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This master collection of AI prompts represents the gold standard in the professional sports betting ecosystem. Designed to transform conventional analysis into a systematic competitive advantage, it integrates advanced mathematical modeling, applied psychology and institutional risk management. Each instruction has been optimized to extract technical information from the language models, allowing the identification of market inefficiencies that go unnoticed by the average bettor. By implementing this library, you gain access to a structured methodology that ranges from historical data mining to tactical execution in live markets. Whether you're looking to perfect your Asian handicap system or implement Kelly Criterion-based bankroll management, these prompts provide the structure needed to professionalize your approach. Turn the uncertainty of chance into a probability-based discipline and maximize your return on investment with absolute precision.
He acts as a Senior Data Analyst specialized in probabilistic modeling and Big Data applied to high-performance sports betting. Your mission is to break down the intrinsic relationship between ball control and effective finishing for the upcoming matchup between [Home Team] and [Away Team] in the context of [League/Competition Name]. Don't limit yourself to overall averages; carries out an in-depth study on 'Useful Possession', analyzing how many passes in the final third are required to generate a clear scoring chance (Big Chance Created) according to [Coach Name]'s tactical style. For this pre-match statistical analysis, integrate the data from the last [Number of Matches] matches of both clubs. Evaluate the 'Field Tilt' metric (pass-based territorial dominance) and compare it to the shot conversion rate. I need you to identify if [Team A] suffers from 'sterile possession' against low blocks or if, on the contrary, their passing volume directly correlates with an increase in xG (Expected Goals). Cross-reference this information with the interception capacity and PPDA (Passes Per Defensive Action) of [Team B] to predict whether the flow of possession will be interrupted in critical areas. Generates a simulation of results based on three levels of projected possession for the favorite team: 1) Dominant possession (>60%), 2) Split possession (45%-55%) and 3) Reactive possession (<45%). For each scenario, calculate the probability that the [Over/Under Goal Line] goals line will be exceeded and determine the impact of external variables such as [Pitch Condition] and the absence of [Key Player Absent] on the fluidity of the passing circuit. Use regression models to explain how possession influences the final score when the opposing team scores first. It concludes with a technical opinion of value (Expected Value). Determines whether the odds offered by bookmakers for the [Specific Betting Market] market are aligned with the historical possession/goal efficiency of these teams. It provides a statistical confidence percentage and breaks down the potential risks if the match turns into a phase of quick transitions instead of organized positional attack. Your answer should be technical, evidence-based, and aimed at finding inefficiencies in current betting lines. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering.
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He acts as an expert sports Big Data analyst and professional betting consultant specialized in the study of historical 'Head-to-Head' (H2H) trends. Your mission is to thoroughly break down the matchup between [Team/Player A] and [Team/Player B] for the event scheduled in [Competition/Tournament] on [Date]. This analysis must go beyond simple results; I require a tactical and statistical dissection of how these two rivals interact with each other when facing each other directly. Start by analyzing the historical sample of the last [Number of matches, ex: 10] matches. For each match, extract critical metrics: total goals/points, expected goals (xG), percentage of effective possession in the opponent's half and conversion efficiency. Identify psychological patterns: Is there a team that tends to come back? Does the scoreboard usually open in the first [Minutes, ex: 15] minutes? Evaluate whether home field advantage at [Stadium Name] has been a determining factor or whether performance remains neutral regardless of home field. Cross-reference historical information with current contextual variables for the next meeting. Analyze the impact of absences due to injury or suspension of key players who have historically performed outstandingly in this specific derby or matchup. Consider the manager factor: How have tactical approaches changed since the arrival of [Name Coach A] and [Name Coach B] compared to matchups in previous seasons? Assess whether historical trends remain predictive or whether there is a cycle break based on the current game model. It ends with a market projection based on the expected value. Determines whether the odds offered by bookmakers for [Specific market: e.g. More than 2.5 goals / Both score] are aligned with the historical frequency and the present context. It provides a percentage probability of success for each scenario and points out possible statistical outliers that the user should consider before making any move in the sports betting market. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering.
Act as a Senior Data Analyst specialized in high-precision sports betting markets, focusing exclusively on the "HT" (Half Time) segment. Your main objective is to perform a surgical dissection of the performance of [Home Team] and [Away Team] during the first 45 minutes of play for the next matchup in the [Name of League/Tournament] competition. I need you to ignore the overall final result of previous matches and focus obsessively on the dynamics that occur from the opening whistle to the half-time whistle, evaluating whether there are consistent patterns of tactical and statistical behavior that can be exploited in today's betting market. Extensively analyze the 'Goals Scored' and 'Goals Conceded' metrics in the first half during each club's last [Number of Matches] matches. To do this, it specifically breaks down the home performance of [Home Team] and the away performance of [Away Team]. Calculates the weighted percentage probability that the [HT Goal Line, e.g. 0.5 or 1.5] first half goals (Over HT), based on recent historical frequency and the "Expected Goals" (xG) generated and conceded specifically in this time period. Identify if any of the teams have a tendency of "explosive start" (scoring in the first 15 minutes) or "initial resistance" (keeping a clean sheet until half-time). It incorporates into the analysis critical tactical variables such as the intensity of the high press (PPDA) in the first third of the match and the percentage of effective possession in the opponent's half during the first half. Evaluate how the probable lineup configured by coach [Name of Home Coach] influences that of [Name of Visiting Coach], considering the confirmed absences of [Absent Key Players] and how this alters the ability to generate early game volume. Does the home team usually come out to suffocate the rival in the early stages or does it prefer a conservative middle block? How does the visiting team respond to an initial siege in stadiums with high environmental pressure? Finally, cross-reference these statistical findings with the current market odds for the event [Insert Decimal Odds if known] to determine if a Value Bet exists. Generate a detailed conclusion including a specific betting recommendation for the first half market, justifying the staking level from 1 to 10 and suggesting alternative markets such as 'First Half Total Corners' or 'HT Asian Handicap' if the probability of goals is not clear. Presents the results in a structured report with a comparative table of HT metrics and an executive summary of the most powerful trends detected. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering.
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Based on 8 reviews
Good value for money. The organization helps you get oriented fast. I recommend it.
Worth every penny. The prompts are really well thought out and the effort shows. One hundred percent recommended.
Worth every penny. The quality of the answers I get improved a lot. One hundred percent recommended.
Best purchase I made this month. The index is organized and I find what I need instantly. One hundred percent recommended.
Worth every penny. The quality of the answers I get improved a lot. Already recommended them to my team.
Decent for the price. Some prompts are great and others more generic. Acceptable.
Best purchase I made this month. The quality of the answers I get improved a lot. One hundred percent recommended.
I didn't expect them to be this complete. The index is organized and I find what I need instantly. An investment that pays for itself.