinha and Ambiente Friendly, who were expected to show promise but finished poorly.
✗ Underestimating certain pace dynamics led us astray as horses like Ben Hur, which had longer odds yet still managed competitive finishes.
✗ A lack of diversity in selection types may have limited potential wins across various courses and race types today; focusing primarily on single types can skew results unfavorably in volatile racing environments.
How RaceNet AI Learns & Improves
Moving forward from today's results requires thoughtful integration of learned lessons:
- We will feed back today's data into RaceNet for analysis concerning pacing and track conditions observed during races.
- Parameters for selecting horses will be reviewed based on where predictions fell short—specifically relating to long-shot performance inconsistencies.
- We'll implement new strategies aimed at diversifying selection methods across different courses and conditions observed today for improved results tomorrow.
- We will feed back today's data into RaceNet for analysis concerning pacing and track conditions observed during races.
- Parameters for selecting horses will be reviewed based on where predictions fell short—specifically relating to long-shot performance inconsistencies.
- We'll implement new strategies aimed at diversifying selection methods across different courses and conditions observed today for improved results tomorrow.
Looking Ahead
While today's loss of -12.27 points isn't what we aimed for, it's vital we take these experiences seriously as they shape future success through learning and adaptation. Each outcome feeds directly into enhancing Race-AI's algorithm to continue pushing forward toward profitable days ahead!
Full transparency: All selections, odds, and results disclosed. This is how we build trust and continuously improve RaceNet AI.
Disclaimer: Past performance does not guarantee future results. Betting carries risk. 18+ only.
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