Card Game Calculator
Calculate draw probabilities, mana curves, and mulligan decisions.
Card Game Stats
Draw At Least One
Probabilities
How Draw Probability Works in TCGs
The heart of any trading card game calculator is the hypergeometric distribution — the mathematical model that answers the question "what are my chances of drawing at least one copy of this card?" Unlike a simple fraction, hypergeometric probability accounts for the fact that each card drawn changes the composition of the remaining deck. This is known as sampling without replacement, and it applies directly to card games where drawn cards leave the deck.
When you enter your deck size, the number of copies of a key card, and how many cards you plan to draw, the calculator computes three useful probabilities: drawing at least one copy (the most commonly needed figure), drawing exactly one copy, and drawing two or more copies. It also gives you the expected number of copies drawn, which is the long-run average across many games. Understanding these numbers helps you design decks with predictable, reliable access to your most important cards.
Different TCG formats have different deck sizes, which dramatically affects your draw odds. A 40-card Yu-Gi-Oh deck with 3 copies of a card gives much better odds than a 60-card Magic deck with 2 copies. A 20-card Pokemon deck running 4 copies of a card gives near-certain access in the opening hand. Plugging your actual format's numbers into this card game probability calculator reveals exactly what percentage of games you'll start with your key pieces in hand.
| Deck Size | Copies | Cards Drawn | P(at least 1) |
|---|---|---|---|
| 40 | 3 | 5 | 33.8% |
| 60 | 4 | 7 | 39.9% |
| 60 | 4 | 7 | ~40% |
| 20 | 4 | 7 | ~89% |
Hypergeometric Draw Probability
Where:
- N= Total deck size
- K= Number of copies of the target card in the deck
- n= Number of cards drawn
- C(a,b)= Combination — a! / (b! × (a−b)!)
- P(≥1)= Probability of drawing at least one copy
Mana Curve and On-Curve Probability
Mana consistency is one of the most studied topics in competitive deck building. The mana curve calculator uses hypergeometric math to answer the most pressing in-game question: "will I have enough mana on the turn I need it?" It does this by computing how many land cards (or energy, or mana sources) you expect to see by a given turn, and the probability that you'll have at least as many lands as the mana cost you're targeting.
The number of total cards seen by turn T is your opening hand size plus the number of draws you've taken: cardsSeen = handSize + T − 1. Your expected land count among those cards is simply the land ratio times cards seen. From there, the calculator sums probabilities across all outcomes where land count meets or exceeds your spell's cost — another hypergeometric sum that the tool computes instantly.
The recommended land count formula adjusts for the natural draw variance by applying a 10% buffer: recommendedLands = round((cost / cardsSeen) × deckSize × 1.1), capped at 50% of the deck. This safety margin accounts for the fact that a purely expected-value calculation will leave you mana screwed in a meaningful portion of games. Building with a slight over-count of lands improves on-curve reliability without dramatically diluting your spell density.
| Land Count (60-card deck) | Land Ratio | Expected Lands by Turn 3 | Typical Use Case |
|---|---|---|---|
| 18 | 30% | 2.7 | Ultra-low curve (1-drop aggro) |
| 20 | 33% | 3.0 | Aggro, low mana curve |
| 24 | 40% | 3.6 | Midrange standard |
| 26 | 43% | 3.9 | Control, ramp strategies |
Mulligan Decisions and Opening Hand Analysis
Taking a mulligan is one of the highest-leverage decisions in any TCG. The mulligan calculator models the probability distribution of land counts across all possible 7-card (or custom-size) hands. For any given deck configuration, it shows you exactly how often you'll open with 0, 1, 2, 3, 4, 5, or more lands — and flags which hand sizes fall within the "keepable" range of 2 to 4 lands.
The keepable hand probability is the sum of P(2 lands) + P(3 lands) + P(4 lands) in your opening hand. This range represents the statistical sweet spot: fewer than 2 lands usually means you can't play spells in the early turns (land-light hands), while more than 4 lands in a 7-card hand often means you have too few spells to interact effectively with your opponent. The exact "good range" may vary by deck archetype — control decks may keep 5-land hands, while aggressive decks might prefer 2-land hands — but 2–4 is the broadly accepted standard.
Each hand you draw is an independent event. If your keepable-hand probability is 65%, you have a 35% chance of mulliganing, a 35% × 35% = 12.25% chance of having to go to 6 cards, and so on. Chaining these numbers shows why a deck with only a 50% keepable-hand rate is significantly disadvantaged: you're going to 5 cards more than 6% of the time, losing a substantial card-advantage tax.
| Keepable Hand % | P(mulligan once) | P(go to 5 cards) | Deck Assessment |
|---|---|---|---|
| 75% | 25% | 6.25% | Excellent consistency |
| 65% | 35% | 12.25% | Good, standard range |
| 55% | 45% | 20.25% | Needs land adjustment |
| 45% | 55% | 30.25% | High variance, problematic |
Using Probability Math to Build Better Decks
The most powerful use of a card game draw probability calculator is iterative deck building. Instead of guessing whether three copies of a key card is enough, you can calculate exactly what access rate that gives you and compare it against four copies or two. For a 40-card deck with a 5-card opening hand, running 3 copies gives you about 31.6% access on draw, while 4 copies brings that to 40.4% — a meaningful 9-point jump for one deck slot.
This calculator also helps you reason about "combo pieces" — cards that need two specific cards together in hand. If card A has a 33% appearance rate and card B has a 40% appearance rate, having both by turn one is roughly their product if independent: about 13%. Of course, some hands draw into combos over turns, so the actual game probability is higher, but the opening-hand figure helps you assess how often you'll "brick" before drawing into your gameplan.
Card game math also informs sideboard construction and the number of hate cards to run against specific strategies. If your opponent plays a key combo piece and you need to draw a countermeasure in your 7-card hand from your 15-card sideboard, hypergeometric math tells you exactly how often you'll draw it. Running 3 copies gives you roughly 79% access across your full game-1 and game-2 draws combined, while 2 copies drops you to about 61% — numbers that often justify the extra slot.
Deck Size Across Popular TCG Formats
One of the most underappreciated aspects of TCG probability is how dramatically deck size affects everything. The same 4-of-4 copies of a card behaves completely differently depending on whether you're playing a 20-card, 40-card, or 60-card format. Smaller decks converge to their expected ratios much faster, creating more consistent game states at the cost of less variety. Larger decks amplify variance, meaning your odds shift more between draws and matchups feel less deterministic.
Magic: The Gathering uses a minimum 60-card main deck and 15-card sideboard, with a maximum of 4 copies of any non-basic card. Pokemon uses a strict 60-card deck with 4-of limits. Yu-Gi-Oh allows 40–60 cards with a 3-copy limit, and competitive play almost universally gravitates toward 40 cards for consistency reasons. Smaller Yu-Gi-Oh decks draw key cards more reliably, which the calculator makes obvious: a 3-of in a 40-card deck with a 5-card opening hand yields about 34% access, versus only 23% in a 60-card deck with the same hand size.
| Format | Deck Size | Max Copies | Opening Hand |
|---|---|---|---|
| Magic: The Gathering | 60 (min) | 4 | 7 cards |
| Pokemon TCG | 60 (exact) | 4 | 7 cards |
| Yu-Gi-Oh! | 40–60 | 3 | 5 cards |
| Legends of Runeterra | 40 (exact) | 3 | 4 cards |
| Flesh and Blood | 60 (min) | 3 | 4 cards |
Expected Copies and Long-Run Deck Consistency
Expected value (EV) is the foundation of long-run deck analysis. The expected number of copies of a card you draw is calculated as (copies in deck / deck size) × cards drawn. This deceptively simple formula tells you that, on average across thousands of games, your deck behaves like a proportional sample. If you run 4 copies of a card in a 60-card deck and draw 7 cards, your expected draw count is 4/60 × 7 ≈ 0.47 — meaning you'll see that card in your opening hand less than half the time on average.
Expected value is a mean, not a guarantee, but it's an excellent guide for ratios. If your gameplan requires seeing a card on average once per game, set the expected copies equal to 1 and solve for the number of copies you need to include. This is exactly how experienced deck builders calibrate their card counts: not by gut feel, but by calculating the access rate they need and reverse-engineering their copy counts from there.
One critical nuance is the difference between average and "at least once" probability. You can have an expected value of 0.8 copies drawn, but still draw zero in over 45% of games — because expected value includes cases where you draw 2 or 3 copies in other games. This is why the calculator shows both expected copies and the probability of drawing at least one: the two metrics answer different questions, and both are necessary for proper deck analysis.
Worked Examples
Yu-Gi-Oh Draw Probability: 40-Card Deck, 3 Copies
Problem:
You're building a 40-card Yu-Gi-Oh deck and want to know how often you'll open with your key 3-of card in your initial 5-card hand.
Solution Steps:
- 1Set inputs: Deck Size = 40, Copies in Deck = 3, Cards Drawn = 5
- 2P(none) = C(37, 5) / C(40, 5) — C(37,5) = 435,897 and C(40,5) = 658,008
- 3P(none) = 435,897 / 658,008 ≈ 0.6624, so P(at least 1) = 1 − 0.6624 = 0.3376
- 4P(exactly 1) = C(3,1) × C(37,4) / C(40,5) = 3 × 66,045 / 658,008 ≈ 0.3011
- 5P(two or more) = P(≥1) − P(exactly 1) = 33.8% − 30.1% = 3.7%
- 6Expected copies drawn = (3 / 40) × 5 = 0.375
Result:
You have a 33.8% chance of opening with the card, with almost all of those hands containing exactly one copy (30.1%). The 3.7% two-copy rate means flooding on this card is rare. Expected average is 0.38 copies per opening hand.
Mana Curve Check: 60-Card Deck, Turn 3 Play
Problem:
A 60-card Magic deck runs 24 lands. You want to know if you'll reliably cast a 3-mana spell on turn 3 with a 7-card opening hand.
Solution Steps:
- 1Set inputs: Mode = Mana, Deck Size = 60, Lands = 24, Mana Cost = 3, Turn = 3, Hand = 7
- 2Cards seen by turn 3: cardsSeen = 7 + 3 − 1 = 9
- 3Expected lands among 9 cards: (24 / 60) × 9 = 0.4 × 9 = 3.6 lands
- 4Land ratio: (24 / 60) × 100 = 40%
- 5Recommended lands: round((3 / 9) × 60 × 1.1) = round(22) = 22, capped at 30
- 6The calculator sums P(i lands) for i = 3 to 9 using hypergeometric formula to find on-curve probability
Result:
With 24 lands you expect 3.6 lands by turn 3, giving a high on-curve probability (typically 71–74% for this configuration). The recommended land count of 22 reflects a lower-curve adjustment if your deck skews cheaper.
Mulligan Analysis: Should You Keep This Hand?
Problem:
You have a 60-card deck with 24 lands and want to know the probability of drawing a keepable opening hand (2–4 lands in 7 cards).
Solution Steps:
- 1Set inputs: Mode = Mulligan, Deck Size = 60, Lands = 24, Hand Size = 7
- 2Land ratio = 24/60 = 40%, so expected lands in hand = 40% × 7 = 2.8
- 3The calculator computes P(0 lands), P(1 land), P(2 lands) … P(7 lands) using C(24,i)×C(36,7−i)/C(60,7)
- 4Good hands (2–4 lands) aggregate to approximately 67–69% for a 24-land 60-card deck
- 5Bad hands (0–1 or 5+ lands) account for roughly 31–33% — meaning you'll mulligan about 1 in 3 games
- 6After one mulligan to 6 cards, your keepable-hand rate on the reduced hand improves slightly in a typical game context
Result:
A 24-land 60-card deck produces a keepable 7-card hand about 68% of the time. You'll mulligan roughly once every 3 games, and go to 5 cards about once every 9 games — well within the acceptable range for competitive play.
Comparing 3-of vs 4-of in a 40-Card Deck
Problem:
A Yu-Gi-Oh player wants to decide whether to run 3 or 4 copies of a key card in a 40-card deck, drawing 5 cards to start.
Solution Steps:
- 13-of: P(none) = C(37,5)/C(40,5) ≈ 66.2%, so P(at least 1) ≈ 33.8%
- 24-of: P(none) = C(36,5)/C(40,5) = 376,992/658,008 ≈ 57.3%, so P(at least 1) ≈ 42.7%
- 3Difference: 42.7% − 33.8% = 8.9 percentage points more consistency with the 4th copy
- 4Expected copies — 3-of: (3/40)×5 = 0.375; 4-of: (4/40)×5 = 0.500
- 5Trade-off: the 4th copy costs one flex slot and increases the chance of drawing two copies (diluting your hand)
- 6P(two or more) rises from 3.7% to 6.4% when adding the 4th copy
Result:
Adding a 4th copy increases access by nearly 9 percentage points and lifts expected draws from 0.375 to 0.50. If the card is your best opener with no downsides to drawing multiples, the 4th copy is almost always correct.
Tips & Best Practices
- ✓Run at least 3 copies of any card you absolutely need in your opening hand — the consistency jump from 2 to 3 copies is larger than most players expect.
- ✓In 60-card decks, the 24-land baseline evolved specifically because hypergeometric math shows it reliably supports 3-mana plays by turn 3 in about 70% of games.
- ✓Use the Mana mode's Recommended Lands output as a starting point, then adjust up or down by 1–2 based on how many cantrips (card-draw spells) your deck runs.
- ✓A keepable-hand probability below 60% in Mulligan mode is a strong signal to either add or remove 2–3 lands — small adjustments move the needle significantly.
- ✓Compare P(exactly one) versus P(two or more) to understand 'flooding' risk — high P(two or more) means you'll sometimes draw dead copies of the same card.
- ✓For combo decks that need multiple specific cards, multiply the individual access rates together to estimate the rough probability of seeing both pieces in hand.
- ✓Expected copies scales linearly with cards drawn, so every additional draw (cantrips, card advantage engines) meaningfully increases access to your key cards.
- ✓When testing new deck builds, run the calculator before buying cards — a quick probability check can save you from purchasing cards in quantities that won't deliver meaningful consistency gains.
Frequently Asked Questions
Sources & References
Last updated: 2026-06-05
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Editorial Note
MyCalcBuddy Editorial Team
This page is maintained as an educational calculator reference.
Formula Source: Standard Mathematical References
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