Backcheck
Combinations · chemistry

The Line Lab

Which trios actually work when they're on the ice together. We compare what a line shouldproduce given who's on it against what it actually produces — the difference is chemistry. Every unit below really played together at 5-on-5; nothing is hypothetical.

How to read this

Nothing here is invented: every line and pair below actually played together at 5-on-5, with real minutes attached. For each unit we show its observed — the slice of scoring chances it controlled while on the ice, where 50% means break-even.

The interesting part is the split. We first compute an : what those players should produce together if a line were just the sum of its parts. Whatever the real unit does beyond that is the — the closest a spreadsheet gets to measuring whether three players actually fit. Small-minute units are noisy, so read a big bonus on 30 minutes as a hypothesis, not a verdict — and remember this is a model estimate, not the coach's lineup card.

BASE
what the unit “should” produce — its members' individual profiles, added up
CHEM
observed share minus base: the whole vs. the sum of the parts
PROJ
base + chem — the model's expectation if the unit stays together
TICK
the hairline on each bar marks 50% — the break-even line
Fine print · verbatim from the model
  • Lines recovered from MoneyPuck lines.csv (5on5, observed deployment); chemistry = observed xG% minus additive archetype base. Model-estimated.
UTAUtah Mammoth73 units observed · 5v5As of Sun, Sep 20
Forward lines
4 units
  • 01
    Michael Carcone – Jack McBain – Daniil But
    Together this unit controls play outright — 66% of expected goals, 6 points better than these players' profiles predict. Real chemistry.
    124 min together 60 +6 → proj 66
    66.0%
    · obs.
  • 02
    Nick Schmaltz – Clayton Keller – Barrett Hayton
    Together this unit controls play outright — 62% of expected goals, 7 points better than these players' profiles predict. Real chemistry.
    183 min together 55 +7 → proj 62
    62.0%
    · obs.
  • 03
    Kailer Yamamoto – Dylan Guenther – Logan Cooley
    Together this unit controls play outright — 57% of expected goals, about what the talent on it predicts.
    123 min together 55 +2 → proj 57
    57.0%
    · obs.
  • 04
    Liam O'Brien – Kevin Stenlund – Brandon Tanev
    Together this unit plays about even — 50% of expected goals, 7 points better than these players' profiles predict. Real chemistry.
    178 min together 43 +7 → proj 50
    50.0%
    · obs.
Defense pairs
3 units
  • 01
    Ian Cole – Nick DeSimone
    Together this unit controls play outright — 57% of expected goals, 24 points better than these players' profiles predict. Real chemistry.
    354 min together 34 +24 → proj 57
    57.0%
    · obs.
  • 02
    Nate Schmidt – John Marino
    Together this unit controls play outright — 56% of expected goals, 25 points better than these players' profiles predict. Real chemistry.
    991 min together 31 +25 → proj 56
    56.0%
    · obs.
  • 03
    Mikhail Sergachev – Sean Durzi
    Together this unit tilts the ice — 52% of expected goals, 23 points better than these players' profiles predict. Real chemistry.
    494 min together 29 +23 → proj 52
    52.0%
    · obs.
◆ The ModelObserved 5v5 deployment · MoneyPuck linesModel-estimated proxy, not a lineup card

Lines recovered from MoneyPuck lines.csv (5on5, observed deployment); chemistry = observed xG% minus additive archetype base. Model-estimated.