iSnow

iSnow — CS2 Stats

76561198290233082[U:1:329967354]Steam profile ↗✓ No bans

4,489Tracked matches56%Win rate2020Tracked since
CSDB Rating6.6 SolidPositional Player
Premier CS Rating22,278Top 50% of 213,740 CSDB-tracked playersPink band · top ~6% of ranked players (population est.)
CSDB Leaderboard#53083 of 260207 tracked
FaceitLevel 8 · 1,881 ELOTop 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,278 -2,840 4 Sept – 5 Nov · 17 days played
21,63725,118peak 25,1184 Sept5 Nov
Faceit ELO: 1,881 +0 4 Sept – 22 Sept · 2 observations
1,8811,881peak 1,8814 Sept22 Sept
25,118Peak Premier in tracked matches
1,881Highest Faceit ELO seen on CSDB
22Days played since 2026-09-04

Faceit ELO

  • At peak — 1,881
  • Next: Level 10 at 2,001 — 120 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-04
  • Level 8 first seen 2026-09-04

Premier CS Rating

  • 2,840 below peak (25,118)
  • -1,519 over 30 days · declining
  • Next: Red band at 25,000 — 2,722 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-04
  • Pink band first seen 2026-09-04

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGiSnowFACEITLevel 8 · 1,881 ELOSTANDINGTop 31.2% of rankedPREMIER22,278 · Pink bandPEAK ELO1,881csdb.gg/stats

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Performance scores

Aim72
Positioning60
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY45–46–9Last 10045%Win rateWLWLLWTLWW

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −3.7pp headshot accuracy · +37ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 28%
  • Avg reaction 647ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 644ms

Last 20

  • 11–6–3 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 26%
  • Avg reaction 626ms

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 (+1.4 against its own average).

Aim7.2
Utility4.9
Positioning6.0
Opening Duels3.8
Clutch3.6

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

jL

Plays most like jL 92% 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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 608ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim7.2
Positioning6.0
Utility4.9
Mechanics6.5
Opening Duels6.7
Win Impact6.9

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time616ms+35ms
first ⅓ avg 581ms → last ⅓ avg 616ms
Headshot accuracy25.6%+4.8%
first ⅓ avg 20.7% → last ⅓ avg 25.6%

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

0.14Best match rating · 13–1 · dust2, 5 Nov →
45%Best headshot accuracy · 2–6 · rush_001, 12 Oct →
359msFastest reaction time · 3–13 · inferno, 17 Oct →
13–1Biggest win · dust2, 5 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak
10–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 52% over 23nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B2512–1348%0.01
mirageB2312–1152%-0.01
infernoC188–1044%0.00
anubisC114–736%0.00
nukeD93–633%0.00
cacheB63–350%-0.02
ancient—31–233%0.00
rush_001—31–233%-0.04
vertigo—11–0100%-0.02
train—10–10%0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,514Matches
51%Win rate
1.01Avg K/D
79.8ADR
52%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
13Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Dust227952%0.9315.3
Mirage25744%0.9214.8
Inferno20448%0.9816.5
Ancient15255%1.0715.9
Anubis14046%0.9615.3
Nuke9553%0.9715.9
Vertigo8658%0.9415.5
Overpass2357%0.9013.1

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.

25.1%Headshot accuracy
32.9%Accuracy (enemy spotted)
37.3%Spray accuracy
79.1%Counter-strafing
10.4°Preaim
608msReaction time
62.1%T opening success
51.8%CT opening success
0.48Enemies flashed / flash
4.7%Flash assists
5.85HE damage / grenade
11.85Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4842 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–40.0728%7 Nov →
mirage5–13-0.1029%7 Nov →
inferno13–8-0.0131%7 Nov →
anubis8–130.0324%6 Nov →
mirage11–13-0.0326%6 Nov →
nuke13–90.0519%6 Nov →
cache12–12-0.0520%6 Nov →
dust211–130.0422%6 Nov →
inferno13–30.0616%5 Nov →
dust213–80.0426%5 Nov →
dust29–13-0.0337%5 Nov →
dust213–20.1027%5 Nov →
dust213–60.0625%5 Nov →
dust212–120.0531%5 Nov →
dust213–10.1431%5 Nov →
mirage9–70.0126%5 Nov →
anubis16–140.0324%5 Nov →
mirage10–130.0222%5 Nov →
mirage13–110.0625%31 Oct →
nuke15–15-0.0130%31 Oct →
mirage7–13-0.0324%31 Oct →
anubis2–6-0.0031%31 Oct →
mirage8–13-0.0521%31 Oct →
cache1–13-0.0229%31 Oct →
dust27–13-0.0432%31 Oct →
anubis13–7-0.0118%31 Oct →
mirage13–8-0.0617%31 Oct →
mirage3–13-0.0130%31 Oct →
inferno13–4-0.0515%31 Oct →
inferno13–90.0520%30 Oct →
nuke13–70.0124%29 Oct →
anubis8–13-0.0324%29 Oct →
inferno11–13-0.0138%29 Oct →
mirage13–100.0314%29 Oct →
inferno11–13-0.0515%29 Oct →
inferno13–50.0415%29 Oct →
dust213–11-0.0024%29 Oct →
mirage13–50.0126%25 Oct →
mirage17–190.0323%25 Oct →
cache8–13-0.0327%25 Oct →
mirage9–12-0.0110%24 Oct →
anubis4–13-0.0239%24 Oct →
dust213–70.0815%24 Oct →
mirage5–13-0.0827%24 Oct →
vertigo13–5-0.0224%24 Oct →
inferno10–130.0223%24 Oct →
inferno13–10-0.0017%24 Oct →
dust213–4-0.0526%24 Oct →
anubis13–70.0217%20 Oct →
dust213–6-0.0119%20 Oct →
ancient12–16-0.0518%17 Oct →
inferno11–13-0.0122%17 Oct →
dust29–13-0.1110%17 Oct →
mirage13–110.0314%17 Oct →
inferno13–90.0528%17 Oct →
inferno3–130.0126%17 Oct →
mirage13–7-0.0318%17 Oct →
nuke0–9-0.0721%17 Oct →
mirage13–20.0530%17 Oct →
inferno13–100.0120%17 Oct →
inferno6–130.0132%17 Oct →
dust24–130.0228%16 Oct →
anubis10–13-0.0219%15 Oct →
dust212–120.018%15 Oct →
dust212–120.0740%14 Oct →
mirage13–9-0.0119%14 Oct →
rush_0012–60.0545%12 Oct →
dust28–13-0.0112%11 Oct →
cache13–11-0.0119%11 Oct →
inferno9–13-0.0618%11 Oct →
ancient9–10.0526%11 Oct →
cache13–100.0412%11 Oct →
anubis13–10.0635%11 Oct →
dust28–130.0120%10 Oct →
inferno8–130.0230%10 Oct →
dust212–120.0822%10 Oct →
dust213–6-0.0716%10 Oct →
dust213–90.0018%10 Oct →
dust212–12-0.0215%10 Oct →
inferno2–13-0.0522%10 Oct →
anubis10–13-0.0518%9 Oct →
dust213–11-0.0324%8 Oct →
nuke12–120.0925%8 Oct →
rush_0011–5-0.0931%7 Oct →
rush_0018–7-0.090%7 Oct →
train10–130.0423%7 Oct →
dust213–11-0.0124%6 Oct →
mirage7–13-0.0637%6 Oct →
nuke7–13-0.0825%6 Oct →
nuke13–9-0.0113%6 Oct →
mirage13–70.0713%6 Oct →
mirage16–14-0.0431%6 Oct →
anubis10–130.0120%4 Oct →
dust212–16-0.0320%4 Oct →
ancient11–130.0119%4 Oct →
nuke9–130.0716%3 Oct →
nuke12–12-0.0231%3 Oct →
mirage7–13-0.0617%3 Oct →
inferno4–130.0117%3 Oct →
cache13–10-0.0117%3 Oct →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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