Mag

Mag — CS2 Stats

76561197998445826[U:1:38180098]Steam profile ↗✓ No bans

505Tracked matches37%Win rate2020Tracked since
CSDB Rating5.2 DevelopingClutch Specialist
Premier CS Rating19,632Top 50% of 212,910 CSDB-tracked playersPurple band · top ~10% of ranked players (population est.)
CSDB Leaderboard#91007 of 259624 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,632 +9,909 2 Apr – 14 Oct · 5 days played
9,72319,866peak 19,8662 Apr14 Oct
19,981Peak Premier in tracked matches
55Days played since 2025-03-28

Premier CS Rating

  • 234 below peak (19,866)
  • Next: Pink band at 20,000 — 368 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGMagPREMIER19,632 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim69
Positioning49
Utility44

0–100 skill scores via Leetify.

Recent form

COLD38–59–3Last 10038%Win rateLLLLLWLLLL

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · −5.5pp headshot accuracy · −26ms reaction

Win rate down 40pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 19%
  • Avg reaction 466ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 18%
  • Avg reaction 547ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 560ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+4.6 against its own average).

Aim6.9
Utility4.4
Positioning4.9
Opening Duels0.4
Clutch9.4

Limited utility dependenceReliable in 1v1s

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

b1t

Plays most like b1t 88% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

CT openings. Opening success drops from 56% on T to 31% on CT — first contacts on the defending side are being lost.

Reaction time. 588ms 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

Aim6.9
Positioning4.9
Utility4.4
Mechanics7.4
Opening Duels3.4
Win Impact0.6

Composite 5.2/10 (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+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time588ms−114ms
first ⅓ avg 703ms → last ⅓ avg 588ms
Headshot accuracy19.6%−2.8%
first ⅓ avg 22.4% → last ⅓ avg 19.6%

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

0.10Best match rating · 4–13 · mirage, 26 Sept →
57%Best headshot accuracy · 0–13 · nuke, 21 Apr →
375msFastest reaction time · 4–13 · inferno, 12 Oct →
13–1Biggest win · cache, 11 Jul →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L5Current streak
5–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

anubisBest map · 67% over 6trainWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
cacheC177–1041%-0.01
infernoC156–940%-0.03
mirageD144–1029%-0.02
ancientC114–736%-0.03
dust2C104–640%-0.01
nukeC94–544%-0.01
anubisS64–267%-0.01
overpassD62–433%-0.04
trainD50–50%-0.02
office—21–150%-0.01
boulder—11–0100%-0.09
warden—10–10%-0.06
italy—10–10%-0.02
grail—10–10%-0.02
vertigo—11–0100%0.07

Across the last 100 tracked matches.

Faceit stats

Combat

664Matches
47%Win rate
1.10Avg K/D
64.6ADR
44%Headshot %

Clutches & streaks

67%1v1 clutch win
17%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient70%0.457.7
Mirage633%0.6711.3
Cache30%0.6610.7
Inferno333%0.488.0
Anubis333%0.6110.0
Nuke30%0.466.3
Train10%0.538.0

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.

19.1%Headshot accuracy
35.7%Accuracy (enemy spotted)
35.8%Spray accuracy
83.1%Counter-strafing
11.6°Preaim
588msReaction time
56.0%T opening success
30.9%CT opening success
0.51Enemies flashed / flash
5.1%Flash assists
8.30HE damage / grenade
2.73Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.7304 — below the 4 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 30.8549% — below the 40% mark we flag

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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.0611%2 Nov →
ancient7–13-0.0615%29 Oct →
inferno6–13-0.0023%29 Oct →
inferno3–13-0.0418%26 Oct →
nuke1–13-0.0626%19 Oct →
inferno13–8-0.0126%19 Oct →
inferno8–13-0.0529%14 Oct →
cache0–13-0.0810%14 Oct →
mirage5–13-0.0212%13 Oct →
mirage3–13-0.1013%12 Oct →
ancient13–90.0030%12 Oct →
inferno4–13-0.0531%12 Oct →
anubis13–10-0.0216%9 Oct →
train7–130.0625%9 Oct →
ancient7–13-0.0223%8 Oct →
inferno13–110.0220%8 Oct →
inferno1–13-0.0629%8 Oct →
inferno13–50.0424%7 Oct →
mirage13–10-0.0017%7 Oct →
ancient2–13-0.0322%7 Oct →
cache13–10-0.0113%6 Oct →
anubis13–100.0216%5 Oct →
mirage1–13-0.0520%5 Oct →
inferno2–13-0.0710%2 Oct →
mirage13–60.0022%2 Oct →
cache9–13-0.0913%2 Oct →
dust27–13-0.0423%2 Oct →
inferno6–13-0.0213%29 Sept →
dust213–9-0.0510%28 Sept →
overpass13–90.0218%26 Sept →
office13–90.0123%26 Sept →
nuke8–130.0118%26 Sept →
mirage4–130.1030%26 Sept →
mirage13–10-0.0625%10 Sept →
anubis11–13-0.0611%9 Sept →
cache13–7-0.0117%9 Sept →
cache14–160.0420%8 Sept →
mirage6–13-0.0212%8 Sept →
inferno3–13-0.0917%8 Aug →
cache3–130.0419%8 Aug →
nuke13–4-0.0418%8 Aug →
cache10–13-0.0018%8 Aug →
nuke12–12-0.0110%7 Aug →
ancient13–11-0.0117%29 Jul →
anubis8–13-0.0215%28 Jul →
office1–13-0.0222%28 Jul →
dust210–13-0.0125%28 Jul →
anubis13–9-0.0323%28 Jul →
ancient5–13-0.0021%28 Jul →
cache6–13-0.0010%11 Jul →
cache13–10.1025%11 Jul →
boulder13–11-0.0922%11 Jul →
nuke13–10-0.0019%11 Jul →
dust29–130.0119%11 Jul →
ancient13–10-0.0016%10 Jul →
cache13–3-0.0213%8 Jul →
cache13–9-0.0215%5 Jun →
cache6–13-0.0511%5 Jun →
cache5–13-0.009%2 Jun →
cache7–130.0329%2 Jun →
ancient13–80.0117%23 May →
cache13–7-0.0525%23 May →
warden11–13-0.0611%21 May →
overpass5–13-0.0623%21 May →
dust213–8-0.0217%21 May →
cache13–10.015%21 May →
cache3–13-0.034%21 May →
train4–13-0.0629%2 Apr →
anubis13–60.0716%24 Jan →
dust212–12-0.039%24 Jan →
italy11–13-0.0220%7 Dec →
mirage13–30.0413%7 Dec →
overpass13–6-0.0011%7 Dec →
mirage2–13-0.0721%21 Nov →
nuke13–80.0339%15 Nov →
inferno13–11-0.0632%14 Nov →
dust213–90.0024%13 Nov →
dust212–120.0219%30 Aug →
overpass10–13-0.0822%30 Aug →
overpass6–13-0.0418%22 Aug →
nuke13–70.0121%19 Aug →
mirage5–11-0.0317%8 Aug →
overpass6–13-0.069%13 Jun →
grail3–9-0.0227%6 Jun →
train2–13-0.0716%21 May →
ancient3–13-0.129%14 May →
mirage8–13-0.0319%5 May →
mirage5–13-0.0647%28 Apr →
nuke0–13-0.0357%21 Apr →
ancient1–13-0.0738%14 Apr →
train5–13-0.0220%9 Apr →
nuke3–13-0.0411%9 Apr →
dust25–13-0.0323%8 Apr →
vertigo13–50.0731%5 Apr →
inferno5–13-0.0617%5 Apr →
train8–130.0025%3 Apr →
mirage5–130.0510%3 Apr →
dust213–110.0223%2 Apr →
inferno13–10-0.0421%28 Mar →
inferno13–1-0.0127%28 Mar →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.