The Magixxler

The Magixxler — CS2 Stats

76561199082595266[U:1:1122329538]Steam profile ↗✓ No bans

645Tracked matches52%Win rate2021Tracked since
889Hours in CS1Hrs last 2 wks
CSDB Rating2.6 Learning
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=1,073), 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 playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate50.0%40.9%41.8%above
Shot accuracy13.9%12.5%11.9%above
Kill/death ratio0.740.950.970.23 short
Match win rate39.5%42.4%43.5%4.0% short

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGThe MagixxlerFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim19
Positioning43
Utility7

0–100 skill scores via Leetify.

Recent form

STEADY42562Last 10042%Win rateTWLWLWWLLW

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

Player DNA

Aim1.9
Aggression5.6
Utility0.7
Positioning4.3
Opening Duels2.1
Clutch6.0

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

b1t

Plays most like b1t 69% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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. 660ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% 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

Aim1.9
Positioning4.3
Utility0.7
Mechanics2.1
Opening Duels2.1
Win Impact5.6

Composite 2.6/10 (Learning), 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-0.00+0.03
first ⅓ avg -0.03 → last ⅓ avg -0.00
Reaction time653ms+10ms
first ⅓ avg 643ms → last ⅓ avg 653ms
Headshot accuracy21.3%+2.5%
first ⅓ avg 18.8% → last ⅓ avg 21.3%

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

0.24Best rating — vertigo 9–4
130Biggest win — dust2
6Longest win streak
19In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 76% over 17ancientWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC2491538%-0.02
dust2C2081240%-0.03
nukeS1713476%0.01
ancientD81713%-0.03
cacheB84450%-0.05
infernoD61517%-0.06
vertigoD62433%0.01
overpass43175%-0.03
anubis3030%-0.06
office1010%0.01
train110100%-0.03
warden1010%0.06
alpine1010%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,594Lifetime kills
0.74K/D
1,383Matches
39.5%Match win rate
50.0%Headshot % · Top 25% of Level 2 players
13.9%Shot accuracy · Top 50% of Level 2 players
2,439MVPs
439Hours (in match)
1,032Bombs planted
281Bombs defused

Most-used weapons

Lifetime map wins

1,610inferno
1,110nuke
1,010dust2
717vertigo
378train
264lake
144cbble
120office

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

Faceit stats

Combat

96Matches
42%Win rate
0.88Avg K/D
81.3ADR
49%Headshot %

Clutches & streaks

50%1v1 clutch win
26%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2556%1.1015.8
Inferno825%0.9216.3
Dust2743%0.7611.1
Ancient743%0.8213.0
Nuke540%1.2211.4
Train333%0.9915.7
Anubis333%0.6912.3
Overpass250%0.9811.5

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.

20.1%Headshot accuracy
25.4%Accuracy (enemy spotted)
25.2%Spray accuracy
59.3%Counter-strafing
12.9°Preaim
660msReaction time
33.1%T opening success
44.1%CT opening success
0.10Enemies flashed / flash
0.0%Flash assists
4.70HE damage / grenade
0.19Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.873° — above the 12° mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.0954 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Ancient

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
office12–120.0111%29 Aug
dust213–00.0817%29 Aug
dust21–100.0023%14 Aug
nuke13–20.0117%14 Aug
dust214–16-0.0423%27 Jul
overpass13–1-0.0226%27 Jul
mirage13–10-0.0519%27 Jul
dust26–13-0.0619%27 Jul
ancient10–13-0.0416%18 Jul
dust213–3-0.0114%18 Jul
anubis7–13-0.086%18 Jul
nuke14–16-0.0116%10 Jul
mirage13–100.0315%10 Jul
mirage7–80.0212%9 Jul
cache13–4-0.0215%5 Jul
overpass2–6-0.0215%5 Jul
ancient4–130.0222%2 Jul
inferno13–10-0.0616%2 Jul
mirage8–13-0.0711%1 Jul
dust213–6-0.1142%28 Jun
mirage13–50.0619%28 Jun
nuke13–40.0524%28 Jun
nuke13–10.0542%28 Jun
mirage13–30.0236%28 Jun
nuke13–30.1529%28 Jun
cache11–13-0.1013%23 Jun
vertigo16–19-0.0324%23 Jun
dust27–13-0.0517%22 Jun
nuke10–0-0.0239%22 Jun
mirage7–130.0022%22 Jun
dust28–13-0.0723%22 Jun
vertigo9–40.2445%22 Jun
train13–6-0.0313%18 Jun
ancient3–130.0029%18 Jun
dust210–10.0432%18 Jun
dust213–11-0.0115%17 Jun
vertigo14–16-0.0715%14 Jun
mirage4–13-0.0928%12 Jun
nuke13–80.0129%12 Jun
dust22–13-0.0219%9 Jun
mirage11–13-0.0354%9 Jun
mirage7–13-0.047%6 Jun
dust213–9-0.0319%6 Jun
nuke13–40.0125%5 Jun
mirage11–130.1418%5 Jun
ancient5–13-0.0917%4 Jun
inferno1–13-0.0710%4 Jun
mirage13–100.0122%4 Jun
mirage8–13-0.1115%2 Jun
dust213–5-0.0331%2 Jun
nuke6–13-0.0926%1 Jun
overpass13–8-0.1027%27 May
dust213–4-0.0322%27 May
dust24–13-0.0424%27 May
mirage11–13-0.1220%27 May
cache6–13-0.0713%27 May
mirage5–13-0.0325%27 May
anubis2–13-0.039%26 May
vertigo10–13-0.0910%26 May
dust20–13-0.0820%25 May
cache13–9-0.0226%23 May
mirage13–8-0.017%23 May
overpass10–20.0227%23 May
vertigo16–19-0.0032%22 May
nuke9–130.0318%18 May
ancient8–13-0.028%18 May
nuke13–3-0.0625%18 May
ancient7–13-0.059%15 May
dust23–13-0.0718%15 May
inferno10–130.0111%15 May
mirage8–10.0330%15 May
inferno15–15-0.0419%15 May
nuke9–20.0610%15 May
mirage5–13-0.127%14 May
mirage5–13-0.0523%9 May
inferno3–13-0.120%9 May
mirage13–50.0121%8 May
cache13–9-0.0510%8 May
nuke13–6-0.0616%7 May
mirage9–130.0823%7 May
dust24–130.0028%7 May
mirage1–10-0.0429%4 May
nuke5–130.0514%4 May
cache3–130.0114%4 May
mirage13–8-0.098%3 May
ancient13–7-0.0917%3 May
cache13–5-0.0633%3 May
nuke6–2-0.0414%3 May
cache2–13-0.097%3 May
dust26–13-0.0224%3 May
anubis1–13-0.0820%26 Mar
mirage4–13-0.0722%26 Jan
nuke16–130.0114%26 Jan
warden3–40.0642%26 Jan
alpine5–13-0.0420%26 Jan
nuke13–9-0.0515%20 Jan
vertigo13–4-0.0031%17 Jan
inferno4–13-0.0626%17 Jan
ancient9–130.0127%26 Nov
dust26–13-0.0918%25 Nov

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 →