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cldwalkr — CS2 Stats

76561197966406787[U:1:6141059]

1,236Tracked matches45%Win rate2022Tracked since
CSDB Rating3.6 Learning
FaceitLevel 5 · 1,140 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGcldwalkrFACEITLevel 5 · 1,140 ELOSTANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim43
Positioning40
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY53–43–4Last 10053%Win rateLLLWLWWWLL

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Aim4.3
Aggression3.0
Utility3.6
Positioning4.0
Opening Duels0.0
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.

Your pro match

NiKo

Plays most like NiKo 73% playstyle similarity

Most alike: opening-fight frequency, 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

T-side openings. Opening success drops from 40% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 745ms 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

Aim4.3
Positioning4.0
Utility3.6
Mechanics5.8
Opening Duels1.2
Win Impact3.3

Composite 3.6/10 (Learning), 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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time741ms−13ms
first ⅓ avg 754ms → last ⅓ avg 741ms
Headshot accuracy21.9%+2.2%
first ⅓ avg 19.7% → last ⅓ avg 21.9%

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.

Highlights

0.12Best rating — ancient 13–10
13–1Biggest win — inferno
7Longest win streak
L3Current streak
9–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 61% over 31infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A3119–1261%-0.01
mirageB3016–1453%-0.02
ancientB115–645%-0.01
nukeA116–555%-0.01
infernoD93–633%0.01
anubis—42–250%-0.05
overpass—32–167%0.02
office—10–10%-0.06

Across the last 100 tracked matches.

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

Faceit stats

Combat

14Matches
64%Win rate
0.89Avg K/D
70.6ADR
54%Headshot %

Clutches & streaks

38%1v1 clutch win
18%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust2450%0.8417.8
Ancient367%0.9514.7
Inferno2100%0.7811.5
Mirage2100%1.1415.5
Nuke20%0.7414.5
Overpass1100%0.9415.0

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.

21.5%Headshot accuracy
31.5%Accuracy (enemy spotted)
34.5%Spray accuracy
76.0%Counter-strafing
11.9°Preaim
745msReaction time
18.8%T opening success
39.8%CT opening success
0.41Enemies flashed / flash
6.4%Flash assists
9.48HE damage / grenade
4.92Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 745.3948ms — above the 700ms mark we flag

    Aim Training →
  2. 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 0.4108 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 18.7704% — below the 40% mark we flag

Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–130.0511%21 Aug →
anubis5–13-0.067%18 Aug →
mirage6–13-0.0535%18 Aug →
ancient13–3-0.0453%18 Aug →
inferno7–13-0.0523%17 Aug →
anubis13–6-0.0111%17 Aug →
anubis13–11-0.0418%13 Aug →
dust213–80.0014%23 Jun →
mirage11–13-0.0226%29 May →
anubis8–13-0.0820%29 May →
mirage11–13-0.0714%13 May →
mirage13–9-0.0323%11 May →
dust25–13-0.0520%10 May →
dust212–12-0.0020%18 Apr →
ancient10–13-0.0740%13 Apr →
mirage13–100.0325%11 Apr →
mirage13–110.0014%5 Apr →
dust216–13-0.0217%4 Apr →
nuke5–13-0.0625%1 Apr →
mirage13–40.0337%17 Mar →
ancient13–100.1226%17 Mar →
ancient9–13-0.0114%15 Mar →
mirage4–13-0.0913%15 Mar →
dust213–11-0.0123%13 Mar →
mirage6–130.0120%13 Mar →
dust213–3-0.0129%13 Mar →
inferno13–10.0732%12 Mar →
nuke8–13-0.0419%12 Mar →
ancient10–13-0.0020%12 Mar →
dust25–13-0.0610%10 Mar →
mirage4–13-0.0715%10 Mar →
nuke13–6-0.0321%9 Mar →
mirage13–80.0229%9 Mar →
dust213–50.0332%7 Mar →
mirage7–13-0.0517%5 Mar →
ancient5–130.0329%5 Mar →
dust22–13-0.0429%5 Mar →
inferno13–10.1024%4 Mar →
nuke9–13-0.0424%3 Mar →
inferno11–13-0.0026%3 Mar →
mirage9–13-0.0013%3 Mar →
dust213–50.0322%28 Feb →
mirage13–50.0127%28 Feb →
inferno10–130.0726%27 Feb →
inferno13–2-0.0120%27 Feb →
mirage13–10-0.0129%27 Feb →
dust213–100.1050%26 Feb →
dust213–2-0.0119%26 Feb →
overpass13–110.0429%22 Feb →
dust213–3-0.037%22 Feb →
dust213–60.1039%22 Feb →
ancient6–13-0.0510%22 Feb →
nuke12–120.0810%21 Feb →
dust216–12-0.0121%14 Feb →
mirage13–4-0.0145%14 Feb →
dust29–13-0.0330%14 Feb →
mirage13–11-0.0622%12 Feb →
mirage15–150.0115%12 Feb →
mirage13–7-0.0123%11 Feb →
dust213–60.0113%11 Feb →
dust213–7-0.0413%11 Feb →
mirage13–11-0.0225%31 Jan →
mirage9–13-0.0618%24 Jan →
dust210–13-0.0929%23 Jan →
inferno11–130.0611%16 Jan →
dust210–130.0232%16 Jan →
mirage5–130.0218%9 Jan →
ancient4–13-0.0521%9 Jan →
mirage13–100.0421%2 Jan →
inferno6–13-0.1019%2 Jan →
dust213–10-0.0518%30 Dec →
dust213–6-0.0714%30 Nov →
ancient13–11-0.0628%29 Nov →
nuke16–130.0320%29 Nov →
nuke13–160.0216%25 Nov →
dust210–13-0.0811%9 Nov →
nuke13–9-0.0423%9 Nov →
dust213–100.0417%26 Oct →
ancient13–11-0.0122%10 Oct →
dust26–130.0124%10 Oct →
mirage11–4-0.0018%6 Oct →
dust213–10-0.0221%2 Oct →
nuke13–9-0.0438%2 Oct →
office8–12-0.0625%1 Oct →
mirage13–90.0028%30 Sept →
dust215–15-0.0716%28 Sept →
dust213–50.0322%28 Sept →
mirage10–13-0.0620%27 Sept →
dust212–16-0.0424%26 Sept →
inferno5–13-0.0119%26 Sept →
dust213–8-0.0121%25 Sept →
mirage10–13-0.0611%25 Sept →
ancient13–7-0.0121%24 Sept →
overpass13–110.0212%21 Sept →
mirage13–9-0.028%21 Sept →
mirage7–13-0.0313%21 Sept →
nuke13–50.0116%19 Sept →
overpass2–13-0.0115%19 Sept →
mirage13–50.0720%17 Sept →
nuke16–12-0.0429%16 Sept →

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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