-SCAR_

-SCAR_ — CS2 Stats

76561198169604003[U:1:209338275]Steam profile ↗✓ No bans

1,412Tracked matches57%Win rate2020Tracked since
5,849Hours in CS21Hrs last 2 wks
CSDB Rating5.6 SolidSupport
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,412 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,233 +525 5 Mar – 22 Mar · 9 days played
17,39919,045peak 19,0455 Mar22 Mar
19,045Peak Premier in tracked matches
40Days played since 2026-02-27

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches49——
Win rate43%——
K/D0.83——
Headshot %57%——

Measured 30 Aug 2026 → 28 Sep 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=14,295), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate53.8%48.2%50.9%above
Shot accuracy16.8%13.3%13.8%above
Kill/death ratio0.891.071.090.20 short
Match win rate52.3%46.9%48.4%above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG-SCAR_FACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim73
Positioning41
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateWLLWLLLWWW

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −0.8pp headshot accuracy · −82ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 26%
  • Avg reaction 511ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 530ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 570ms

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: Support — Utility contribution stands above the rest of this profile (+2.8 against its own average).

Aim7.3
Utility6.0
Positioning4.1
Opening Duels0.0
Clutch2.6

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

Twistzz

Plays most like Twistzz 88% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Reaction time. 588ms 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

Aim7.3
Positioning4.1
Utility6.0
Mechanics5.9
Opening Duels0.5
Win Impact7.2

Composite 5.6/10 (Solid), 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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time584ms−49ms
first ⅓ avg 633ms → last ⅓ avg 584ms
Headshot accuracy26.5%+3.9%
first ⅓ avg 22.6% → last ⅓ avg 26.5%

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 · 13–10 · ancient, 8 Mar →
50%Best headshot accuracy · 9–13 · cache, 30 Apr →
430msFastest reaction time · 6–13 · dust2, 11 Apr →
13–1Biggest win · cache, 30 Apr →

Across the last 100 tracked matches.

Highlights

9Longest win streak
10–4In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 80% over 5cacheWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B3316–1748%-0.01
mirageB157–847%0.00
anubisA106–460%-0.02
infernoB84–450%-0.03
ancientA74–357%0.02
cacheC73–443%-0.00
nukeS54–180%0.02
overpassS54–180%0.00
cache_bS54–180%0.01
train—41–325%-0.01
vertigo—10–10%0.01

Across the last 100 tracked matches.

Lifetime stats

170,762Lifetime kills
0.89K/D
5,863Matches
52.3%Match win rate · Top 25% of Level 9 players
53.8%Headshot % · Top 25% of Level 9 players
16.8%Shot accuracy · Top 25% of Level 9 players
25,646MVPs
4,268Hours (in match)
10,441Bombs planted
4,962Bombs defused

Most-used weapons

AK-4755,558
AUG7,814
AWP7,373
P2504,429
Tec-94,222
Knife3,942

Lifetime map wins

23,542inferno
15,898dust2
5,085nuke
2,636vertigo
2,542train
2,345cbble
22lake
16office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

2,722Matches
51%Win rate
1.11Avg K/D
69.2ADR
47%Headshot %

Clutches & streaks

33%1v1 clutch win
22%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust26939%0.9314.0
Mirage5153%1.0014.5
Anubis4236%0.8713.8
Inferno3067%1.0215.1
Cache1656%0.9213.8
Ancient1275%1.1115.1
Nuke1258%0.9714.8
Overpass956%1.1616.7

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.

26.3%Headshot accuracy
29.8%Accuracy (enemy spotted)
35.3%Spray accuracy
76.6%Counter-strafing
8.5°Preaim
588msReaction time
33.8%T opening success
26.8%CT opening success
0.60Enemies flashed / flash
5.1%Flash assists
10.63HE damage / grenade
8.43Flashes / 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

    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 33.7628% — below the 40% mark we flag

Spend your practice time on Cache

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient16–14-0.0025%19 Sept →
cache5–13-0.0342%16 Sept →
mirage4–13-0.0521%2 Sept →
inferno13–11-0.0316%2 Sept →
inferno6–13-0.1023%2 Sept →
vertigo8–130.0131%15 Aug →
cache6–13-0.0132%31 Jul →
cache13–40.0213%26 Jul →
ancient13–11-0.0329%21 Jul →
mirage13–9-0.0020%21 Jul →
dust213–7-0.0516%16 Jul →
nuke13–110.0921%13 Jul →
mirage13–8-0.0047%6 Jul →
overpass16–12-0.0015%27 Jun →
mirage13–10-0.0230%27 Jun →
dust213–40.0131%16 Jun →
nuke11–13-0.0131%12 Jun →
dust213–30.0233%3 Jun →
dust213–90.0416%3 Jun →
dust210–13-0.0220%30 May →
dust213–7-0.0036%30 May →
dust213–100.0124%29 May →
overpass13–50.0511%29 May →
dust213–70.0027%29 May →
train7–130.0128%24 May →
dust28–13-0.0023%24 May →
train1–13-0.0436%22 May →
anubis2–13-0.0731%22 May →
anubis6–13-0.0817%20 May →
cache9–13-0.0450%30 Apr →
dust28–13-0.0433%30 Apr →
cache13–11-0.0025%30 Apr →
cache6–13-0.0220%30 Apr →
cache13–10.0623%30 Apr →
anubis8–13-0.0726%24 Apr →
dust213–4-0.0229%24 Apr →
dust213–70.0314%24 Apr →
dust25–13-0.1021%15 Apr →
train10–13-0.0322%15 Apr →
inferno13–9-0.036%15 Apr →
dust213–6-0.0128%13 Apr →
overpass5–13-0.0720%13 Apr →
mirage10–130.0825%11 Apr →
dust26–13-0.0414%11 Apr →
dust213–8-0.0132%11 Apr →
ancient10–13-0.0613%11 Apr →
inferno16–14-0.0324%9 Apr →
dust27–13-0.0932%9 Apr →
mirage8–13-0.0120%9 Apr →
dust26–13-0.0335%9 Apr →
inferno15–19-0.0224%29 Mar →
dust210–13-0.0131%29 Mar →
cache_b13–90.018%29 Mar →
cache_b19–160.0223%29 Mar →
mirage11–13-0.0121%22 Mar →
cache_b13–20.0336%22 Mar →
inferno13–11-0.0120%22 Mar →
dust24–13-0.0117%22 Mar →
dust26–130.0338%22 Mar →
mirage13–90.0113%20 Mar →
dust24–13-0.0216%20 Mar →
mirage10–13-0.0517%17 Mar →
dust213–60.0317%11 Mar →
overpass13–80.0525%11 Mar →
dust213–60.0622%11 Mar →
dust27–13-0.0616%9 Mar →
anubis13–100.0119%9 Mar →
dust213–16-0.0224%8 Mar →
ancient13–8-0.0131%8 Mar →
dust27–13-0.0329%8 Mar →
anubis13–9-0.0310%8 Mar →
ancient9–130.0320%8 Mar →
ancient13–100.1419%8 Mar →
nuke13–60.0312%7 Mar →
dust210–13-0.0517%7 Mar →
anubis13–40.0729%7 Mar →
train13–110.0126%7 Mar →
dust213–9-0.0031%7 Mar →
inferno8–13-0.0317%7 Mar →
ancient14–160.0529%6 Mar →
cache_b13–40.0124%6 Mar →
mirage0–13-0.054%6 Mar →
anubis15–150.0313%6 Mar →
inferno12–16-0.0129%6 Mar →
mirage13–30.0216%6 Mar →
anubis13–10-0.0520%5 Mar →
nuke13–9-0.0223%5 Mar →
mirage13–100.0934%5 Mar →
mirage6–13-0.0119%5 Mar →
mirage13–50.0645%4 Mar →
mirage11–130.0022%4 Mar →
overpass13–7-0.0225%3 Mar →
nuke13–100.0116%3 Mar →
anubis13–10-0.018%1 Mar →
dust213–70.0630%1 Mar →
cache_b10–13-0.0326%28 Feb →
dust210–130.0122%28 Feb →
anubis13–11-0.0321%28 Feb →
dust27–13-0.0130%27 Feb →
dust219–17-0.0126%27 Feb →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.