Whitensnake

Whitensnake — CS2 Stats

76561198043237530[U:1:82971802]Steam profile ↗✓ No bans

422Tracked matches41%Win rate2021Tracked since
CSDB Rating4.0 DevelopingPositional Player
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 10,657 -2,013 17 Oct – 17 Jan · 16 days played
10,21013,374peak 13,37417 Oct17 Jan
13,374Peak Premier in tracked matches
24Days played since 2025-09-20

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGWhitensnakeFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim37
Positioning54
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY40–57–3Last 10040%Win rateLTWWWWLLLL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −2.0pp headshot accuracy · +56ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 636ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 681ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 654ms

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).

Aim3.7
Utility4.7
Positioning5.4
Opening Duels1.9

Strong T-side opener

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

ZywOo

Plays most like ZywOo 68% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 639ms 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

Aim3.7
Positioning5.4
Utility4.7
Mechanics5.0
Opening Duels1.4
Win Impact2.1

Composite 4.0/10 (Developing), 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-0.00+0.04
first ⅓ avg -0.04 → last ⅓ avg -0.00
Reaction time637ms−66ms
first ⅓ avg 703ms → last ⅓ avg 637ms
Headshot accuracy15.3%+0.7%
first ⅓ avg 14.5% → last ⅓ avg 15.3%

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

0.09Best match rating · 13–3 · overpass, 6 Mar →
33%Best headshot accuracy · 13–9 · overpass, 19 Oct →
469msFastest reaction time · 9–13 · inferno, 24 Jan →
13–3Biggest win · overpass, 6 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

overpassBest map · 50% over 14dust2Weakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
mirageC2410–1442%-0.02
infernoC229–1341%0.01
nukeC167–944%-0.02
overpassB147–750%-0.01
dust2D91–811%-0.04
ancientC73–443%-0.04
train—42–250%0.03
cache—31–233%-0.01
anubis—10–10%-0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

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

15.4%Headshot accuracy
30.2%Accuracy (enemy spotted)
36.5%Spray accuracy
72.5%Counter-strafing
13.3°Preaim
639msReaction time
41.0%T opening success
28.7%CT opening success
0.54Enemies flashed / flash
1.5%Flash assists
9.27HE damage / grenade
9.15Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.327° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Dust 2

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke7–13-0.0220%10 Jul →
inferno15–150.0223%10 Jul →
nuke13–90.0419%10 Jul →
cache13–90.0615%10 Jul →
ancient16–13-0.0015%3 Jul →
overpass13–40.024%3 Jul →
mirage9–130.038%3 Jul →
ancient11–13-0.0217%3 Jul →
cache6–13-0.0413%3 Jul →
cache8–13-0.0512%26 Jun →
nuke13–10-0.0123%26 Jun →
mirage12–16-0.0018%26 Jun →
nuke14–16-0.0415%26 Jun →
anubis7–13-0.0926%26 Jun →
overpass13–10-0.0415%26 Jun →
inferno7–13-0.0719%26 Jun →
overpass5–13-0.0412%26 Jun →
inferno13–70.0616%26 Jun →
overpass13–30.096%6 Mar →
mirage13–8-0.0017%6 Mar →
inferno13–30.0717%27 Feb →
inferno9–130.0313%27 Feb →
mirage11–13-0.0011%27 Feb →
inferno10–13-0.0213%24 Jan →
mirage5–13-0.049%24 Jan →
overpass2–13-0.0411%24 Jan →
inferno9–130.0322%24 Jan →
inferno13–30.0811%24 Jan →
inferno10–130.0526%24 Jan →
inferno13–11-0.035%17 Jan →
overpass6–13-0.0713%17 Jan →
nuke8–13-0.0116%26 Dec →
mirage8–130.0222%26 Dec →
mirage13–11-0.0113%19 Dec →
overpass6–13-0.0112%19 Dec →
inferno13–10-0.0312%19 Dec →
mirage13–10-0.048%19 Dec →
mirage11–130.057%12 Dec →
train15–150.0311%12 Dec →
nuke13–60.0514%12 Dec →
inferno13–4-0.0115%12 Dec →
dust25–13-0.0417%12 Dec →
mirage13–7-0.016%11 Dec →
train13–3-0.055%11 Dec →
dust27–13-0.0524%11 Dec →
inferno11–13-0.0432%11 Dec →
overpass13–8-0.0417%11 Dec →
dust211–13-0.0419%11 Dec →
train13–70.0920%6 Dec →
nuke13–5-0.024%6 Dec →
inferno13–30.0412%6 Dec →
mirage13–110.0513%6 Dec →
train6–130.0516%6 Dec →
inferno13–7-0.0013%6 Dec →
overpass9–13-0.0311%5 Dec →
ancient5–13-0.0232%5 Dec →
overpass3–13-0.038%5 Dec →
mirage13–110.059%5 Dec →
inferno4–130.0018%21 Nov →
overpass13–30.055%21 Nov →
nuke10–130.0714%20 Nov →
inferno3–130.039%19 Nov →
overpass10–130.0414%18 Nov →
mirage13–5-0.0113%16 Nov →
nuke6–13-0.0616%16 Nov →
nuke6–13-0.0412%16 Nov →
dust28–13-0.0313%16 Nov →
mirage4–13-0.089%16 Nov →
nuke13–11-0.014%25 Oct →
ancient13–10-0.0313%25 Oct →
overpass13–8-0.0220%25 Oct →
mirage13–4-0.0113%25 Oct →
inferno13–10-0.0215%25 Oct →
dust213–100.0610%25 Oct →
ancient15–15-0.039%25 Oct →
nuke13–10-0.0617%19 Oct →
overpass13–9-0.0533%19 Oct →
mirage13–7-0.0220%19 Oct →
dust25–13-0.0621%19 Oct →
dust22–10-0.0226%19 Oct →
mirage9–13-0.0215%19 Oct →
inferno2–13-0.1418%18 Oct →
mirage10–13-0.1422%18 Oct →
dust21–13-0.110%18 Oct →
dust20–5-0.1113%18 Oct →
ancient6–13-0.090%18 Oct →
mirage3–13-0.0819%18 Oct →
mirage5–13-0.0814%18 Oct →
inferno9–130.0421%17 Oct →
inferno5–13-0.0111%17 Oct →
inferno3–130.0814%17 Oct →
nuke13–60.0115%17 Oct →
mirage13–70.0010%17 Oct →
nuke3–13-0.0813%3 Oct →
ancient13–9-0.0511%3 Oct →
mirage8–130.087%3 Oct →
nuke4–13-0.1014%20 Sept →
nuke2–13-0.0815%20 Sept →
mirage1–13-0.0815%20 Sept →
mirage2–13-0.0525%20 Sept →

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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