@Zanda_CS on X — CS2 Stats

76561198306361792[U:1:346096064]✓ No bans

588Tracked matches47%Win rate2020Tracked since
972Hours in CS
CSDB Rating4.2 DevelopingPassive Rifler
Premier CS Rating14,585Blue band · top ~30.6% of ranked players (population est.)
CSDB Leaderboard#13939 of 21334 tracked
Ladder ranks via Leetify

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CSDB.GG@Zanda_CS on XPREMIER14,585 · Blue bandcsdb.gg/stats

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Performance scores

Aim60
Positioning38
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY50491Last 10050%Win rateLWWWWWWLLL

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

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.0
Aggression1.4
Utility4.7
Positioning3.8
Opening Duels0.0
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 75% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 579ms 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

Aim6.0
Positioning3.8
Utility4.7
Mechanics4.5
Opening Duels0.5
Win Impact3.9

Composite 4.2/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time575ms−8ms
first ⅓ avg 583ms → last ⅓ avg 575ms
Headshot accuracy18.4%+2.9%
first ⅓ avg 15.5% → last ⅓ avg 18.4%

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

0.15Best rating — cache 13–8
132Biggest win — anubis
6Longest win streak
67In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 60% over 5infernoWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A28161257%-0.01
nukeC2191243%-0.02
ancientB20101050%-0.01
anubisB126650%-0.01
mirageA53260%-0.03
cacheA53260%0.04
infernoC52340%-0.00
overpass31233%-0.01
vertigo1010%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,375Lifetime kills
0.78K/D
2,193Matches
42.6%Match win rate
37.7%Headshot %
14.6%Shot accuracy · Top 50% of tracked players
4,053MVPs
972Hours (in match)
2,341Bombs planted
954Bombs defused

Most-used weapons

Lifetime map wins

5,200dust2
3,157inferno
1,625nuke
1,029vertigo
829train
244cbble
36lake
18safehouse

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

Faceit stats

Combat

60Matches
45%Win rate
0.66Avg K/D
68.7ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
50%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno250%0.7813.5
Mirage1100%0.829.0

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.

18.1%Headshot accuracy
32.7%Accuracy (enemy spotted)
37.9%Spray accuracy
70.4%Counter-strafing
10.3°Preaim
579msReaction time
20.6%T opening success
34.1%CT opening success
0.56Enemies flashed / flash
8.2%Flash assists
1.65HE damage / grenade
6.51Flashes / 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 20.5617% — 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke11–13-0.0524%26 Aug
mirage13–5-0.0421%26 Aug
anubis13–2-0.0319%25 Aug
mirage13–8-0.0214%25 Aug
dust213–5-0.0111%25 Aug
ancient13–8-0.004%25 Aug
anubis13–70.0114%25 Aug
cache6–110.0417%24 Aug
inferno8–13-0.0724%24 Aug
vertigo1–13-0.0319%23 Aug
nuke8–130.0125%23 Aug
mirage9–13-0.077%23 Aug
dust210–13-0.0119%18 Aug
ancient9–13-0.0812%17 Aug
dust211–13-0.0616%15 Aug
inferno11–13-0.0016%13 Aug
nuke13–30.0112%13 Aug
dust216–14-0.0416%10 Aug
anubis13–8-0.0414%10 Aug
nuke8–13-0.0118%9 Aug
nuke6–13-0.0229%9 Aug
dust25–13-0.0332%9 Aug
dust213–10-0.0121%8 Aug
dust216–14-0.0127%8 Aug
dust29–13-0.0514%7 Aug
anubis13–60.0425%7 Aug
ancient13–80.0623%7 Aug
nuke7–13-0.0118%7 Aug
dust28–13-0.0217%6 Aug
ancient13–100.0213%6 Aug
dust216–14-0.0218%6 Aug
dust213–8-0.0033%5 Aug
dust213–90.0215%5 Aug
ancient10–130.0130%4 Aug
ancient16–130.0210%3 Aug
dust213–2-0.0217%3 Aug
inferno13–80.0718%3 Aug
ancient8–13-0.0216%2 Aug
dust23–13-0.0029%2 Aug
dust213–11-0.0112%1 Aug
ancient7–13-0.1010%1 Aug
mirage13–8-0.0117%1 Aug
anubis3–13-0.085%1 Aug
dust213–70.0221%31 Jul
cache13–8-0.0112%30 Jul
anubis13–16-0.0614%30 Jul
ancient13–70.0416%29 Jul
ancient6–13-0.0523%26 Jul
ancient13–90.0619%26 Jul
mirage14–160.0022%25 Jul
anubis4–13-0.0214%25 Jul
dust25–13-0.0413%25 Jul
nuke13–80.0532%25 Jul
nuke13–100.1213%19 Jul
ancient10–13-0.056%19 Jul
nuke8–13-0.0515%19 Jul
nuke10–13-0.078%19 Jul
ancient11–13-0.0623%18 Jul
dust28–13-0.0413%18 Jul
dust213–60.0220%17 Jul
nuke13–10-0.0720%17 Jul
anubis13–80.0218%17 Jul
dust213–90.0313%17 Jul
nuke13–100.0113%14 Jul
dust28–13-0.0124%14 Jul
nuke0–2-0.010%14 Jul
anubis6–13-0.0110%12 Jul
nuke13–10-0.0018%12 Jul
ancient7–130.0014%12 Jul
nuke13–11-0.0216%12 Jul
anubis3–130.0113%12 Jul
nuke5–13-0.0714%12 Jul
ancient13–20.0219%12 Jul
dust213–2-0.0420%12 Jul
ancient13–11-0.0415%12 Jul
dust213–6-0.0025%12 Jul
inferno7–13-0.0219%12 Jul
cache5–130.0017%12 Jul
ancient10–13-0.0514%12 Jul
inferno13–100.0118%11 Jul
anubis13–70.0013%11 Jul
cache13–80.1512%11 Jul
nuke11–13-0.0714%9 Jul
dust213–60.0021%9 Jul
nuke9–13-0.0814%9 Jul
cache13–7-0.017%7 Jul
ancient13–70.0615%7 Jul
nuke13–7-0.029%5 Jul
nuke16–13-0.0520%3 Jul
dust213–90.0914%3 Jul
overpass15–15-0.0115%3 Jul
dust21–13-0.059%3 Jul
overpass13–90.0212%2 Jul
ancient10–13-0.0216%1 Jul
nuke7–13-0.0618%30 Jun
anubis6–13-0.0013%29 Jun
dust28–13-0.0523%29 Jun
overpass12–16-0.0614%28 Jun
ancient13–100.0118%28 Jun
dust212–16-0.0114%28 Jun

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 →