!NANA ☂⛅ — CS2 Stats

76561198318048407[U:1:357782679]

2,441Tracked matches43%Win rate2020Tracked since
5,944Hours in CS36Hrs last 2 wks
CSDB Rating4.8 Developing
Premier CS Rating13,997Blue band · top ~33.7% of ranked players (population est.)
CSDB Leaderboard#5451 of 7990 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG!NANA ☂⛅FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER13,997 · Blue bandcsdb.gg/stats

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Performance scores

Aim58
Positioning47
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY48493Last 10048%Win rateWWWWLLLLWW

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

Player DNA

Aim5.8
Aggression7.2
Utility6.2
Positioning4.7
Opening Duels3.6
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

iM

Plays most like iM 87% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

T-side openings. Opening success drops from 54% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 665ms 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
Positioning4.7
Utility6.2
Mechanics5.4
Opening Duels3.6
Win Impact2.8

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time658ms−20ms
first ⅓ avg 677ms → last ⅓ avg 658ms
Headshot accuracy16.9%+3.3%
first ⅓ avg 13.5% → last ⅓ avg 16.9%

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

0.14Best rating — mirage 13–11
131Biggest win — inferno
7Longest win streak
W4Current streak
127In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 62% over 13cacheWeakest map · 0% over 8
MapGradePlayedRecordWin rateAvg rating
nukeB27131448%-0.01
mirageB1910953%-0.00
ancientA159660%-0.01
infernoA138562%0.01
dust2C125742%-0.00
cacheD8080%-0.03
anubis42250%-0.01
train21150%0.01

Across the last 100 tracked matches.

Lifetime stats

57,784Lifetime kills
0.97K/D
3,610Matches
45.8%Match win rate
35.9%Headshot %
7.7%Shot accuracy
7,777MVPs
1,733Hours (in match)
4,811Bombs planted
877Bombs defused

Most-used weapons

Lifetime map wins

7,613nuke
5,822dust2
3,872inferno
1,179train
620vertigo
297cbble
294office
113lake

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

Faceit stats

Combat

12Matches
42%Win rate
0.68Avg K/D
65.3ADR
34%Headshot %

Clutches & streaks

20%1v1 clutch win
20%1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust2475%0.7011.8
Mirage250%0.8610.0
Anubis250%0.7613.0
Ancient10%0.459.0
Train10%0.336.0
Nuke10%1.3225.0

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.

17.2%Headshot accuracy
38.1%Accuracy (enemy spotted)
39.1%Spray accuracy
74.4%Counter-strafing
11.6°Preaim
665msReaction time
34.3%T opening success
54.2%CT opening success
0.63Enemies flashed / flash
7.6%Flash assists
9.17HE damage / grenade
10.30Flashes / 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 34.3406% — 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.

0% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
nuke13–11-0.0019%28 Aug
nuke13–90.0314%27 Aug
nuke13–70.007%26 Aug
mirage13–6-0.0212%25 Aug
cache10–130.0312%25 Aug
nuke14–160.0519%25 Aug
mirage7–13-0.088%25 Aug
nuke8–13-0.1031%25 Aug
dust213–9-0.0119%25 Aug
mirage13–6-0.0121%24 Aug
cache11–13-0.0316%23 Aug
anubis13–4-0.0713%23 Aug
dust213–5-0.0225%23 Aug
nuke7–13-0.0521%22 Aug
nuke14–16-0.0319%22 Aug
anubis8–130.0113%22 Aug
inferno9–130.0228%21 Aug
dust28–13-0.0517%21 Aug
ancient13–10-0.0418%21 Aug
nuke9–130.0727%21 Aug
ancient11–13-0.035%20 Aug
ancient13–100.0810%18 Aug
mirage13–110.0022%18 Aug
nuke10–130.0217%18 Aug
dust28–130.0814%18 Aug
train13–110.0221%18 Aug
train10–130.0116%18 Aug
inferno13–100.0117%17 Aug
nuke8–130.0214%17 Aug
cache8–13-0.0120%16 Aug
mirage5–13-0.0325%16 Aug
mirage7–13-0.045%16 Aug
ancient13–10-0.0211%16 Aug
ancient8–13-0.0016%16 Aug
mirage5–13-0.0150%16 Aug
nuke11–13-0.0028%16 Aug
ancient6–13-0.0514%13 Aug
nuke13–50.0229%13 Aug
inferno13–10.037%12 Aug
mirage13–90.0514%12 Aug
mirage16–140.029%12 Aug
inferno7–13-0.0113%11 Aug
inferno13–110.0011%11 Aug
nuke13–100.0317%10 Aug
ancient13–40.0116%10 Aug
dust27–130.0315%10 Aug
nuke16–13-0.0513%10 Aug
nuke1–8-0.0343%9 Aug
inferno13–90.0812%9 Aug
nuke2–130.0324%9 Aug
ancient8–120.019%9 Aug
inferno5–13-0.0322%8 Aug
dust215–15-0.0317%8 Aug
ancient13–110.0323%7 Aug
mirage13–110.1423%7 Aug
nuke13–110.018%7 Aug
ancient16–12-0.0314%7 Aug
inferno13–70.0210%6 Aug
dust213–90.0319%6 Aug
anubis13–6-0.0031%6 Aug
cache7–13-0.0513%5 Aug
nuke13–10-0.0634%5 Aug
inferno11–130.069%5 Aug
nuke4–13-0.0316%4 Aug
mirage13–80.0522%4 Aug
dust213–8-0.0427%4 Aug
nuke13–30.0218%4 Aug
inferno13–30.0213%4 Aug
mirage10–13-0.0511%3 Aug
mirage13–11-0.056%3 Aug
dust210–13-0.0010%2 Aug
ancient16–12-0.0217%2 Aug
nuke6–13-0.0821%2 Aug
mirage6–13-0.077%2 Aug
nuke13–110.0211%2 Aug
mirage16–14-0.039%1 Aug
inferno13–8-0.0022%1 Aug
mirage13–70.0016%1 Aug
cache5–13-0.0616%1 Aug
mirage7–130.0418%1 Aug
ancient13–30.025%1 Aug
nuke16–13-0.0113%1 Aug
cache11–13-0.079%1 Aug
anubis9–130.0411%31 Jul
ancient8–13-0.1013%31 Jul
dust215–15-0.0116%31 Jul
mirage7–13-0.0119%31 Jul
cache6–13-0.0019%31 Jul
inferno4–13-0.079%31 Jul
dust213–6-0.0214%30 Jul
ancient7–130.0122%30 Jul
nuke13–9-0.0310%30 Jul
inferno13–7-0.0210%29 Jul
mirage4–130.0114%29 Jul
cache9–13-0.0511%29 Jul
nuke10–13-0.0416%29 Jul
nuke7–13-0.0116%29 Jul
nuke13–9-0.0117%28 Jul
ancient13–11-0.056%27 Jul
dust215–150.0319%27 Jul

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 →