Madschi

Madschi — CS2 Stats

TO76561198070509196[U:1:110243468]Steam profile ↗✓ No bans

3,340Tracked matches30%Win rate2022Tracked since
4,232Hours in CS8Hrs last 2 wks
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating14,454Blue band · top ~31.3% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (4 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: 14,454 -5,656 31 Aug – 27 Oct · 36 days played
14,15620,414peak 20,41431 Aug27 Oct
20,495Peak Premier in tracked matches
34Days played since 2026-08-31

Premier CS Rating

  • 5,960 below peak (20,414)
  • -3,394 over 30 days · declining
  • Next: Purple band at 15,000 — 546 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-31

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

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate33.3%44.8%45.7%12.4% short
Shot accuracy4.8%12.4%12.7%7.9% short
Kill/death ratio1.071.031.05meets
Match win rate46.4%45.2%45.7%meets

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMadschiFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER14,454 · Blue 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

Aim57
Positioning69
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY36–62–2Last 10036%Win rateWWLLLWLLLW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · +0.7pp headshot accuracy · −16ms reaction

Win rate up 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 503ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 553ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • 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: Positional Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim5.7
Utility5.4
Positioning6.9
Opening Duels4.9
Clutch3.4

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

Twistzz

Plays most like Twistzz 76% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Strengths

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 66% on T to 45% on CT — first contacts on the defending side are being lost.

Counter-strafing. Only 68% 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

Aim5.7
Positioning6.9
Utility5.4
Mechanics4.0
Opening Duels6.5
Win Impact0.0

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time534ms+33ms
first ⅓ avg 501ms → last ⅓ avg 534ms
Headshot accuracy21.1%+2.5%
first ⅓ avg 18.6% → last ⅓ avg 21.1%

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

0.15Best match rating · 13–0 · anubis, 27 Sept →
42%Best headshot accuracy · 13–5 · inferno, 10 Oct →
328msFastest reaction time · 1–13 · anubis, 17 Sept →
13–0Biggest win · dust2, 5 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
8–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 50% over 14mirageWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoC197–1237%0.02
cacheC166–1038%-0.00
dust2C167–944%0.03
nukeB147–750%0.00
ancientC135–838%0.02
anubisD111–109%0.02
mirageD50–50%-0.03
vertigo—31–233%0.01
office—11–0100%0.06
train—10–10%-0.05
overpass—11–0100%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

91,399Lifetime kills
1.07K/D · Top 50% of Level 6 players
5,392Matches
46.4%Match win rate · Top 50% of Level 6 players
33.3%Headshot %
4.8%Shot accuracy
12,279MVPs
2,209Hours (in match)
7,749Bombs planted
1,476Bombs defused

Most-used weapons

Lifetime map wins

14,173inferno
7,260nuke
4,897dust2
3,301vertigo
914train
477office
115italy
29ar_shoots

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

Faceit stats

Combat

314Matches
49%Win rate
1.30Avg K/D
82.0ADR
30%Headshot %

Clutches & streaks

37%1v1 clutch win
25%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno4753%1.3215.9
Anubis3642%1.3017.3
Vertigo3364%1.2118.0
Nuke1567%1.1517.6
Ancient1547%1.3317.4
Dust2838%1.0816.3
Mirage520%0.9715.0
Train10%1.1219.0

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.

21.2%Headshot accuracy
30.9%Accuracy (enemy spotted)
29.6%Spray accuracy
67.9%Counter-strafing
10.0°Preaim
541msReaction time
66.5%T opening success
45.2%CT opening success
0.67Enemies flashed / flash
2.4%Flash assists
10.12HE damage / grenade
6.09Flashes / match

Recommended for you

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–90.0915%27 Oct →
nuke13–40.0229%27 Oct →
nuke8–130.0024%27 Oct →
cache13–16-0.0519%26 Oct →
inferno7–130.0016%26 Oct →
nuke13–5-0.0420%25 Oct →
dust28–13-0.0815%25 Oct →
ancient5–13-0.029%25 Oct →
inferno11–130.0220%17 Oct →
inferno13–7-0.0038%17 Oct →
cache3–13-0.0812%17 Oct →
nuke10–13-0.0332%16 Oct →
dust213–110.0617%16 Oct →
ancient13–80.0719%16 Oct →
cache4–13-0.0127%16 Oct →
inferno9–130.0418%15 Oct →
mirage7–13-0.1112%15 Oct →
mirage6–13-0.0622%15 Oct →
inferno9–130.0115%14 Oct →
nuke10–130.0124%14 Oct →
inferno10–13-0.0127%12 Oct →
anubis6–130.0617%11 Oct →
inferno13–80.0233%11 Oct →
mirage8–13-0.0027%11 Oct →
nuke5–13-0.0316%11 Oct →
dust213–90.0629%11 Oct →
nuke5–13-0.0315%10 Oct →
inferno13–50.0842%10 Oct →
cache10–130.039%10 Oct →
ancient10–13-0.0521%10 Oct →
ancient13–70.0621%9 Oct →
cache13–9-0.0226%9 Oct →
nuke16–140.0413%9 Oct →
dust213–9-0.0211%8 Oct →
dust210–130.0628%7 Oct →
cache8–130.0316%7 Oct →
anubis12–16-0.0112%6 Oct →
dust215–150.0115%6 Oct →
cache5–13-0.0614%6 Oct →
cache9–130.0333%5 Oct →
dust213–00.1033%5 Oct →
inferno4–130.0222%4 Oct →
cache16–140.0429%4 Oct →
inferno10–13-0.0123%4 Oct →
inferno11–13-0.0211%1 Oct →
mirage11–130.0411%1 Oct →
nuke13–10-0.0211%1 Oct →
inferno9–130.0622%27 Sept →
cache13–40.0222%27 Sept →
dust213–110.0419%27 Sept →
dust216–140.0016%27 Sept →
dust211–130.0220%27 Sept →
anubis13–00.1510%27 Sept →
ancient13–9-0.0314%27 Sept →
nuke13–7-0.0127%25 Sept →
anubis4–13-0.026%25 Sept →
dust210–13-0.0314%25 Sept →
cache5–130.0321%25 Sept →
ancient9–130.0231%25 Sept →
dust210–130.0717%25 Sept →
dust211–130.0824%25 Sept →
nuke10–130.0834%25 Sept →
dust25–13-0.0829%25 Sept →
inferno13–90.0812%23 Sept →
vertigo11–130.0124%23 Sept →
ancient9–130.0317%21 Sept →
anubis3–130.0235%20 Sept →
cache13–100.0118%20 Sept →
ancient13–30.0630%20 Sept →
nuke10–130.0115%20 Sept →
ancient4–130.0216%17 Sept →
inferno13–9-0.0224%17 Sept →
anubis1–13-0.0222%17 Sept →
cache13–11-0.0120%17 Sept →
inferno13–90.0438%16 Sept →
inferno15–150.0515%15 Sept →
cache13–90.0615%15 Sept →
vertigo3–13-0.028%15 Sept →
ancient5–13-0.0320%14 Sept →
anubis9–130.018%14 Sept →
ancient8–130.006%13 Sept →
inferno12–16-0.0122%13 Sept →
mirage14–16-0.0114%12 Sept →
inferno14–16-0.0314%12 Sept →
ancient7–130.0827%12 Sept →
office13–110.0634%11 Sept →
dust213–100.0830%11 Sept →
train10–13-0.0515%11 Sept →
overpass13–30.0310%11 Sept →
vertigo13–40.0328%11 Sept →
anubis9–130.0412%10 Sept →
cache11–13-0.0814%10 Sept →
dust29–130.0335%9 Sept →
nuke13–20.0815%9 Sept →
inferno16–140.018%9 Sept →
anubis3–13-0.055%8 Sept →
anubis9–13-0.0214%6 Sept →
cache8–130.0216%6 Sept →
nuke13–7-0.0423%6 Sept →
anubis9–130.0224%3 Sept →

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 →

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