magician

magician — CS2 Stats

76561198839768862[U:1:879503134]Steam profile ↗✓ No bans

2,304Tracked matches50%Win rate2020Tracked since
CSDB Rating6.1 SolidPassive Rifler
Premier CS Rating22,874Top 50% of 819 CSDB-tracked playersPink band · top ~5.3% of ranked players (population est.)
CSDB Leaderboard#5164 of 19324 tracked
Ladder ranks via Leetify

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CSDB.GGmagicianPREMIER22,874 · Pink bandcsdb.gg/stats

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Performance scores

Aim79
Positioning46
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY47521Last 10047%Win rateWLLWLWLLWW

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

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

Aim7.9
Aggression4.0
Utility5.8
Positioning4.6
Opening Duels0.7
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.

Your pro match

NiKo

Plays most like NiKo 89% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 47% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 590ms 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

Aim7.9
Positioning4.6
Utility5.8
Mechanics7.1
Opening Duels2.2
Win Impact5.0

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time595ms−21ms
first ⅓ avg 616ms → last ⅓ avg 595ms
Headshot accuracy26.3%+4.5%
first ⅓ avg 21.8% → last ⅓ avg 26.3%

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.

Highlights

0.09Best rating — mirage 11–13
131Biggest win — dust2
5Longest win streak
910In matches decided by ≤2 rounds
18Overtime games

Map breakdown

dust2Best map · 67% over 30anubisWeakest map · 14% over 14
MapGradePlayedRecordWin rateAvg rating
dust2S30201067%0.01
mirageC2391439%0.03
ancientC167944%-0.00
anubisD1421214%-0.01
infernoA127558%0.00
cache21150%-0.01
overpass21150%0.01
train1010%0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

6,940Matches
51%Win rate
1.15Avg K/D
84.7ADR
51%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage63453%1.2017.8
Dust236454%1.1618.0
Ancient28847%1.0716.5
Anubis24749%1.0816.6
Inferno19150%1.1717.2
Nuke5443%1.0717.2
Overpass5248%1.0516.3
Train2938%1.0017.3

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.

26.5%Headshot accuracy
33.7%Accuracy (enemy spotted)
35.6%Spray accuracy
82.2%Counter-strafing
9.7°Preaim
590msReaction time
17.9%T opening success
47.3%CT opening success
0.57Enemies flashed / flash
8.0%Flash assists
6.94HE damage / grenade
16.58Flashes / 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 17.942% — 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.

14% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–9-0.0142%7 Aug
cache11–130.0120%18 Jul
mirage14–160.0118%18 Jul
mirage13–60.0324%15 Jul
anubis8–13-0.0315%3 Jul
mirage13–70.0832%2 Jul
ancient11–13-0.0141%22 Jun
anubis13–16-0.0420%6 Jun
dust213–9-0.0024%6 Jun
anubis22–190.0330%3 Jun
dust24–13-0.0032%31 May
dust213–9-0.0429%30 May
dust213–6-0.115%27 May
dust213–60.0522%27 May
dust213–90.0431%27 May
inferno13–20.0419%25 May
inferno16–19-0.0329%23 May
ancient13–110.0223%21 May
mirage13–160.0729%8 May
anubis13–16-0.0223%7 May
dust213–110.0730%29 Apr
mirage6–13-0.0214%29 Apr
anubis5–13-0.0335%27 Apr
cache13–10-0.0319%23 Apr
mirage10–130.0425%22 Apr
anubis10–130.0231%22 Apr
inferno13–16-0.0733%21 Apr
inferno13–4-0.0131%21 Apr
mirage13–60.0421%14 Apr
ancient8–130.0341%12 Apr
ancient13–100.0318%11 Apr
dust29–130.0438%10 Apr
dust26–130.0422%9 Apr
dust213–70.0525%7 Apr
ancient13–5-0.0536%4 Apr
mirage13–110.0119%4 Apr
anubis7–13-0.0232%1 Apr
ancient8–130.0225%30 Mar
ancient13–7-0.0617%24 Mar
anubis9–13-0.0223%24 Mar
ancient11–130.0329%24 Mar
mirage7–130.0026%24 Mar
mirage16–140.0620%23 Mar
mirage13–90.0823%23 Mar
dust212–16-0.0120%20 Mar
dust213–11-0.0214%20 Mar
dust213–110.0121%20 Mar
mirage13–80.0823%19 Mar
dust213–30.0833%19 Mar
mirage9–130.0220%19 Mar
inferno13–10-0.0128%19 Mar
dust213–80.0216%18 Mar
ancient13–70.0730%18 Mar
ancient19–170.0219%16 Mar
inferno13–16-0.0229%9 Mar
mirage11–130.0034%8 Mar
anubis9–13-0.0219%5 Mar
anubis9–13-0.0032%1 Mar
inferno13–7-0.0016%27 Feb
anubis13–110.0123%21 Feb
overpass13–16-0.0013%15 Feb
mirage13–16-0.0415%15 Feb
dust213–50.0814%8 Feb
dust211–13-0.0522%7 Feb
dust211–130.0128%26 Jan
anubis8–13-0.0120%25 Jan
dust213–100.0421%23 Jan
ancient7–130.0125%21 Jan
anubis4–13-0.0323%18 Jan
mirage16–130.0117%18 Jan
anubis9–130.0321%18 Jan
ancient9–13-0.0417%17 Jan
ancient2–13-0.0728%17 Jan
mirage11–130.0930%6 Jan
dust213–11-0.0125%6 Jan
dust219–150.0017%5 Jan
inferno13–4-0.0121%4 Jan
ancient8–13-0.0621%4 Jan
dust23–13-0.0322%3 Jan
inferno6–13-0.0512%2 Jan
ancient5–130.0226%29 Dec
dust28–13-0.0324%28 Dec
mirage7–130.0320%28 Dec
mirage13–10-0.0426%23 Dec
dust213–10-0.0020%20 Dec
inferno11–130.0725%19 Dec
ancient19–16-0.0123%18 Dec
overpass13–90.0329%16 Dec
mirage8–130.0624%15 Dec
inferno13–90.0623%12 Dec
mirage10–13-0.0018%12 Dec
dust213–4-0.0526%11 Dec
dust213–10.010%11 Dec
dust28–130.0413%11 Dec
train11–130.0338%10 Dec
inferno13–50.059%9 Dec
mirage5–13-0.0426%9 Dec
dust215–150.0418%6 Dec
mirage9–130.0128%4 Dec
dust219–150.0424%4 Dec

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →