Snow

Snow — CS2 Stats

NO76561198010284343[U:1:50018615]Steam profile ↗✓ No bans

271Tracked matches47%Win rate2024Tracked since
CSDB Rating2.9 LearningPositional Player
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGSnowFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim24
Positioning48
Utility13

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateWWWWLWWTLL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −0.2pp headshot accuracy · −38ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 666ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 658ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 677ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim2.4
Utility1.3
Positioning4.8
Opening Duels1.0
Clutch4.8

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 68% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 680ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim2.4
Positioning4.8
Utility1.3
Mechanics3.7
Opening Duels0.6
Win Impact3.9

Composite 2.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time684ms+57ms
first ⅓ avg 627ms → last ⅓ avg 684ms
Headshot accuracy16.9%+3.1%
first ⅓ avg 13.8% → last ⅓ avg 16.9%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.29Best match rating · 9–1 · inferno, 2 Dec →
38%Best headshot accuracy · 2–9 · brewery, 6 Aug →
453msFastest reaction time · 9–6 · inferno, 10 Dec →
13–0Biggest win · inferno, 6 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
6–3In matches decided by ≤2 rounds
6Overtime games

Map breakdown

palaisBest map · 80% over 5mirageWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB2412–1250%-0.02
nukeA149–564%-0.04
dust2C94–544%-0.04
trainC94–544%-0.03
mirageD82–625%-0.04
anubisA74–357%-0.04
vertigoB63–350%0.01
ancientB63–350%-0.01
overpassC52–340%-0.07
palaisS54–180%0.04
whistle—32–167%0.03
golden—11–0100%-0.02
palacio—11–0100%-0.03
brewery—10–10%-0.16
edin—11–0100%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

92Matches
45%Win rate
0.72Avg K/D
56.5ADR
46%Headshot %

Clutches & streaks

44%1v1 clutch win
5%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno2241%0.878.8
Dust21631%0.6210.2
Mirage1429%0.599.8
Nuke1354%0.599.9
Anubis1362%0.7610.7
Train560%0.7111.8
Ancient580%0.9011.0
Vertigo425%0.8915.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.1%Headshot accuracy
27.3%Accuracy (enemy spotted)
27.8%Spray accuracy
66.7%Counter-strafing
11.7°Preaim
680msReaction time
30.1%T opening success
35.1%CT opening success
0.56Enemies flashed / flash
2.1%Flash assists
8.20HE damage / grenade
2.30Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.2976 — below the 4 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 30.0687% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
golden13–6-0.0216%7 Nov →
palacio13–10-0.035%7 Nov →
inferno13–0-0.0317%6 Aug →
dust213–9-0.0419%6 Aug →
mirage8–13-0.0325%6 Aug →
vertigo9–60.0821%6 Aug →
vertigo9–40.0835%6 Aug →
inferno8–8-0.150%6 Aug →
brewery2–9-0.1638%6 Aug →
train7–13-0.0313%16 Feb →
inferno10–13-0.0610%15 Feb →
nuke9–5-0.0017%14 Feb →
vertigo9–50.0713%14 Feb →
inferno9–60.0115%14 Feb →
mirage13–9-0.0022%26 Jan →
inferno3–13-0.1020%26 Jan →
inferno9–30.1130%26 Jan →
overpass13–4-0.0227%26 Jan →
train10–13-0.0022%26 Jan →
nuke13–11-0.0315%25 Jan →
mirage12–16-0.079%12 Jan →
anubis16–19-0.0616%3 Jan →
dust210–13-0.0412%3 Jan →
dust213–9-0.0313%2 Jan →
dust22–13-0.0612%2 Jan →
inferno13–9-0.0110%1 Jan →
mirage9–13-0.0617%30 Dec →
ancient6–13-0.0611%30 Dec →
anubis13–8-0.0521%29 Dec →
inferno13–10.1226%29 Dec →
dust28–13-0.0414%29 Dec →
nuke13–8-0.0410%29 Dec →
mirage10–13-0.039%29 Dec →
inferno7–13-0.057%29 Dec →
inferno9–70.0119%27 Dec →
palais9–50.1711%27 Dec →
nuke2–9-0.1315%27 Dec →
dust213–6-0.0215%27 Dec →
nuke6–13-0.0712%27 Dec →
anubis4–13-0.0719%27 Dec →
inferno13–8-0.0418%27 Dec →
inferno7–9-0.1217%27 Dec →
anubis4–13-0.0923%27 Dec →
dust24–13-0.0314%27 Dec →
overpass9–10.146%26 Dec →
inferno8–8-0.0118%26 Dec →
nuke9–6-0.0314%26 Dec →
anubis13–9-0.049%24 Dec →
mirage7–13-0.0314%24 Dec →
inferno10–13-0.0022%23 Dec →
anubis13–60.0416%22 Dec →
inferno2–13-0.0712%22 Dec →
mirage13–11-0.0219%22 Dec →
inferno4–13-0.0610%19 Dec →
train7–13-0.0810%19 Dec →
train13–4-0.018%15 Dec →
dust26–13-0.1124%15 Dec →
ancient16–13-0.0413%15 Dec →
inferno13–9-0.0610%15 Dec →
whistle9–70.0424%15 Dec →
overpass3–9-0.206%15 Dec →
nuke16–14-0.0414%14 Dec →
nuke10–13-0.0312%11 Dec →
edin13–90.0121%11 Dec →
train9–13-0.0413%11 Dec →
nuke9–50.026%10 Dec →
inferno9–60.0011%10 Dec →
palais6–9-0.0925%10 Dec →
inferno4–13-0.096%9 Dec →
train13–8-0.0417%4 Dec →
dust213–10-0.0019%4 Dec →
nuke6–13-0.0213%4 Dec →
inferno2–13-0.0616%4 Dec →
nuke9–6-0.0523%2 Dec →
inferno9–10.2925%2 Dec →
whistle9–10.1211%1 Dec →
palais9–20.0721%1 Dec →
nuke13–5-0.0511%27 Nov →
ancient13–11-0.0111%27 Nov →
inferno5–13-0.097%26 Nov →
palais9–40.056%25 Nov →
overpass6–9-0.1410%25 Nov →
whistle7–9-0.0710%25 Nov →
palais9–60.0112%25 Nov →
nuke2–13-0.0424%24 Nov →
train16–13-0.0014%20 Nov →
nuke13–10-0.0310%20 Nov →
vertigo2–130.026%16 Nov →
ancient13–50.0212%16 Nov →
inferno13–5-0.0119%16 Nov →
overpass12–12-0.106%16 Nov →
ancient6–130.0415%16 Nov →
ancient2–70.026%16 Nov →
vertigo11–13-0.0913%16 Nov →
mirage12–16-0.0611%15 Nov →
anubis13–8-0.0614%15 Nov →
train2–13-0.0414%15 Nov →
train13–6-0.0511%14 Nov →
vertigo6–13-0.1113%13 Nov →
inferno13–3-0.0324%13 Nov →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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