Can ChatGPT Give You SuperCoach Advice? We Tested It.

Every week on r/AFLSupercoach, someone posts: "Just asked ChatGPT about my trade situation and it said to keep Petracca." And every week, half the comments point out that ChatGPT is working from last year's data.

We decided to actually test it properly. Here's what happened.

The Test

We ran 12 identical SuperCoach queries across ChatGPT (GPT-4o), Claude (claude-sonnet), and Gemini (1.5 Pro) in Round 3, 2026. Queries covered:

• Current player prices and breakevens
• Round 1 scores for specific players
• "Should I trade X?" questions with a described team situation
• Injury status for three named players
• Captain recommendations for the current round

We then cross-checked every factual claim against the RookieBible data pipeline and official SC records.

What Went Wrong

1. Stale data presented as current fact

This was the most common failure. When we asked "what did [player] score in Round 1 2026?", ChatGPT returned a score — confidently, with no caveats. In four cases, that score was from Round 1 2025.

One player hadn't played Round 1 2026 at all due to injury. ChatGPT gave us a score of 87 and suggested keeping him as a long-term hold. He didn't play.

Claude handled this slightly better — it acknowledged its knowledge cutoff more often. But it still returned incorrect prices on two occasions, and when pushed ("are you sure this is current?"), it doubled down.

2. Fabricated prices

Player prices in SuperCoach move every round based on recent scores. General AI tools don't have access to these updates. When we asked for current prices, all three tools returned figures — but in 5 of 12 cases, the prices were between $20,000 and $85,000 off the actual figure.

That matters. If you're planning a trade chain around a specific cash position, a $50k error on a player's price can completely break the logic.

3. Generic advice that ignores your actual team

This is the structural problem that price errors don't even address. Every piece of advice we got was generic.

"Trade out your underperforming mid and bring in [popular player]" is fine advice if you have the cash, the right bye structure, and the trade capital. It's terrible advice if you're already over-exposed to that player's bye round, or if trading requires breaking a planned cascade.

Not one AI tool asked about our team construction before giving a recommendation. When we provided it — "I have $180k in the bank, three midfielders on the Round 14 bye, and two trades left" — the advice improved slightly. But none of them calculated the actual implications. They reasoned loosely, not numerically.

Where General AI Actually Helps

To be fair: ChatGPT is genuinely useful for SuperCoach concepts.

Ask it to explain the loophole mechanic and it nails it. Ask it what DPP eligibility means and when it gets announced. Ask it to walk through how breakeven maths works. These questions don't require current data and the answers are stable.

The failure mode is specific: anything requiring knowledge of this round's prices, scores, injuries, or form.

The Actual Problem

The fundamental issue isn't that AI tools are bad. It's that SuperCoach decisions are multi-variable, time-sensitive, and team-specific — and general AI tools are none of those things.

A good SuperCoach trade recommendation requires:

• Current prices (updated this week, not last season)
• Current breakevens (changes every round)
• Current injury status (changes by Thursday)
• Your specific cash position
• Your bye structure
• Your trade count remaining
• The knock-on effects of the trade on your team construction

General AI can handle the first item inconsistently and ignores the rest entirely.

What Actually Works

The coaches who consistently win are the ones combining:

1. Current data — prices and breakevens from the SC app or a tool with a live data pipeline
2. Team-aware reasoning — advice calculated against their actual squad, not a generic team
3. Multi-round thinking — "if I make this trade now, what does that open up in Round 10?"

The last two are exactly what RookieBible's AI advisor does. You upload your team via screenshot, and the AI reasons about your situation specifically — your cash, your byes, your trade count, your position needs.

That's a different product to ChatGPT. It's not better because it's smarter — it's better because it knows your team.

Bottom Line

Use ChatGPT to understand how SuperCoach works. Don't use it to decide what to do in your specific situation this round.

The AI that knows the rules is not the same as the AI that knows your team.

Upload your team and get a real recommendation →