Magma — CS2 Stats

76561198211237321[U:1:250971593]

35Tracked matches53%Win rate2026Tracked since
44Hours in CS
CSDB Rating1.7 Learning
Ladder ranks via Leetify

Performance scores

Aim8
Positioning10
Utility4

0–100 skill scores via Leetify.

Recent form

STEADY1718Last 3549%Win rateLWLWLWLLWL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim0.8
Aggression0.0
Utility0.4
Positioning1.0
Opening Duels0.0

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

Strengths & areas to improve

Areas to improve

Reaction time. 809ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim0.8
Positioning1.0
Utility0.4
Mechanics3.7
Opening Duels0.0
Win Impact6.1

Composite 1.7/10 (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-0.08+0.02
first ⅓ avg -0.09 → last ⅓ avg -0.08
Reaction time818ms+20ms
first ⅓ avg 798ms → last ⅓ avg 818ms
Headshot accuracy10.9%−0.9%
first ⅓ avg 11.8% → last ⅓ avg 10.9%

Rolling 5-match average across the last 35 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.00Best rating — anubis 13–7
131Biggest win — cache
6Longest win streak

Map breakdown

cacheBest map · 55% over 11trainWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
cacheA116555%-0.08
trainD62433%-0.08
anubisC52340%-0.06
inferno43175%-0.06
dust232167%-0.10
office21150%-0.05
mirage2020%-0.11
nuke110100%-0.08
ancient1010%-0.10

Across the last 35 tracked matches.

Lifetime stats

574Lifetime kills
0.30K/D
103Matches
25.2%Match win rate
44.6%Headshot % · Top 50% of tracked players
0.0%Shot accuracy
21MVPs
44Hours (in match)
71Bombs planted
7Bombs defused

Most-used weapons

Lifetime map wins

108dust2
49inferno
45train
24nuke
20office
4vertigo

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.0%Headshot accuracy
25.3%Accuracy (enemy spotted)
19.3%Spray accuracy
66.4%Counter-strafing
11.6°Preaim
809msReaction time
4.6%T opening success
4.8%CT opening success
0.07Enemies flashed / flash
0.0%Flash assists
0.96HE damage / grenade
0.18Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.9551% — below the 15% mark we flag

    Aim Training
  2. Advanced Mechanics

    Sustained sprays are missing more than they land, which is a recoil-control pattern you can drill directly.

    Spray accuracy 19.3214% — below the 20% mark we flag

    Practice Config
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 808.9679ms — above the 700ms mark we flag

    Aim Training
Spend your practice time on Train

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
anubis1–13-0.0814%1 Jun
anubis13–6-0.034%1 Jun
anubis10–13-0.109%28 May
cache13–1-0.0720%23 May
cache3–13-0.126%23 May
office13–6-0.0215%13 May
office7–13-0.0811%13 May
mirage8–13-0.0910%8 May
cache12–6-0.090%7 May
cache7–13-0.099%7 May
cache13–5-0.0622%7 May
cache13–9-0.0813%7 May
cache13–4-0.0215%6 May
cache7–13-0.0715%6 May
cache6–13-0.1033%6 May
cache2–13-0.060%6 May
cache13–7-0.098%29 Apr
train13–3-0.100%27 Apr
train9–0-0.000%27 Apr
train6–13-0.048%27 Apr
train11–13-0.0710%27 Apr
train5–13-0.0933%26 Apr
dust211–13-0.068%26 Apr
anubis13–70.0011%21 Apr
inferno13–4-0.0417%21 Apr
nuke13–8-0.0817%21 Apr
dust213–9-0.139%21 Apr
inferno13–8-0.056%21 Apr
inferno13–2-0.0417%20 Apr
ancient6–13-0.1015%20 Apr
inferno8–13-0.1013%20 Apr
train1–13-0.189%20 Apr
mirage11–13-0.1314%20 Apr
dust213–4-0.1013%19 Apr
anubis4–13-0.080%19 Apr

Match data via Leetify.

Recent teammates

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