diff --git a/PokerKit/Tests/PokerKitTests/EquityTests.swift b/PokerKit/Tests/PokerKitTests/EquityTests.swift
index 61d047f..2b3f2f3 100644
--- a/PokerKit/Tests/PokerKitTests/EquityTests.swift
+++ b/PokerKit/Tests/PokerKitTests/EquityTests.swift
@@ -276,3 +276,60 @@ private func assertApproximately(_ actual: Double, _ expectedPercent: Double, to
     #expect(direct.tieRate == viaRange.tieRate)
     #expect(direct.trials == viaRange.trials)
 }
+
+// MARK: - Postflop ground-truth validation
+//
+// Everything above validates preflop equity against published references. This section
+// does the same job postflop, against the single most rigorously-citable postflop
+// statistic in poker math: a 9-out flush draw's exact completion rate.
+
+@Test func postflopGroundTruthFlushDrawCompletionRate() {
+    // Widely cited across poker literature (the "Rule of 4-and-2"'s exact source figure,
+    // not an approximation of it): a 9-out draw with two cards to come completes
+    // `1 - (38/47) × (37/46) ≈ 34.97%` of the time — exact combinatorics, not an estimate,
+    // so this is checkable independently of any external site or Monte Carlo run.
+    //
+    // Hero holds a naked flush draw — no pair, no straight draw live on this specific flop
+    // (A♠K♠ against 2♠7♠9♣ doesn't connect to a gutshot or open-ender) — so "hero's final
+    // hand is a flush or better" measures exactly the 9-spades-remaining completion rate
+    // the citation describes, isolated from any other way to improve.
+    let hero = HoleCards(Card(rank: .ace, suit: .spades), Card(rank: .king, suit: .spades))!
+    let flop = [Card(rank: .two, suit: .spades), Card(rank: .seven, suit: .spades), Card(rank: .nine, suit: .clubs)]
+
+    let used = Set([hero.first, hero.second] + flop)
+    let remaining = Equity.fullDeck.filter { !used.contains($0) }
+    #expect(remaining.count == 47)
+
+    var completions = 0
+    var total = 0
+    for i in 0..<remaining.count {
+        for j in (i + 1)..<remaining.count {
+            let finalHand = HandEvaluator.bestHand(from: [hero.first, hero.second] + flop + [remaining[i], remaining[j]])
+            if finalHand.category >= .flush { completions += 1 }
+            total += 1
+        }
+    }
+
+    #expect(total == 1081) // C(47, 2)
+    let completionRate = Double(completions) / Double(total) * 100
+    #expect(abs(completionRate - 34.97) < 0.5, "expected ~34.97%, got \(completionRate)%")
+}
+
+@Test func postflopGroundTruthFlushDrawVsSetViaEquityEngine() {
+    // A secondary, end-to-end cross-check through the actual Equity API (not just
+    // HandEvaluator directly): "a set vs. a flush draw is roughly a 75/25 spot" is a
+    // commonly-cited approximate figure (found via web search while building this) — looser
+    // than the exact 34.97% draw-math above, so checked to a wider tolerance. The set can
+    // also improve to a boat/quads and the flush isn't automatically the winner even when it
+    // completes, so this isn't expected to land on exactly 65.03% (100 - 34.97) for hero;
+    // it's a corroborating check that the Equity engine's output is in the right
+    // neighborhood as a published rough figure, not the primary precision claim.
+    let hero = HoleCards(Card(rank: .ace, suit: .spades), Card(rank: .king, suit: .spades))!
+    let villain = HoleCards(Card(rank: .nine, suit: .diamonds), Card(rank: .nine, suit: .hearts))!
+    let flop = [Card(rank: .two, suit: .spades), Card(rank: .seven, suit: .spades), Card(rank: .nine, suit: .clubs)]
+
+    let result = Equity.headsUp(hero: hero, villain: villain, board: flop)
+    #expect(result.isExact)
+    assertApproximately(result.loseRate, 75, tolerance: 5)
+    assertApproximately(result.winRate, 25, tolerance: 5)
+}
diff --git a/ai-docs/EQUITY.md b/ai-docs/EQUITY.md
index 2498281..40030b1 100644
--- a/ai-docs/EQUITY.md
+++ b/ai-docs/EQUITY.md
@@ -238,6 +238,34 @@ A note on the task's original framing of two of these:
   code. Fixed by testing against the precise citation instead of the rounded
   description, same as the other two notes here.
 
+### Postflop
+
+Everything above is preflop. Postflop equity is validated against the single
+most rigorously-citable statistic in poker math — not scraped from a
+website, but exact combinatorics independently reproducible by anyone:
+
+**A 9-out draw with two cards to come completes `1 - (38/47) × (37/46) ≈
+34.97%` of the time.** `postflopGroundTruthFlushDrawCompletionRate` sets up a
+naked flush draw (`A♠K♠` on a `2♠7♠9♣` flop — no pair, no straight draw live,
+so "final hand is a flush or better" isolates exactly the 9-remaining-spades
+statistic) and exhaustively enumerates all `C(47,2) = 1,081` turn/river
+combinations directly through `HandEvaluator`, with no `Equity` API in the
+loop at all. Measured: **378/1,081 = 34.968%** — a 0.002-point difference
+from the cited figure, i.e. as close to an exact match as floating-point
+rounding allows.
+
+A second test, `postflopGroundTruthFlushDrawVsSetViaEquityEngine`, closes the
+loop through the actual `Equity.headsUp` API: the same flush draw against a
+set on the same flop (`9♦9♥` — trips using the board's `9♣`) is commonly
+cited (found via web search) as **"roughly a 75/25 spot"** favoring the set.
+Measured via `headsUp`: **75.35% / 24.65%** (zero ties on this specific
+board). This citation is a rounded approximation, not exact math like the
+34.97% figure above — the set can also improve to a boat/quads, and a
+completed flush isn't an automatic win — so it's checked to a wider `±5pt`
+tolerance and treated as a corroborating check that the `Equity` API surfaces
+the underlying (already independently-verified) `HandEvaluator` math
+correctly, not as a second precision claim.
+
 ## Performance
 
 Measured on this machine, Swift 6.3 (Xcode 27 beta toolchain), Apple