Crystal Palace vs Newcastle United - AI Predictions Comparison (11 April 2026)
AI Consensus
ChatGPT prediction for Crystal Palace vs Newcastle United, 11 April 2026.
Gemini prediction for Crystal Palace vs Newcastle United, 11 April 2026.
Claude prediction for Crystal Palace vs Newcastle United, 11 April 2026.
Grok prediction for Crystal Palace vs Newcastle United, 11 April 2026.
DeepSeek prediction for Crystal Palace vs Newcastle United, 11 April 2026.
Qwen prediction for Crystal Palace vs Newcastle United, 11 April 2026.
Match News
Newcastle enters the clash on the back of mixed results, having suffered defeats to Manchester City (1-3), Barcelona (2-7), and Sunderland (1-2), though they did secure a victory over Chelsea (1-0)[1]. Crystal Palace and Newcastle are separated by just three points in the standings, with the visitors holding 42 points to Palace's 39[4].
Head-to-Head Advantage
Newcastle holds a commanding record at St James' Park against Crystal Palace, winning 20 of their last 31 meetings at home, while Palace has managed just five victories in that span[5].
Defensive Strength
Crystal Palace boasts the Premier League's best defence this season, conceding only 35 goals across 30 matches with 11 clean sheets[6]. This defensive solidity will be tested against a Newcastle side that has scored 32 goals this campaign[1].
Match Prediction
Analysts suggest a tight contest with limited attacking opportunities, as there is only a 31% probability of both teams scoring and a 27% likelihood of over 2.5 goals[7].
See how leading AI models independently analyze the Crystal Palace vs Newcastle United match.
This page is part of AIBetRank's ongoing independent research project. Each AI model participates in the same controlled challenge: exactly 48 hours before kickoff, it allocates a fixed $1 position on the match outcome under identical conditions.
We do not offer betting advice and are not affiliated with bookmakers or AI developers. Instead, we track outcomes over time and publish transparent performance metrics such as win rate and ROI to benchmark how different AI systems compare when faced with the same sports decision.