The Invisible Ante: A Stand-up Game Walkthrough by Uri Peleg

§0 — A reverse sit-and-go

You treat Stand-up Game like No-Limit Hold'em (NLHE) with wider ranges. It's not. There's an invisible ante changing your sizing math, your limp decisions, and your effective stack depth — and it's bigger than the blinds at every game state.

Here's the format, if you don't know it. A sit-and-go is a winner-takes-all tournament: nine players sit down, one walks away with everyone's money. Stand-up Game is the mirror image. Six players sit down, the loser pays everyone.

The mechanic is straightforward. Every time you win a main pot, you collect a "squid" — a win token. You can hold at most one. In a 6-handed game there are exactly five squids to win. The game ends the moment five of the six players each hold one. The unlucky sixth — the player who never won a main pot — pays the others.

The penalty has one knob, called val. The loser pays 5 × val big blinds total, split evenly across the five holders. The model trains at five settings: val ∈ {1, 2, 3, 5, 10}.

This article uses val = 3 as its running default. At val = 3, the loser pays 15 BB and each holder receives 3 BB.

Two operational labels run through the rest: - Safe — you already hold a squid; you can no longer be the loser. - Desperate — you don't yet hold a squid; you're still in the race.

That's the entire format change. Five squids to win. One loser pays everyone. Everything else is just Hold'em.

Uri's framing line: "A squid tournament is sort of like a reverse sit-and-go. In a sit-and-go, the winner takes all the money. In the squid format, the loser loses all the money."

§1 — How much is a squid worth?

Once you know the rules, the next thing to figure out is the value of the squid button. Not the abstract "what does winning a squid mean for me strategically" — the literal number, in big blinds, that a squid is worth at this moment in this game.

The answer is somewhere between 3 and 18 BB, depending on where in the game you are. Here's the bracket.

The minimum: 3 BB

At the moment the game ends, holders receive their split of the 15 BB penalty. Five holders, 15 BB total → 3 BB each. So at game-end, the squid cashes in for 3 BB. That's its hard floor.

A squid you collect early is worth at least this much, because — barring catastrophe — you'll still be holding it when the game ends. The squid you have is a 3-BB asset on the books.

The maximum: 18 BB

Now skip to the other end. Suppose four players already hold squids and two are still desperate — call this down-to-2 (d2t).

Whoever wins the next main pot becomes safe (+3 BB) and the other player becomes the loser (−15 BB). The squid awarded on this hand is worth the full 18-BB swing — the difference between safe and ruined.

So at d2t, the squid is worth 18 BB. That's its ceiling.

The progression: 3.6 → 18

Between fresh game (six desperate players) and d2t (two desperate players), the squid value always goes up. The math is clean: at any game state, the squid swing equals 6 × val / (N − 1), where N is the number of players still desperate.

The widget shows the value at every val × stage combination. The fresh-game val=3 cell — 3.60 BB — is the implicit-ante anchor for the rest of this article. The d2t val=10 cell (60 BB) is what's at stake when two desperate players are both still chasing the last squid in a high-stakes game.

Uri's framing line: "Every squid button is worth at least three, because it's worth three at the end. And we also know that the last one, when it's two left, whoever loses is at minus fifteen, whoever wins is at plus three — so there it's worth eighteen. So it's something between three and eighteen."

§2 — There is an ante in each pot, or there's invisible dead money

So far the squid is just a number — a 3.60-to-18-BB asset that floats around the table. The reframe that makes Stand-up Game playable is to stop thinking of it as a number and start thinking of it as an ante in every pot.

Here's the move. The game is fresh and you're about to play a hand. Whichever desperate player wins this main pot collects a squid worth 3.60 BB. Everyone at the table has the same shot. So you can think of this hand as having an invisible 3.60 BB sitting in the pot, payable to the winner — except the chips never actually move; the value moves through squid rules, no chips change hands.

That's the invisible dead money.

Uri's framing line: "By saying how much the squid is worth, we're basically saying there is an ante in each pot, or there's invisible dead money. And then we can talk about how poker works basically with the various sizes of antes."

One caveat: this ante isn't symmetric. When some players are safe and others desperate, the squid pressure falls only on the desperate players. The analogy is cleanest when everyone's still in the race — which is most of the early game and which is what this article's running examples assume.

The size of the ante in this format isn't small. At fresh val = 3, the implicit ante is 3.60 BB — already larger than the 1.5 BB of blinds. At d2t, it's 18 BB. The dead money in front of you is bigger than the dead money in the blinds throughout the game, and gets bigger toward the end.

The first thing that changes: your opens need to be bigger. How much bigger — and why — is §3b's story.

§3 — Three shortcuts for a Stand-up table

The implicit-ante reframe gives three concrete table-side shortcuts. None are precise — they're napkin tools that get you to within a half-bet of the right answer in the time it takes to act.

§3a — Limping is correct sometimes

Push the ante to an absurd extreme: imagine a 1,000 BB squid sitting in the pot. Limping for 1 BB to play for that pot is obviously fine. At a 1:1000 risk-to-dead-money ratio, almost any two cards make money on the call alone, before any postflop play even happens.

Stand-up Game doesn't push you to that extreme, but it pushes you part of the way. With a 9-BB squid plus 1.5 BB of blinds, the dead money is 7× the limp price. The ratio is what matters: a small absolute investment relative to a large pile of dead money makes the limp call cheap, even on hands that would never complete in cash without antes.

Uri's framing line: "Ranges get wider if the ante is really big. Suddenly limping becomes a good option. ... So there are a lot of limps in squid."

The data backs the claim hard. In cash NLHE, limping from UTG (under-the-gun, the first to act), MP (middle position), CO (cutoff), or BTN (button, last to act preflop) is essentially never correct — the solver completes <1% of the time.

At val=3, BTN already limps 30% of dealt hands. At val=10, almost everyone limps almost everything: BTN limps 94%, even UTG limps 47%.

The progression accelerates through val=5, then flattens as limp% approaches 100%. SB is the exception — at val=10 it converts some limps into all-in shoves, so its limp% actually dips below val=3.

§3b — Raise to the size of the squid

When you do raise, you have to raise bigger than NLHE would tell you to. The mental model: treat the implicit ante as if it were part of the big blind, then size relative to that bigger blind.

Two ways to do this:

Formula version. Take the total dead money in the pot — squid value plus blinds (plus any real ante) — and divide by 2. That's your effective big blind.

effective_BB = (squid_value + blinds + real_ante) / 2

Worked example, straight from Uri's audio. Squid value 9 BB, blinds 1.5 BB combined, no real ante. Total dead money = 10.5 BB. Effective big blind ≈ 5 BB. So at this game state, every "big blind" in your sizing math should be ~5 actual BB.

Shortcut version. When the squid is large relative to the blinds, ignore the blinds and just raise to the size of the squid. That's an effective min-raise.

Uri's framing line: "When the squid is big, just raise to the size of the squid and ignore the blinds. And that raising to the size of the squid would be the equivalent of a min raise."

This is a mental model — a way to feel the effective-BB structure of a Squid table — not a prescription for what the solver actually opens. Cash NLHE opens range from 2.3 BB in early position to 2.9 BB on the small blind. In Stand-up val=3, MP/CO/BTN saturate at 7.2 BB; at val=10 the ceiling holds for late position while UTG and SB land at 6.0–6.1 BB. The 7.2 BB is likely hitting a training cap (the biggest raise size the solver was trained to pick), so the equilibrium open at val=10 is plausibly larger than what the solver expresses.

The most useful part of the model is the villain's-open re-translation. When somebody opens for what looks like a 5× or 6× raise in raw chips, run it through the effective-BB lens before you panic-fold. A 10-BB open at squid = 10 is a 2× in effective-BB. Postflop ranges, c-bet sizing (continuation bet — the bet by the previous-street raiser), and your default lines should look like a min-raise pot, not a 5× pot.

The single best widget for feeling this regime is the val-sweep on BTN. Drag from cash through val=10 and watch open size, limp%, and VPIP (the percentage of hands you voluntarily put chips into the pot) all reshape together.

§3c — Effective stack shrinks

The same logic that shrinks the raise-size scale also shrinks the stack-depth scale.

If your effective big blind is ~5 actual BB (squid = 9, blinds = 1.5), then a 100 BB starting stack isn't really 100 BB deep. It's about 20 effective BB deep. Different math than 100 BB; closer to short-stack play.

Uri's framing line: "If the squid is worth ten and a big blind is five, and now you're a hundred deep — it's actually twenty deep. ... You might stack off super wide. Like maybe someone opens to ten BBs and you open-shove deuces, and that would make sense twenty deep."

The example: villain opens 10 BB at squid = 10. In raw chips, that looks like an absurdly large raise — five times a typical cash open. Re-translate it through the effective-stack lens: that's a 2× open in 20-effective-BB-deep play. At that depth, open-shoving 22 over a 2× stops being reckless and starts looking reasonable.

(Uri's shortcut drops the blinds for speed — the exact formula gives a slightly lower number, around 17 effective BB at squid = 10. The widget below uses the precise math; Uri's "20 deep" rounds for napkin use.)

The pattern works in both directions. When the squid is small and the implicit ante is light, your effective depth is close to your real depth. When the squid grows (deeper into the game, higher val), your effective depth shrinks a lot even though your real chip stack hasn't moved.

§3d — How wide does BB actually defend?

What does "play almost everything" actually mean for the big blind? Against a 2.5× CO open, BB defends 37% of hands in cash NLHE. At val=3, BB defends 93.5% — almost three times wider. At val=10, BB defends 100% — and one in four times, the defense is an all-in shove before the flop.

That 25% all-in rate is wider than any defensive jam range in cash NLHE. The "stack off super wide" claim is no exaggeration.

In these wider, bigger pots, expect the flop to play differently — the ranges are flatter and the range advantages you're used to from NLHE shift. That's Uri's next chapter.

§4 — The takeaway

The squid is a number. That number is an invisible ante. Once you price it, your opens get bigger, limps become correct, and your effective stack depth shrinks — even though your chip stack hasn't moved. Same deck, same blinds, same positions. One rule, three shortcuts.

Methodology and caveats

About this article. Drafted from four WhatsApp voice notes Uri Peleg recorded on 2026-04-30 (~6.3 minutes total). Transcripts at articles/uri-squid-invisible-ante/transcripts.md. Uri Peleg is a WSOP bracelet winner, elite cash player, and Squid Classic specialist — the verbatim framing devices ("reverse sit-and-go", "invisible dead money", "raise to size of squid") are his. The math layer (the squid value table, the formula derivation, the data widgets) is solver-cross-checked QuintAI commentary; the structural prose connects the four clips into a single arc.

Data rail. Solver data pulled 2026-04-30 via pull_uri_squid_invisible_ante.py against the strategy_grid_client preview endpoint (v1 rail, preview.rlserv.aceguardianrl.com). 24 queries total across 4 batches: per-position open metrics in cash + val=3 + val=10 (D1 + D2), BB defense vs CO 2.5× open across the same regimes (D3), and a BTN open val-sweep across val ∈ {0, 1, 2, 3, 5, 10} (D4). Findings note at findings.md.

Reach weighting. All percentages quoted (limp%, VPIP, all-in%) are combo-level reach-weighted aggregates from the solver's GTO post-processed strategy. Reach = the probability the equilibrium reaches that decision point with that specific combo, after upstream actions. Hand-class examples in the prose (e.g. "open-shoving 22") refer to the aggregate behavior of that hand class, not a single combo.

Action-set ceiling caveat. The solver's average open raise saturates around 7.2 BB across val ∈ {2, 3, 5, 10}. This is consistent with a discretized action-set training ceiling rather than a true equilibrium. At val=10 the equilibrium open size is likely larger than 7.2 BB, but the model can't represent it. Open-size numbers at val=10 should be treated as lower bounds.

Format scope. Stand-up Game (Squid Classic) only. Squid Hunt Regular, Squid Hunt Progressive, and Squid Double are out of scope — book-2 trains only Stand-up Game, and the squid value math (6 × val / (N − 1)) assumes the binary one-per-player cap that defines the variant.

Stack depth. All pulls use 100 BB starting stacks (book-2 v1.8.0 default). Different stack depths would change the §3c effective-depth math materially; that's covered qualitatively but not quantitatively across pulls.

Rake. All pulls include 3% rake with a 3 BB cap. The cash-baseline BB defense of 37% may be slightly rake-depressed relative to rakeless benchmarks.

Val coverage. val=3 is the running default; val=10 is the "ante dwarfs blinds" extreme. val ∈ {1, 2, 5} appear in the BTN sweep widget but aren't independently quantified across positions in this pass.

Mental-model framing for §3b. Uri's "raise to size of squid" rule is presented as a mental model for thinking about the game — not a prescription for the equilibrium raise size. The solver does not literally raise to the squid value; it raises to ~7.2 BB across val=2–10. At high val that 7.2 BB lands at ~min-raise in effective-BB terms, which is the deeper insight Uri is pointing at.

Coverage gaps deferred. Two topics this article doesn't yet cover quantitatively: (1) postflop translation — once you've translated a Stand-up open into its effective-BB raise size, how the postflop strategy actually shifts (c-bet sizing, range advantage, river decisions), and (2) verification of the specific 22-vs-10-BB-open scenario Uri quotes. Both await Uri's continuation dictation or a follow-up pull.