Alaves
VS
Girona
Under 2.5
Everton
VS
Man. Utd
X2
Bologna
VS
Udinese
1X
Fiorentina
VS
Pisa
Over 1.5
Villarreal
VS
Valencia
Under 3.5
Strasbourg
VS
Lyon
Over 1.5
AS Roma
VS
Cremonese
Under 3.5
Celta Vigo
VS
Mallorca
1
Tottenham
VS
Arsenal
Over 1.5
Nice
VS
Lorient
Under 3.5
25th February Free AI Predictions
| Date / League | Fixture | Prediction | Confidence |
|---|---|---|---|
|
World
Today
•
20:00
|
Real Madrid
VS
Benfica
|
Over 2.5
Over 2.5
70%
|
70%
|
|
World
Today
•
17:45
|
Atalanta
VS
Dortmund
|
Under 3.5
Under 3.5
41%
|
41%
|
|
Segunda División
Today
•
18:00
|
Ceuta
VS
Cordoba
|
AS
AS
88%
|
88%
|
|
Argentina
Today
•
22:30
|
Velez S
VS
Dep. Riestra
|
Under 2.5
Under 2.5
87%
|
87%
|
|
Argentina
Today
•
00:30
|
Belgrano
VS
Atl. Tucuman
|
1
1
85%
|
85%
|
|
Argentina
Today
•
22:30
|
Newells
VS
Estudiant
|
X2
X2
85%
|
85%
|
|
Liga 1
Today
•
13:30
|
Persebaya
VS
PSM Makassar
|
1X
1X
85%
|
85%
|
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Data Collection and Integration
Our software, built primarily in Java, collects verified football data from official and licensed sports data providers through secure APIs. This information covers every aspect of the game — from match statistics, xG (expected goals), and ball possession to player transfers, team form, and news updates.
All this data is stored in our scalable big data platform, purpose-built for advanced AI football analysis. Our platform is engineered to handle massive volumes of data, ensuring that from the final whistle of a match to the latest transfer rumour, every piece of relevant information is captured and integrated.
Data Normalization and Validation
Once collected, the data must be normalized to ensure quality and consistency. Machine learning models, including our proprietary ones, require standardized and validated inputs. Every dataset is therefore cleaned, structured, and cross-checked before entering the prediction pipeline — ensuring that our forecasts are based on reliable information, not noise.
By dedicating significant resources to this thorough process, we eliminate inconsistencies and biases that could otherwise compromise the integrity of our predictions, ensuring that NT Apex operates on a foundation of pure, reliable data.
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At this stage, our proprietary model, NT Apex, takes over. Developed by the NerdyTips AI engineering team, NT Apex combines deep neural networks with pattern recognition to interpret complex football dynamics. It processes dozens of contextual variables — such as match history, weather conditions, injuries, transfers, and xG trends — to produce objective, data-driven predictions with outstanding accuracy.
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