Cdrkツ

Cdrkツ — CS2 Stats

FR76561197965903085[U:1:5637357]Steam profile ↗✓ No bans

525Tracked matches46%Win rate2023Tracked since
1,874Hours in CS10Hrs last 2 wks
CSDB Rating5.0 DevelopingSupport
FaceitLevel 5 · 715 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (66 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 715 → 715
+109Tracked matches · now 525
0.0ppWin rate · 46.4% → 46.4%

Rating over time

715Highest Faceit ELO seen on CSDB
34Days played since 2026-08-29

Faceit ELO

  • At peak — 715
  • Next: Level 3 at 751 — 36 to go
  • Reached: Level 2
  • Level 2 first seen 2026-09-06

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate51.1%43.8%44.8%above
Shot accuracy12.0%12.0%12.4%0.4% short
Kill/death ratio0.951.021.030.08 short
Match win rate41.7%44.7%45.2%3.5% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGCdrkツFACEITLevel 5 · 715 ELOSTANDINGTop 67.6% of rankedPEAK ELO715csdb.gg/stats

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Performance scores

Aim64
Positioning53
Utility67

0–100 skill scores via Leetify.

Recent form

COLD46–49–5Last 10046%Win rateLLLWLLLLLL

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · −1.9pp headshot accuracy · −2ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 600ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 570ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 571ms

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 (+2.6 against its own average).

Aim6.4
Utility6.7
Positioning5.3
Opening Duels1.8
Clutch2.8

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 75% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 593ms 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

Aim6.4
Positioning5.3
Utility6.7
Mechanics4.8
Opening Duels4.5
Win Impact3.8

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time599ms−65ms
first ⅓ avg 664ms → last ⅓ avg 599ms
Headshot accuracy16.3%−2.7%
first ⅓ avg 18.9% → last ⅓ avg 16.3%

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

0.13Best match rating · 13–1 · dust2, 1 Sept →
53%Best headshot accuracy · 13–7 · mirage, 17 Sept →
406msFastest reaction time · 4–13 · inferno, 7 Nov →
13–0Biggest win · inferno, 2 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
5–5In matches decided by ≤2 rounds
2Overtime games

Map breakdown

dust2Best map · 48% over 27cacheWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B2713–1448%-0.00
mirageB2512–1348%-0.01
infernoB2411–1346%-0.01
nukeB136–746%0.02
cacheC73–443%-0.01
train—30–30%-0.00
anubis—11–0100%-0.01

Across the last 100 tracked matches.

Lifetime stats

53,105Lifetime kills
0.95K/D
2,446Matches
41.7%Match win rate
51.1%Headshot % · Top 25% of Level 5 players
12.0%Shot accuracy · Top 50% of Level 5 players
5,260MVPs
1,375Hours (in match)
2,444Bombs planted
646Bombs defused

Most-used weapons

AK-4718,109
AWP4,326
MP72,510
FAMAS2,185
UMP-451,698

Lifetime map wins

5,123dust2
3,839inferno
2,888nuke
373train
172vertigo
116office
112lake
42italy

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

Faceit stats

Combat

186Matches
47%Win rate
1.13Avg K/D
82.5ADR
43%Headshot %

Clutches & streaks

34%1v1 clutch win
14%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust23250%1.1516.2
Mirage3060%1.2816.4
Inferno1741%1.0213.8
Nuke1145%1.4515.4
Ancient944%1.2215.4
Anubis862%1.2118.3
Overpass250%0.6811.5
Cache1100%0.699.0

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.

16.5%Headshot accuracy
36.9%Accuracy (enemy spotted)
40.9%Spray accuracy
71.4%Counter-strafing
10.8°Preaim
593msReaction time
55.4%T opening success
40.6%CT opening success
0.58Enemies flashed / flash
7.8%Flash assists
11.41HE damage / grenade
17.68Flashes / match

Recommended for you

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
nuke5–13-0.0616%9 Nov →
mirage4–13-0.0215%9 Nov →
inferno8–130.0119%9 Nov →
dust213–9-0.0614%9 Nov →
mirage10–13-0.0922%7 Nov →
dust27–130.0213%7 Nov →
inferno4–13-0.0319%7 Nov →
dust20–13-0.038%4 Nov →
inferno6–13-0.0414%4 Nov →
mirage11–13-0.0211%4 Nov →
dust25–13-0.0026%31 Oct →
inferno11–13-0.077%31 Oct →
cache6–13-0.118%31 Oct →
mirage16–14-0.0511%29 Oct →
mirage13–7-0.0119%29 Oct →
dust29–13-0.0630%28 Oct →
inferno8–13-0.0426%27 Oct →
dust213–7-0.0014%27 Oct →
mirage5–13-0.0013%27 Oct →
nuke13–10-0.0517%26 Oct →
inferno13–20.0413%26 Oct →
dust213–6-0.0216%26 Oct →
nuke12–120.0516%24 Oct →
mirage13–40.0511%24 Oct →
dust213–110.0317%24 Oct →
cache13–60.0620%24 Oct →
inferno13–20.0919%24 Oct →
train12–120.0327%24 Oct →
nuke13–90.0211%22 Oct →
mirage13–70.1022%22 Oct →
dust28–13-0.0110%22 Oct →
cache2–13-0.0020%22 Oct →
nuke9–130.0213%20 Oct →
dust213–4-0.0224%20 Oct →
cache13–80.0521%17 Oct →
inferno9–13-0.0215%17 Oct →
mirage13–8-0.0029%17 Oct →
inferno13–10-0.106%15 Oct →
mirage12–12-0.0225%15 Oct →
dust213–50.077%15 Oct →
train9–130.0015%15 Oct →
dust213–10-0.0317%13 Oct →
nuke10–130.0222%13 Oct →
dust213–7-0.0618%13 Oct →
inferno1–13-0.0744%12 Oct →
mirage11–13-0.1013%12 Oct →
inferno13–80.0214%10 Oct →
dust210–130.0322%10 Oct →
mirage10–13-0.0017%10 Oct →
mirage13–10-0.0311%5 Oct →
inferno13–110.0310%4 Oct →
mirage8–13-0.0121%4 Oct →
mirage13–80.0024%2 Oct →
inferno13–16-0.0518%2 Oct →
anubis13–5-0.0128%30 Sept →
inferno12–12-0.0029%28 Sept →
mirage13–9-0.0530%28 Sept →
inferno13–6-0.1013%23 Sept →
dust211–130.1121%23 Sept →
mirage2–13-0.0430%23 Sept →
train8–13-0.0520%21 Sept →
nuke13–70.0633%21 Sept →
mirage5–4-0.0128%21 Sept →
inferno7–13-0.0420%21 Sept →
dust213–10.0413%21 Sept →
cache8–13-0.0710%19 Sept →
dust25–130.0117%19 Sept →
mirage13–70.0022%19 Sept →
inferno13–30.0410%19 Sept →
nuke4–130.0032%19 Sept →
inferno13–10-0.0117%17 Sept →
mirage13–70.0353%17 Sept →
dust28–13-0.0416%17 Sept →
dust212–12-0.0429%14 Sept →
inferno2–13-0.137%14 Sept →
dust24–13-0.0326%13 Sept →
cache13–80.0315%13 Sept →
nuke13–80.0713%13 Sept →
dust25–13-0.0317%10 Sept →
cache8–13-0.0022%10 Sept →
inferno11–130.0418%10 Sept →
nuke13–60.0310%8 Sept →
inferno10–13-0.0116%8 Sept →
mirage9–130.014%8 Sept →
dust213–6-0.0613%8 Sept →
dust213–10-0.0120%7 Sept →
inferno13–110.0014%7 Sept →
mirage10–13-0.057%7 Sept →
dust27–13-0.0824%6 Sept →
inferno13–50.0916%6 Sept →
nuke10–13-0.0310%6 Sept →
dust213–40.028%6 Sept →
mirage3–13-0.0624%6 Sept →
nuke13–90.0521%2 Sept →
inferno13–00.0729%2 Sept →
mirage5–130.0018%2 Sept →
dust210–130.0120%2 Sept →
dust213–10.1337%1 Sept →
mirage13–60.0211%1 Sept →
nuke8–130.0327%29 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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