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ald — CS2 Stats

76561197996499605[U:1:36233877]✓ No bans

266Tracked matches66%Win rate2021Tracked since
CSDB Rating5.2 Developing
FaceitLevel 3 · 1,006 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGaldFACEITLevel 3 · 1,006 ELOSTANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim58
Positioning43
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY56–43–1Last 10056%Win rateLWLLLWWWWW

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

Player DNA

Aim5.8
Aggression5.4
Utility5.8
Positioning4.3
Opening Duels1.7
Clutch0.0

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 87% playstyle similarity

Most alike: opening-duel success, utility contribution.

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. 648ms 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

Aim5.8
Positioning4.3
Utility5.8
Mechanics7.8
Opening Duels1.7
Win Impact10.0

Composite 5.2/10 (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 rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time647ms−54ms
first ⅓ avg 702ms → last ⅓ avg 647ms
Headshot accuracy15.8%−1.0%
first ⅓ avg 16.9% → last ⅓ avg 15.8%

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

0.23Best rating — train 13–5
13–1Biggest win — nuke
8Longest win streak
11–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

trainBest map · 88% over 8infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB2714–1352%-0.01
dust2A2012–860%0.01
ancientS1712–571%-0.00
nukeB115–645%0.01
trainS87–188%0.05
overpassC73–443%-0.05
infernoD71–614%-0.04
anubis—22–0100%0.00
cache—10–10%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

30Matches
40%Win rate
0.63Avg K/D
49.5ADR
49%Headshot %

Clutches & streaks

12%1v1 clutch win
8%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2743%0.578.9
Ancient650%0.529.8
Inferno650%0.8511.2
Mirage425%0.334.5
Overpass250%0.688.5
Nuke10%0.142.0
Train10%0.578.0

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.

15.5%Headshot accuracy
35.3%Accuracy (enemy spotted)
37.3%Spray accuracy
85.1%Counter-strafing
12.4°Preaim
648msReaction time
30.1%T opening success
43.4%CT opening success
0.58Enemies flashed / flash
6.1%Flash assists
7.91HE damage / grenade
10.25Flashes / 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 12.4127° — above the 12° mark we flag

    Aim Training →
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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0211%8 Aug →
anubis13–110.0218%8 Aug →
nuke5–13-0.0023%8 Aug →
mirage4–13-0.059%1 Aug →
cache1–40.045%1 Aug →
dust213–50.0412%1 Aug →
nuke13–100.0223%7 Mar →
dust213–40.0512%14 Feb →
anubis13–6-0.0214%31 Jan →
mirage13–70.0720%30 Dec →
overpass10–13-0.0413%27 Dec →
dust24–13-0.0221%27 Dec →
mirage15–150.0412%27 Dec →
dust213–70.0315%26 Dec →
nuke5–13-0.0311%26 Dec →
mirage9–13-0.0519%26 Dec →
dust213–7-0.028%24 Dec →
ancient13–30.1218%24 Dec →
mirage13–3-0.0117%22 Dec →
ancient13–9-0.0015%22 Dec →
mirage13–60.0224%22 Dec →
mirage13–80.0215%22 Dec →
ancient13–110.0418%22 Dec →
nuke13–3-0.0126%21 Dec →
ancient6–13-0.0410%21 Dec →
mirage9–13-0.0611%20 Dec →
train13–40.0516%20 Dec →
dust213–40.1614%19 Dec →
nuke13–10.0511%19 Dec →
nuke13–60.1115%16 Dec →
ancient13–30.0515%16 Dec →
mirage13–60.0429%16 Dec →
dust213–70.0522%16 Dec →
mirage11–13-0.0117%14 Dec →
inferno6–13-0.104%13 Dec →
train13–110.0516%13 Dec →
mirage13–50.0916%13 Dec →
ancient13–110.0218%12 Dec →
dust213–100.0526%12 Dec →
overpass10–13-0.0315%6 Dec →
dust213–70.0925%6 Dec →
nuke13–60.0314%6 Dec →
ancient11–13-0.0217%6 Dec →
mirage6–13-0.057%4 Dec →
dust27–130.0429%4 Dec →
overpass13–9-0.0412%30 Nov →
mirage13–110.0417%30 Nov →
mirage13–110.0519%30 Nov →
ancient13–5-0.0113%29 Nov →
mirage10–13-0.0617%29 Nov →
dust213–9-0.0720%29 Nov →
mirage13–8-0.0019%28 Nov →
dust211–130.0623%28 Nov →
nuke7–13-0.0517%27 Nov →
dust213–30.0116%27 Nov →
ancient8–13-0.0114%27 Nov →
mirage10–13-0.0319%27 Nov →
overpass13–11-0.0618%26 Nov →
ancient6–13-0.0311%23 Nov →
mirage10–7-0.014%23 Nov →
inferno10–13-0.0710%23 Nov →
train13–90.0012%22 Nov →
dust211–13-0.0517%22 Nov →
inferno10–13-0.0131%21 Nov →
ancient13–110.0311%18 Nov →
train9–13-0.0823%18 Nov →
ancient13–9-0.0410%18 Nov →
mirage10–13-0.0521%15 Nov →
ancient13–8-0.0723%15 Nov →
ancient13–10-0.0213%14 Nov →
mirage13–80.035%14 Nov →
dust213–10-0.0019%14 Nov →
mirage16–13-0.0316%14 Nov →
mirage13–30.0021%13 Nov →
inferno6–13-0.0312%13 Nov →
nuke14–16-0.018%9 Nov →
mirage12–16-0.0318%8 Nov →
mirage4–13-0.0719%8 Nov →
overpass4–13-0.0923%8 Nov →
dust210–13-0.0720%8 Nov →
mirage13–110.0316%8 Nov →
train13–7-0.0229%8 Nov →
train13–50.2315%8 Nov →
nuke7–130.0114%4 Nov →
overpass13–11-0.0120%4 Nov →
inferno13–90.0120%2 Nov →
dust21–13-0.0217%2 Nov →
dust210–13-0.0313%2 Nov →
mirage10–13-0.0418%27 Oct →
inferno3–130.0117%27 Oct →
ancient13–110.0212%26 Oct →
train13–80.1120%26 Oct →
ancient6–13-0.0510%25 Oct →
train13–40.0816%25 Oct →
inferno7–13-0.0615%25 Oct →
ancient13–8-0.0016%25 Oct →
nuke8–13-0.0117%22 Oct →
overpass9–13-0.0517%21 Oct →
mirage9–13-0.0519%20 Oct →
dust213–9-0.0518%20 Oct →

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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