🆂🅷🅸🆃RaxteR — CS2 Stats

76561197987641699[U:1:27375971]✓ No bans

2,303Tracked matches45%Win rate2021Tracked since
2,072Hours in CS7Hrs last 2 wks
CSDB Rating4.3 Developing
Premier CS Rating16,788Purple band · top ~21.3% of ranked players (population est.)
CSDB Leaderboard#12573 of 21703 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPink band medianvs Pink band
Headshot rate50.7%48.1%above
Shot accuracy11.7%12.9%1.2% short
Kill/death ratio1.011.080.07 short
Match win rate49.7%46.5%above

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GG🆂🅷🅸🆃RaxteRPREMIER16,788 · Purple bandcsdb.gg/stats

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Performance scores

Aim46
Positioning42
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY36577Last 10036%Win rateLLLWWWWTLL

Last 10 vs previous 10: +10pp win rate · -0.02 avg rating

Player DNA

Aim4.6
Aggression4.3
Utility6.2
Positioning4.2
Opening Duels1.1
Clutch4.4

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 84% 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 51% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 649ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.6
Positioning4.2
Utility6.2
Mechanics4.0
Opening Duels2.6
Win Impact3.3

Composite 4.3/10 (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-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time660ms+5ms
first ⅓ avg 656ms → last ⅓ avg 660ms
Headshot accuracy22.5%−6.6%
first ⅓ avg 29.0% → last ⅓ avg 22.5%

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 13–7
132Biggest win — mirage
4Longest win streak
L3Current streak
67In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 60% over 5infernoWeakest map · 20% over 25
MapGradePlayedRecordWin rateAvg rating
ancientD2791833%-0.01
infernoD2552020%-0.01
nukeB157847%-0.02
anubisB137654%0.00
overpassD72529%-0.03
mirageA53260%-0.02
dust24040%-0.03
cache32167%-0.03
train110100%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 25). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

54,107Lifetime kills
1.01K/D
2,835Matches
49.7%Match win rate · Top 25% of tracked players
50.7%Headshot % · Top 50% of tracked players
11.7%Shot accuracy
7,347MVPs
1,245Hours (in match)
2,963Bombs planted
782Bombs defused

Most-used weapons

AK-4717,577
AWP5,705
MP91,454
MAC-101,113
P250870

Lifetime map wins

6,392train
5,479inferno
4,475nuke
2,421dust2
1,310vertigo
174office
80cbble
30italy

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

Faceit stats

Combat

364Matches
52%Win rate
1.10Avg K/D
80.9ADR
51%Headshot %

Clutches & streaks

42%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient5155%1.1215.8
Anubis3751%1.1716.2
Inferno3462%1.1316.4
Nuke3355%1.1114.3
Mirage1839%0.9212.0
Dust21527%0.9214.7
Vertigo450%1.0014.0
Overpass333%0.7311.7

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.

22.2%Headshot accuracy
30.6%Accuracy (enemy spotted)
29.3%Spray accuracy
67.9%Counter-strafing
10.3°Preaim
649msReaction time
18.0%T opening success
50.9%CT opening success
0.63Enemies flashed / flash
6.5%Flash assists
8.88HE damage / grenade
14.02Flashes / 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 17.9903% — 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.

20% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno1–13-0.048%24 Aug
nuke9–13-0.0527%24 Aug
ancient1–13-0.0724%23 Aug
ancient13–4-0.0141%22 Aug
anubis13–7-0.0121%22 Aug
ancient13–6-0.0321%22 Aug
inferno13–70.0924%22 Aug
ancient15–150.0123%20 Aug
inferno3–13-0.0730%5 Aug
ancient3–13-0.0912%5 Aug
inferno1–13-0.0535%1 Aug
inferno9–130.0625%1 Aug
mirage13–16-0.0223%21 Jul
nuke11–130.0220%21 Jul
ancient7–13-0.0329%20 Jul
anubis2–13-0.0517%20 Jul
cache13–110.0123%20 Jul
nuke13–9-0.0127%20 Jul
anubis13–10-0.0124%20 Jul
inferno9–13-0.0112%15 Jul
nuke13–7-0.0716%15 Jul
anubis6–13-0.0020%15 Jul
mirage13–70.0218%14 Jul
ancient6–13-0.0811%14 Jul
ancient13–30.0215%14 Jul
inferno3–13-0.0816%14 Jul
cache13–10-0.1021%14 Jul
dust25–13-0.1023%14 Jul
ancient13–11-0.0330%14 Jul
mirage13–20.0322%14 Jul
mirage13–5-0.0414%14 Jul
dust211–13-0.0134%13 Jul
ancient16–140.0533%13 Jul
inferno8–13-0.0524%13 Jul
nuke11–13-0.0321%13 Jul
nuke3–13-0.0320%13 Jul
anubis13–110.0718%13 Jul
ancient4–13-0.0219%13 Jul
inferno13–10-0.0321%13 Jul
inferno5–13-0.0419%12 Jul
anubis16–130.0119%12 Jul
cache6–130.0032%9 Jul
inferno3–13-0.0723%7 Jul
nuke13–110.0525%6 Jul
ancient8–130.0317%6 Jul
inferno5–13-0.0522%6 Jul
ancient5–13-0.0610%6 Jul
nuke11–5-0.0113%6 Jul
train13–30.0321%3 Jul
overpass8–8-0.1332%3 Jul
nuke8–8-0.089%3 Jul
inferno8–8-0.0342%3 Jul
ancient13–70.1232%2 Jul
overpass11–130.0237%2 Jul
inferno15–150.0426%25 Apr
inferno15–150.0628%25 Apr
anubis7–13-0.0123%25 Apr
ancient13–80.0631%25 Apr
nuke11–130.0316%25 Apr
overpass13–7-0.0124%25 Apr
inferno13–90.0229%25 Apr
inferno13–90.0226%22 Apr
nuke1–13-0.0414%22 Apr
overpass8–13-0.0722%21 Apr
inferno9–13-0.079%21 Apr
mirage6–13-0.1024%21 Apr
nuke13–9-0.0128%21 Apr
ancient0–13-0.0911%21 Apr
anubis4–130.0131%21 Apr
ancient10–130.0437%17 Apr
anubis13–110.0431%17 Apr
inferno7–13-0.0229%17 Apr
anubis3–13-0.096%10 Apr
dust25–13-0.0430%10 Apr
overpass8–13-0.0231%10 Apr
inferno7–130.0124%10 Apr
nuke13–60.0168%10 Apr
anubis13–80.0319%5 Apr
dust26–130.0524%5 Apr
ancient9–130.0830%5 Apr
inferno13–4-0.0538%5 Apr
ancient13–60.0435%5 Apr
ancient9–13-0.0019%4 Apr
inferno7–13-0.0129%1 Apr
overpass16–120.0223%1 Apr
ancient13–30.0727%1 Apr
anubis10–130.0541%1 Apr
inferno11–130.0230%1 Apr
ancient7–13-0.0425%1 Apr
ancient4–13-0.1320%13 Mar
inferno4–130.0345%13 Mar
overpass5–13-0.0130%13 Mar
ancient15–15-0.0425%12 Mar
ancient8–130.0224%20 Feb
inferno14–160.0130%16 Feb
ancient8–130.0226%16 Feb
ancient1–13-0.1017%15 Feb
nuke6–13-0.0526%14 Feb
anubis13–8-0.0139%14 Feb
nuke13–60.0538%14 Feb

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 →