Raxen — CS2 Stats

76561197993161780[U:1:32896052]

1,448Tracked matches66%Win rate2020Tracked since
CSDB Rating6.3 SolidSupport
Premier CS Rating26,046Top 10% of 175,286 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#11599 of 222556 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Sep 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,448 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 36 days played since 25 Feb 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 26,046 -1,308 25 Feb7 Sept · 25 days played
21,62927,354peak 27,35425 Feb7 Sept
27,354Peak Premier in tracked matches
36Days played since 2026-02-25

Premier CS Rating

  • 1,308 below peak (27,354)
  • Next: Gold band at 30,000 3,954 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-07
  • Pink band first seen 2026-09-07

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGRaxenFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER26,046 · Red bandcsdb.gg/stats

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Performance scores

Aim58
Positioning57
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY48493Last 10048%Win rateWWLWLWLLLW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −5.7pp headshot accuracy · +14ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 605ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 596ms

Last 20

  • 1271 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 589ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: SupportUtility contribution stands above the rest of this profile (+1.6 against its own average).

Aim5.8
Utility6.9
Positioning5.7
Opening Duels4.8
Clutch3.6

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 75% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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 59% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 585ms 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
Positioning5.7
Utility6.9
Mechanics4.9
Opening Duels3.9
Win Impact10.0

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time591ms+11ms
first ⅓ avg 580ms → last ⅓ avg 591ms
Headshot accuracy19.3%+0.4%
first ⅓ avg 19.0% → last ⅓ avg 19.3%

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.

Personal bests

0.12Best match rating · 13–6 · nuke, 4 Mar
36%Best headshot accuracy · 2–13 · mirage, 26 Feb
422msFastest reaction time · 7–13 · dust2, 8 Mar
13–0Biggest win · dust2, 16 Mar

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
512In matches decided by ≤2 rounds
16Overtime games

Map breakdown

infernoBest map · 76% over 17anubisWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B27141352%0.02
mirageC2281436%0.01
infernoS1713476%0.03
ancientC125742%-0.00
anubisD113827%-0.01
overpassD62433%-0.02
nuke42250%0.01
cache110100%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,649Matches
52%Win rate
1.16Avg K/D
79.5ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust210262%1.1815.3
Mirage10150%1.0616.2
Anubis5947%1.0815.2
Inferno5654%1.0314.9
Ancient5145%1.0013.1
Nuke2138%0.8513.4
Overpass1242%0.9312.8
Train20%0.6411.5

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.

18.8%Headshot accuracy
32.1%Accuracy (enemy spotted)
35.7%Spray accuracy
71.9%Counter-strafing
10.5°Preaim
585msReaction time
31.8%T opening success
59.0%CT opening success
0.63Enemies flashed / flash
4.8%Flash assists
8.08HE damage / grenade
14.87Flashes / 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 31.8288% — below the 40% mark we flag

Spend your practice time on Anubis

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–9-0.0114%27 Apr
dust216–130.0129%26 Apr
anubis11–13-0.035%25 Apr
mirage13–90.0217%24 Apr
ancient4–13-0.0116%24 Apr
ancient13–5-0.0215%22 Apr
anubis14–160.0015%21 Apr
nuke7–13-0.044%18 Apr
overpass13–16-0.0118%17 Apr
dust213–7-0.0112%17 Apr
dust213–70.0023%17 Apr
mirage13–80.0426%17 Apr
anubis7–130.0120%17 Apr
ancient13–11-0.0214%17 Apr
mirage13–50.0117%17 Apr
anubis11–13-0.0519%14 Apr
anubis13–50.0928%12 Apr
dust213–6-0.0312%12 Apr
mirage15–150.0525%12 Apr
ancient13–80.0417%12 Apr
mirage13–11-0.0121%12 Apr
dust213–70.0524%12 Apr
ancient13–80.0326%11 Apr
inferno13–90.0319%10 Apr
dust214–160.0524%10 Apr
mirage13–20.1121%10 Apr
dust213–100.0520%10 Apr
anubis13–50.0017%10 Apr
ancient10–13-0.0422%10 Apr
mirage7–130.0321%10 Apr
dust213–40.0827%8 Apr
mirage11–130.0026%8 Apr
mirage14–160.0424%8 Apr
overpass5–13-0.0919%4 Apr
mirage9–13-0.0526%2 Apr
dust23–13-0.0428%1 Apr
inferno13–20.0622%1 Apr
anubis13–80.0211%31 Mar
inferno13–9-0.0220%31 Mar
dust215–150.0216%31 Mar
dust213–50.0222%29 Mar
inferno19–160.0714%28 Mar
dust29–130.0729%27 Mar
ancient11–13-0.018%27 Mar
ancient6–13-0.0326%25 Mar
mirage6–13-0.0216%20 Mar
dust213–30.0527%20 Mar
dust24–13-0.0721%20 Mar
inferno13–10.0218%20 Mar
inferno16–130.0111%16 Mar
mirage13–50.0117%16 Mar
dust213–00.1020%16 Mar
ancient13–20.1020%16 Mar
dust210–130.0619%16 Mar
inferno14–160.0513%13 Mar
dust216–130.0827%13 Mar
mirage4–13-0.0618%13 Mar
dust213–30.0221%13 Mar
overpass15–15-0.0011%12 Mar
nuke16–12-0.0320%12 Mar
mirage11–130.018%11 Mar
inferno13–8-0.0122%10 Mar
dust27–13-0.0117%10 Mar
dust213–80.0416%10 Mar
inferno4–130.0120%8 Mar
dust27–13-0.0117%8 Mar
dust25–130.0323%8 Mar
ancient8–13-0.0115%5 Mar
nuke13–160.0119%5 Mar
mirage13–100.0412%5 Mar
inferno11–5-0.0318%5 Mar
mirage6–130.0519%5 Mar
inferno16–120.1118%4 Mar
overpass14–160.0318%4 Mar
inferno6–13-0.016%4 Mar
nuke13–60.1223%4 Mar
dust21–13-0.079%3 Mar
mirage13–70.0221%3 Mar
inferno13–110.0433%3 Mar
ancient8–13-0.0422%3 Mar
dust29–13-0.0119%3 Mar
inferno9–130.0628%2 Mar
inferno13–80.0222%2 Mar
anubis9–13-0.0613%28 Feb
inferno13–10-0.0116%28 Feb
dust29–13-0.0227%28 Feb
mirage6–13-0.056%28 Feb
anubis7–130.0018%28 Feb
dust213–100.0322%28 Feb
overpass13–11-0.0519%27 Feb
ancient8–13-0.0317%27 Feb
mirage8–13-0.0017%27 Feb
mirage11–13-0.0012%27 Feb
anubis6–13-0.0718%26 Feb
mirage2–13-0.0636%26 Feb
mirage1–13-0.0231%26 Feb
anubis11–13-0.0218%26 Feb
inferno13–110.0317%25 Feb
overpass13–20.0118%25 Feb
dust29–13-0.0119%25 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 →