This is an example of how the vast majority of people ask ChatGPT: "Who will win, Manchester City or Arsenal?" And in response, they receive something like: "Both teams are strong, everything will depend on form." This method is no better than reading tea leaves.

A professional approach to this is completely different. ChatGPT won't guess. You provide it with information, outline the structure, define the role, and have a sports expert analyze it. This article provides exactly that in the form of 10 tips.

Why Prompt Is More Important Than AI Itself

Because ChatGPT is a really smart analyst you hire for consulting, and if you ask it, "Hey, there's a match tomorrow, who's going to win?",  it won't know. When you provide it with information, a specific question, and an answer format, it will respond with additional information.

A prompt is simply a technical specification. The more detailed the technical specifications, the better the result. This applies to marketing and programming, as well as betting analysis.

Another point: ChatGPT is very good at methodology, mathematics, and data structuring. You obtain the latest statistics — injuries, current lineups, weather—from official sources yourself, and then add them to the prompt. It's this combination that produces the result.

Prompt #1: Comprehensive Match Prediction

Match prediction is one of the basic prompts that everyone desires to know. It is fairly obvious: you mention a game to the AI, and it responds to who will win. It is fast, convenient, and saves time in having to go through stats. 

The issue is that nine out of ten people are doing it wrong. They ask Who is going to win: Liverpool or Chelsea? and are seriously shocked when the program gives them back two paragraphs of non-information. ChatGPT is not an extra-sensory individual since it is an analyst. Any analyst can work with the information you provide. No information results in no analysis. 

It is for this reason that this prompt is not conventional. You can also ask more questions than Who will win? You enter a specific technical specification, and it gives you the likelihood of each result, an evaluation of key elements, specific markets with potential value, and a frank estimate of confidence in the prediction. Instead, is it no longer guesswork? It is a systematic analysis of previous matches and media reports (e.g., one of the team's main players got ill and how this could influence the game). 

Act as a professional sports betting analyst with 10+ years of experience.

Analyze this match and give me your best prediction:

MATCH INFO

Sport: [football/basketball/tennis/etc.]

Match: [Team A] vs [Team B]

Competition: [league/tournament]

Date: [date] | Venue: [home/away/neutral]

FORM & HISTORY

Team A — last 5 matches: [W/L/D + scored/conceded + home or away]

Team B — last 5 matches: [W/L/D + scored/conceded + home or away]

H2H last 10 meetings: [results + goals + patterns]

Season stats: [table position, home/away record for both teams]

SQUAD & INJURIES

Injuries/suspensions — Team A: [players + return date if known]

Injuries/suspensions — Team B: [players + return date if known]

Key players in form: [1-2 names per team + why they matter]

Rotation risk: [does either team play again within 3 days?]

MEDIA & SOCIAL SIGNALS

Search and analyze the last 72 hours:

1. Club official social media — any absent players in training 

   photos/videos? Lineup hints?

2. Manager press conference — any quotes about squad fitness, 

   motivation, or lineup?

3. Sports media reports — morale issues, insider news, 

   unexpected developments?

4. Odds movement — have lines shifted since opening? 

   Which direction and by how much?

CONTEXT

Motivation: [title race/relegation/derby dead rubber]

Fatigue/travel: [any long trips or fixture congestion?]

Weather: [if relevant for outdoor sports]

Referee: [name + known tendencies, if any]

ANALYSIS

1. Your probability estimate: Team A Win [X]% / Draw [X]% / Team B Win [X]%

2. Bookmaker implied probabilities from odds + calculate their margin

3. Biggest gap between your estimate and the bookmaker's price?

4. Expected Value for each outcome: EV = (Your Probability × Odds) - 1

5. Top 3 factors that will decide this match

6. What did media/social monitoring reveal that changes the picture?

7. What late news (e.g., confirmed lineup) would flip your prediction?

8. Confidence: 🟢 High / 🟡 Medium / 🔴 Low — explain why

FINAL VERDICT

→ Bet: [Market + Selection]

→ Odds: [X.XX] | Edge: [+X%]

→ Stake: [X% of bankroll]

→ Reason: [one sentence]

→ Red flag to watch: [what would cancel this bet]

Prompt #2: Comprehensive Match Prediction

This technique is important, but often underrated. Most people pick a prediction and a winner, and then simply place a bet. That's where their analysis ends. A seasoned expert asks: Is the market pricing this outcome correctly?

You might correctly predict the outcome of a game, but lose. Odds of 1.40 represent a 72% probability, and you will lose money if you repeat this over and over again. If you have no idea where the winning bet lies, you're playing on someone else's field, and the margin is always built into the odds.

From a practical standpoint, value betting is the only sustainable approach to betting that will lead to winning. The concept is simple: two heads are better than one when your probability or estimate is higher than the bookmaker's. Many such bets can make you money, and that's the law of averages.

Professionals do just that: they don't guess; they observe the discrepancy between reality and the market offer.

This indicator does all the necessary calculations: it converts the odds into odds, calculates the bookmaker's margin, compares it with your estimate, and provides a specific expected value:

Behave like a value betting expert. I'd like to know whether the following market is worth betting on:

Match: [Team A] vs [Team B] | Date: [X]

Line: Over [X.5] at [X.XX] / Under [X.5] at [X.XX]

Team A (last 10): avg scored [X] / avg conceded [X] / Over 2.5 in [X/10]

Team B (last 10): avg scored [X] / avg conceded [X] / Over 2.5 in [X/10]

H2H avg goals: [X] per game / Over 2.5 in [X/8] meetings

Missing players: [Team A: X | Team B: X]

Context: [motivation/tactics/weather if relevant]

Do the following:

1. Calculate total expected goals using attack vs defense strength

2. Estimate Over/Under probability via Poisson distribution

3. Convert bookmaker odds to implied probability + calculate margin

4. Find the gap — is Over or Under mispriced? Calculate EV

5. Check if BTTS or alternative totals (1.5 / 3.5) offer better value

→ Bet: [Over / Under / BTTS / Pass]

→ Odds: [X.XX] | Edge: [+X%] | Stake: [X% of bankroll]

→ Reason: [one sentence]

→ Watch before betting: [key late news]

Prompt #3: Checking Your Forecast with a Second Opinion

You have already made up your mind, analyzed the game, made your forecast, and your hand is already reaching for the "bet" button, and that is exactly when people lose all their money. Not because their analysis is bad, but because they were looking for confirmation, not refutation, of their initial idea. This is known as confirmation bias, and it is what slowly but surely kills players.

There are many AIs that can be wrong, simply because they receive information that is provided by humans, and humans can be wrong very often.

To illustrate, professional bettors on Polymarket, as well as sharps at traditional sportsbooks, have a bad habit of always, before every serious bet, trying to find arguments against their thesis. Not to change their minds, but to assess how solid their thesis is when put to the test of external arguments. If the arguments against are weak and far-fetched, it means you can bet with confidence and the full amount. 

If the arguments against are really strong, it means you should not bet at all. In any case, you win. This prompt does exactly that. You provide your thesis, and I provide arguments against it. 

The more convincing I am, the more cautious you should be. Use it as a final filter before every serious bet, at your own discretion:

Act as a professional devil's advocate and betting risk analyst.

I'm about to place a bet, and I need you to challenge my reasoning:

My bet: [Team A to win / Over X.5 / Player A / etc.]

Odds: [X.XX]

My reasoning: [explain why you want to make this bet]

My confidence: [X]%

1. Give me the 5 strongest arguments AGAINST this bet

2. What data or scenarios would completely invalidate my reasoning?

3. Is my confidence level of [X]% justified, or am I overconfident?

4. Which cognitive biases might be influencing my decision?

   (recency bias/gambler's fallacy/home team bias / etc.)

5. If you were forced to bet AGAINST my selection — 

  What would be your case?

6. Final verdict: Proceed / Reduce stake / Skip — and why

Be brutally honest. Do not validate my pick just to be nice.

Prompt #4: Comprehensive Match Prediction

Esports tournaments are among the most undervalued of all markets. This is why it's easier to find a real advantage and succeed in these markets, where insiders primarily bet. Bookmakers and traders primarily bet on CS: GO, Dota 2, and League of Legends, where the most capital is concentrated, based primarily on a team's reputation and overall ranking, rather than its current form over the past two weeks. This creates constant discrepancies between a team's current strength and what's happening in the tournament.

This is especially noticeable in second-tier tournaments. A team can be at the top of the rankings but lose or replace its leader, lose a star player, or go through a patch that completely disrupts its playstyle. The market may not take this into account, but you can.

Esports is also unique in its format: Bo1 matches are a lottery, where even the underdog wins 35-40% of the time, while Bo3 and Bo5 matches are a matter of consistency, map selection, and team psychology over long series. They're essentially Bo1 and Bo3 matches, but with fundamentally different odds and probabilities. And, of course, there are patches: a balance patch in CS:GO (remember the gift update and all that) or Dota can literally weaken a strong team if they've been playing a certain style, relying on certain mechanics or heroes.

This question takes into account all of the above: form, format, map/hero pool, patch context, lane movement, and so on, and is applicable to CS:GO, Dota 2, LoL, Valorant, and many other games:

Act as a professional esports betting analyst. Analyze this match:

Game: [CS2 / Dota 2 / LoL / Valorant]

Match: [Team A] vs [Team B]

Tournament: [name + stage] | Format: [Bo1 / Bo3 / Bo5]

Odds: Team A [X.XX] / Team B [X.XX]

Team A (last 30 days): win rate [X]% / recent roster changes: [X]

Team B (last 30 days): win rate [X]% / recent roster changes: [X]

H2H last 6 months: [X-X]

Map/hero pool edge: [who controls the draft/veto and why]

Current patch impact: [does it favor either team's style?]

1. Who has the edge — form, format, map pool, patch?

2. Does Bo1/Bo3 format change the probabilities significantly?

3. Calculate implied probabilities + margin from odds

4. Your probability estimate vs bookmaker — EV = (Prob × Odds) - 1

5. Confidence: 🟢 High / 🟡 Medium / 🔴 Low

→ Bet: [Team / Map handicap / Pass]

→ Odds: [X.XX] | Edge: [+X%] | Stake: [X% of bankroll]

→ Reason: [one sentence]

Prompt #5: Comprehensive Match Prediction

Do you see the similarity between an individual who is always profitable and an individual who is beneficial at a particular moment in time? It is not the accuracy of their predictions, nor the access to information, but the system itself. A decision by a profitable gambler can be made at the time of occurrence of a lot of feelings of confidence or distinctness of the outcome of a game, but they have a strategy, which they stick to every time they gamble on a game, irrespective of anything.

Many bettors lack a decision-making system and rely on luck instead. A bettor might take 40 minutes to analyze one game, whereas for another game, they might take only 40 seconds to decide. One might put 25% of their available capital on one game, whereas for the other game, they might put 75% of their available capital, as they might be the most confident they have ever been. Therefore, even if a person knows how to approach a game correctly, they are still not going to win because they are not disciplined enough, and discipline is not about willpower; it is about having a system that works for you automatically, without being emotional.

Your checklist is your own personal protocol and plan. You set it up once, and then you just follow it before each bet. If any of the conditions aren't met, the bet is lost. Period. This is how the pros operate, and this is how traders in prediction markets, such as Polymarket, operate, not through any sort of inspiration, but through a systematic approach.

Act as a professional betting strategist and performance coach:

MY PROFILE

Sports I bet on: [list]

Preferred markets: [1X2 / totals / handicap / outright / etc.]

Bankroll: [$X]

Bet sizing strategy: [flat / Kelly / % of bankroll]

My known weaknesses: [chasing losses / overconfidence / 

  too many bets / emotional betting after bad days / etc.]

My goal: [steady ROI / specific monthly target / etc.]

BUILD ME THE FOLLOWING:

1. PRE-BET RESEARCH CHECKLIST

   — 8 questions I must answer before placing any bet

   — If I can't answer even one, I don't bet

2. RED FLAGS — AUTO SKIP LIST

   List conditions that should make me automatically 

   skip this bet, no matter how confident I feel

   (e.g. line moved against me / key player news unclear / 

   betting after a loss/odds dropped significantly)

3. BANKROLL CHECK

   — What conditions must be met to place this bet?

   — Maximum stake allowed given current bankroll state

   — When should I drop to minimum stakes?

4. EMOTIONAL CHECK

   5 honest questions to ask myself to confirm I'm 

   betting with logic, not emotion

5. POST-BET PROTOCOL

   — What exactly to record after placing the bet

   — How to review results weekly (which metrics matter)

   — How to handle a losing streak without destroying 

     the bankroll or the strategy

Format everything as a clean, actionable checklist

I can screenshot and use before every single bet.

Final Thoughts

Most people lose not because they don't understand how the markets work. They lose because they act erratically: today they do deep analysis, tomorrow they rely on "gut feeling and luck," and the day after they chase losses in the hopes of recouping their losses (hello, gambling addiction). ChatGPT doesn't make you lucky; it makes you consistent and more structured. And consistency is more important in the long run than any insight.

Remember one last important point: ChatGPT doesn't know who will be on the field in an hour, who might be sick, or who might simply miss their flight. The AI ​​is responsible for the structure, the math, and the cool, outside perspective. You're responsible for the data and the final decision. Together, they work, but separately, they don't.

If you haven't used these strategies yet, definitely give them a try! The result will surprise you, not because ChatGPT will guess the outcome (which is a priori impossible), but because, for the first time, you will see your own logic from the outside.