Vorici Socket Examples by Item Type
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Full bio →How Item Type Changes Socket Costs
Chromatic orb probability depends entirely on the item’s Strength, Dexterity, and Intelligence requirements — not the item slot itself. But different item types tend to have characteristic requirement patterns, which changes how off-color crafting typically plays out for each. Run any of these examples through the Vorici Calculator to check your own item.
Example 1: Strength-Stacking Body Armour
Item: 6-socket body armour, 100 Strength requirement, 0 Dexterity, 0 Intelligence Target: 4 Red, 2 Blue (Blue is off-color)
P(Red) = 110/130 = 84.6%
P(Blue) = 10/130 = 7.7%
P(4R 2B) = C(6,2) × 0.846^4 × 0.077^2 ≈ 15 × 0.511 × 0.0059 ≈ 4.5%
Expected random rolls ≈ 22 orbsAt this probability, random rolling (~22 orbs) is close to the “at least 2 Blue” bench cost (25 orbs) — check both in the calculator, since the cheaper option can flip either way depending on exact requirements. See chromatic rolling vs Vorici bench for the general break-even pattern.
Example 2: Dexterity/Intelligence Hybrid Weapon (Bow)
Item: 3-socket bow, 50 Dexterity, 80 Intelligence, 0 Strength Target: 2 Blue, 1 Green (natural-leaning colors, no true off-color)
Total = 50 + 80 + 30 = 160
P(Green) = 60/160 = 37.5%
P(Blue) = 90/160 = 56.25%
P(2B 1G) = C(3,1) × 0.5625^2 × 0.375 ≈ 3 × 0.3164 × 0.375 ≈ 35.6%
Expected random rolls ≈ 2.8 orbsHybrid-attribute weapons like this rarely need the bench — both target colors are already well-represented in the natural probability, so random rolling is fast and cheap.
Example 3: Pure Intelligence Caster Helmet Needing a Red Socket
Item: 4-socket helmet, 0 Strength, 0 Dexterity, 120 Intelligence Target: 1 Red (off-color), 3 Blue
Total = 120 + 30 = 150
P(Red) = 10/150 = 6.7%
P(Blue) = 130/150 = 86.7%
P(1R 3B) = C(4,1) × 0.067^1 × 0.867^3 ≈ 4 × 0.067 × 0.652 ≈ 17.5%
Expected random rolls ≈ 5.7 orbsEven though Red is a clear off-color here, needing only one off-color socket out of four keeps the overall probability manageable — random rolling is usually still cheaper than the bench for a single off-color socket unless its probability is below roughly 40% per socket (it is here, at 6.7%, but the small overall configuration still keeps expected cost low).
Example 4: Jewellery (No Attribute Requirements)
Item: 2-socket amulet, 0 Strength, 0 Dexterity, 0 Intelligence Target: 1 Red, 1 Blue
Total = 0 + 0 + 0 + 30 = 30
P(Red) = P(Green) = P(Blue) = 10/30 = 33.3% each
P(1R 1B) = C(2,1) × 0.333 × 0.333 × 2 (arrangements) ≈ 22.2%
Expected random rolls ≈ 4.5 orbsJewellery and other items with no attribute requirements always have equal 33.3% probability per color — there’s no such thing as an “off-color” socket on these items, so random rolling is always efficient regardless of target configuration.
Example 5: Extreme Off-Color 6-Link (Endgame Mirror-Tier Item)
Item: 6-socket body armour, 100 Strength requirement, 0 Dexterity, 0 Intelligence Target: 2 Red, 4 Blue (heavy off-color)
P(Red) = 84.6%, P(Blue) = 7.7%
P(2R 4B) ≈ 0.006% (extremely rare configuration)
Expected random rolls ≈ 16,000+ orbsThis is squarely a bench-craft scenario. Using “at least 3 Blue” (120 orbs) then rolling the remaining 3 sockets for 2 Red 1 Blue reduces the total to roughly 126 expected orbs — a massive improvement over random rolling. See the chromatic orb probability formula for the full multinomial derivation behind this kind of calculation.
Summary Table
| Item Type | Requirement Pattern | Off-Color Severity | Best Method |
|---|---|---|---|
| Strength armour, mild off-color | Single dominant attribute | Moderate | Compare random vs bench (close call) |
| Hybrid weapon | Two balanced attributes | Low | Random rolling |
| Single off-color socket (any item) | Single dominant attribute | Low-moderate (only 1 socket) | Usually random rolling |
| Jewellery | No requirements | None (equal odds) | Random rolling always |
| Heavy off-color 6-link | Single dominant attribute, opposite target | Severe | Vorici bench |
Enter your specific item’s requirements and target colors into the Vorici Calculator to get the exact cheapest method rather than estimating from these examples.