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

Uri Peleg is a Squid Classic specialist. This article is drafted from his voice notes. The math layer (the squid value table, the formula derivation) is solver-cross-checked QuintAI commentary; the framing devices ("reverse sit-and-go", "invisible dead money", "raise to size of squid") are Uri's verbatim.

§0 — A reverse sit-and-go

If you know Stand-up Game (Squid Classic), skim this. If you don't, the framing here is the whole onramp.

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. Nine players sit down, the loser pays everyone. Or, in the variant most of this article uses, six players sit down, and the one who finishes without a "squid" pays the other five.

Mechanically: every time you win a main pot, you collect a squid — a win token. Each player 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 everyone.

The penalty has one knob, called val. The loser pays 5 × val big blinds total, split evenly across the five holders. The model was trained at five settings: val ∈ {1, 2, 3, 5, 10}. This article uses val = 3 — the most common training default. At val = 3, the loser pays 15 BB and each holder receives 3 BB.

Two operational labels run through the rest of the piece: - 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 every Squid player has 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.

Uri's answer: somewhere between 3 and 18 BB, depending on where in the game you are. Here's how he derives 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 is literally cashed in for 3 BB. That's its hard floor.

A squid you collect early in the game is worth at least this much, because — barring some 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. We 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 that gets 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 rises monotonically. 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. Plug it in for val = 3:

The first squid is worth 3.6 BB. Cross-checks against book-2 v1.8.0 Part 1 and Daniel Dvoress's Mental Models for Squid Value §2 Note, which derives the same formula.

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."

⚑ Editor's Q (for Uri): Show the full table per stage above, or just the two anchors (3.6 fresh, 18 at d2t)? Also — should we render this as an interactive widget (val × stage selector), or is the static table enough? Defaults: full table + interactive widget in v2.

§2 — The squid is an invisible ante

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. Suppose 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 equity transfer happens entirely through squid math.

That's what Uri means by "invisible dead money." The squid value isn't paid in chips, but its EV consequence enters every pot exactly the way an ante would.

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."

Once you make that swap, the rest of the strategy story is ante-poker theory. 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 dramatically bigger toward the end.

The two consequences Uri flags for the rest of this article:

1. Preflop, you want to go bigger open sizes. Specific numbers land in the continuation Uri publishes next.
2. The implicit ante reshapes your effective stack depth. This is §3's central move.

⚑ Editor's Q (for Uri): Specific open-size shifts (Cash baseline → Squid val=3 → val=10) land in tomorrow's continuation. Hold §2 ending here, or fold a placeholder table in now? Default: hold open until clip lands.

Companion piece. Daniel Dvoress's Mental Models for Squid Value walks the defense-side version of this reframe in detail — how the implicit ante changes pot odds, why J8s on the BTN goes from 96.6% fold in Cash to 100% defend at val = 3. This article takes the other side: how the same reframe changes your opening sizing and effective stack depth.

§3 — Three shortcuts for a Stand-up table

The implicit-ante reframe gives three concrete table-side shortcuts. None of them 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 in front of you 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 frequency claim — "lots of limps in squid" — is qualitative in this preview. Quantitative limp percentages by position cross-checked against book-2 v1.8.0 Part 2 land in the next pass.

§3b — Raise sizing: treat the squid as a big blind

When you do raise, you have to raise bigger than NLHE would tell you to. The cleanest way to size your opens in Stand-up Game is to treat the implicit ante as if it were part of the big blind — and then size your raise relative to that bigger blind.

Two ways to do this:

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

eff_BB = (squid_value + blinds + real_ante) / 2

Worked example, taken 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-decision 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.

The intuition Uri's pointing at: in NLHE, a min-raise to 2 BB is the smallest legal raise sitting on top of 1.5 BB of blinds — barely larger than the dead money in front of it. In Stand-up Game with a 10-BB squid, a 10-BB raise plays the same structural role: it's barely larger than the (much bigger) dead money in front of it. Different absolute sizes, same "smallest legal increment over the dead money" feel.

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."

The postflop consequence is the part that changes the most hands. If villain's open size matches the squid value, react to it as if villain min-raised in NLHE. A 10-BB open in Stand-up at squid = 10 isn't a 5x — it's a 2x in effective-BB terms. Postflop ranges, c-bet sizing, and your default lines should look like a min-raise pot, not a 5x pot.

§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 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 real chips, that's a 6.7x open, which sounds suicidal to call wide. Re-translate it through the effective-stack lens: that's a 2x open in 20-BB-deep play. At that effective depth, open-shoving 22 over a 2x stops being reckless and starts looking reasonable. Stand-up Game's stack-depth distortion lets you make moves that look insane in raw BB and read as routine in effective BB.

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 swells (deeper into the game, higher val), your effective depth shrinks materially even though your real chip stack hasn't moved.

⚑ Editor's Q (for Uri): §3c's "open-shove 22 vs 10 BB open at eff-20" is a qualitative claim from your audio. Want me to verify against a Squid val=large solver pull, or leave it as the napkin-deduction it is? Default: leave as napkin until v2; cross-link push-fold theory if rigor is needed.

What's next

Three things this article doesn't yet cover: 1. Specific open-size shifts by position. Cash UTG opens 2.0 BB; Stand-up val = 3 opens [TBD with tomorrow's clip]. Same for MP, CO, BTN, SB. 2. Limp frequencies by position at val = 3 vs val = 10, cross-checked against book-2 v1.8.0 Part 2. 3. Postflop translation — once you've translated a Stand-up open into its effective-BB raise size, how does the postflop strategy actually shift? C-bet sizing, range advantage maps, river decisions.

Uri's continuation lands tomorrow.

Companion piece. The Ante You Can't See — Daniel Dvoress's defense-side walkthrough of the same reframe. How the implicit ante changes pot odds and which hands flip from fold to call.

Methodology and caveats

Source material. Drafted from four WhatsApp voice notes Uri recorded on 2026-04-30 (~6.3 minutes total). Transcripts at articles/uri-squid-invisible-ante/transcripts.md. Yuri's framing devices preserved verbatim; QuintAI authored the math layer (squid value table derivation, ante-theory cross-references) and the structural prose connecting his clips.

Data freshness. No new solver pulls in this preview pass. The §1 squid value table is formula-derived (6 × val / (N − 1)) and cross-checks against book-2 v1.8.0 Part 1 + the same formula in Dan's dan-squid-mental-models §2 Note. §2's qualitative claim ("preflop you want to go bigger open sizes") and §3a's claim ("a lot of limps in squid") are placeholders for quantitative data landing in v2.

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. Other variants need their own treatment.

Stack depth. All examples assume 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 in this pass.

val coverage. val = 3 is the running default; val = 10 is mentioned as the "ante dwarfs blinds" extreme. val ∈ {1, 2, 5} are valid training settings but not specifically discussed. The intuition transfers cleanly: smaller val → smaller implicit ante → less distortion → closer to NLHE.

Open editor's questions. Three open Q's are flagged inline (⚑ Editor's Q) for Uri's review. Resolution lands in v1 (post-Uri-validation) or v2 (with tomorrow's continuation), depending on which clip carries the answer.