toNNNNz'aKa-47 ✭ADA✭

toNNNNz'aKa-47 ✭ADA✭ — CS2 Stats

BR76561198040621937[U:1:80356209]Steam profile ↗

2,140Tracked matches48%Win rate2020Tracked since
CSDB Rating4.9 Developing
Premier CS Rating16,702Purple band · top ~21.6% of ranked players (population est.)
CSDB Leaderboard#24061 of 43944 tracked
FaceitLevel 7 · 1,648 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGtoNNNNz'aKa-47 ✭ADA✭FACEITLevel 7 · 1,648 ELOSTANDINGTop 42.3% of rankedPREMIER16,702 · Purple bandcsdb.gg/stats

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Performance scores

Aim53
Positioning37
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY47503Last 10047%Win rateWWLWWTLLWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

Aim5.3
Aggression3.1
Utility6.9
Positioning3.7
Opening Duels0.0
Clutch3.0

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 76% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

T-side openings. Opening success drops from 43% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 601ms 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

Aim5.3
Positioning3.7
Utility6.9
Mechanics6.1
Opening Duels1.6
Win Impact4.4

Composite 4.9/10 (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-0.02−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time597ms−122ms
first ⅓ avg 719ms → last ⅓ avg 597ms
Headshot accuracy16.6%−3.3%
first ⅓ avg 20.0% → last ⅓ avg 16.6%

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

0.11Best rating — mirage 13–10
130Biggest win — mirage
3Longest win streak
W2Current streak
93In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 71% over 7mirageWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
infernoB26141254%-0.00
dust2A1811761%0.02
mirageD1641225%-0.00
overpassA116555%-0.02
ancientD93633%-0.00
anubisD72529%-0.01
nukeS75271%0.02
vertigo31233%-0.07
cache21150%-0.01
train1010%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,524Matches
50%Win rate
0.91Avg K/D
72.0ADR
45%Headshot %

Clutches & streaks

35%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno34550%0.9514.9
Dust229451%0.9514.7
Mirage20851%0.9814.7
Ancient19949%0.9214.2
Anubis19151%0.9114.5
Nuke9048%0.8713.2
Overpass7146%0.8814.3
Train4335%0.9415.6

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.

16.7%Headshot accuracy
32.1%Accuracy (enemy spotted)
34.9%Spray accuracy
77.3%Counter-strafing
11.8°Preaim
601msReaction time
17.5%T opening success
42.7%CT opening success
0.63Enemies flashed / flash
6.2%Flash assists
9.55HE damage / grenade
16.17Flashes / 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 17.5167% — below the 40% mark we flag

Spend your practice time on Mirage

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–9-0.0218%28 Aug
inferno13–7-0.064%26 Aug
inferno8–13-0.0321%26 Aug
cache13–9-0.0413%23 Aug
mirage13–100.1114%23 Aug
ancient15–150.025%23 Aug
dust23–13-0.0915%20 Aug
nuke8–13-0.015%19 Aug
inferno13–11-0.0312%17 Aug
dust213–80.0422%16 Aug
vertigo5–13-0.0914%15 Aug
vertigo13–11-0.0622%11 Aug
inferno7–13-0.0418%8 Aug
inferno16–13-0.0121%16 Jul
mirage7–13-0.0316%13 Jul
mirage4–13-0.0123%13 Jul
cache8–130.0314%13 Jul
ancient10–13-0.0417%8 Jul
mirage9–130.0919%6 Jul
inferno13–11-0.0316%30 Jun
inferno6–13-0.0016%22 Jun
ancient13–100.0326%20 Jun
nuke13–7-0.0814%11 Jun
anubis10–13-0.0020%3 Jun
dust213–10-0.0134%31 May
mirage13–80.0024%19 May
overpass6–13-0.088%19 May
ancient13–10-0.0125%17 May
vertigo7–13-0.046%16 May
mirage3–13-0.0815%15 May
anubis16–140.0421%14 May
overpass5–13-0.048%12 May
overpass13–80.0822%11 May
overpass13–20.0113%11 May
inferno8–130.0017%9 May
dust26–130.0019%9 May
anubis8–13-0.0021%1 May
dust213–11-0.0431%25 Apr
anubis5–13-0.047%30 Mar
inferno12–12-0.0426%28 Mar
dust27–13-0.0121%17 Mar
mirage13–100.0011%6 Mar
mirage13–00.1023%26 Feb
ancient6–13-0.0319%26 Feb
inferno13–100.0013%24 Feb
mirage11–13-0.0612%20 Feb
overpass13–6-0.0417%20 Feb
mirage8–130.0119%19 Feb
nuke2–130.0716%14 Feb
anubis8–130.0020%12 Feb
ancient5–130.0531%11 Feb
ancient8–30.0412%11 Feb
nuke13–40.0819%26 Jan
anubis10–13-0.0418%25 Jan
nuke13–90.0624%24 Jan
inferno13–6-0.0022%22 Jan
dust213–40.1021%17 Jan
mirage3–130.0023%16 Jan
inferno13–70.0629%16 Jan
inferno4–130.0126%12 Jan
inferno3–13-0.0722%12 Jan
dust213–40.0618%11 Jan
inferno1–13-0.0135%11 Jan
mirage7–130.0215%11 Jan
mirage12–16-0.0215%10 Jan
dust213–30.0722%17 Dec
inferno13–110.0214%9 Dec
dust213–70.0319%6 Dec
inferno12–120.0827%23 Nov
mirage10–13-0.0714%12 Nov
dust28–130.0718%11 Nov
inferno13–90.0624%11 Nov
train13–16-0.0417%27 Oct
dust216–120.0322%27 Oct
inferno11–130.029%14 Oct
dust213–10.0634%11 Oct
overpass5–130.0317%9 Oct
dust24–13-0.0033%9 Oct
overpass13–90.0021%7 Oct
dust213–60.0421%4 Oct
dust210–130.0521%3 Oct
nuke13–5-0.0321%3 Oct
inferno5–13-0.0126%1 Oct
inferno13–100.0319%30 Sept
overpass13–160.0316%26 Sept
overpass13–5-0.0617%23 Sept
inferno13–30.0220%22 Sept
ancient8–13-0.0621%15 Sept
inferno13–11-0.0017%15 Sept
nuke16–140.0126%14 Sept
mirage8–13-0.0518%14 Sept
dust213–90.0321%10 Sept
inferno10–13-0.0112%8 Sept
overpass13–11-0.0017%6 Sept
overpass3–13-0.1018%5 Sept
mirage11–13-0.086%4 Sept
inferno13–9-0.0219%4 Sept
ancient7–13-0.0330%3 Sept
inferno13–6-0.0417%2 Sept
dust27–13-0.0721%2 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 →