MAFscope

MAFscope — CS2 Stats

DE76561198759389638[U:1:799123910]Steam profile ↗✓ No bans

309Tracked matches66%Win rate2025Tracked since
656Hours in CS21Hrs last 2 wks
CSDB Rating7.1 StrongClutch Specialist
Premier CS Rating13,765Blue band · top ~34.9% of ranked players (population est.)
FaceitLevel 4 · 908 ELOTop 81.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (2 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: 13,765 +4,367 2 Apr – 1 Oct · 9 days played
9,27414,470peak 14,4702 Apr1 Oct
14,678Peak Premier in tracked matches
908Highest Faceit ELO seen on CSDB
29Days played since 2026-04-02

Faceit ELO

  • At peak — 908
  • Next: Level 5 at 1,051 — 143 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • 705 below peak (14,470)
  • Next: Purple band at 15,000 — 1,235 to go
  • Reached: Blue band · Light Blue band

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 4 among CSDB-tracked players (n=13,998), 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 4 medianLevel 5 medianvs Level 5
Headshot rate60.0%42.7%43.8%above
Shot accuracy0.0%11.3%12.0%12.0% short
Kill/death ratio0.870.991.020.15 short
Match win rate44.9%43.9%44.7%meets

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMAFscopeFACEITLevel 4 · 908 ELOSTANDINGTop 81.0% of rankedPREMIER13,765 · Blue bandPEAK ELO908csdb.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

Aim71
Positioning76
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY46–40–14Last 10046%Win rateWLLWLLLWLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −12.9pp headshot accuracy · +24ms reaction

Win rate down 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 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 714ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 696ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 29%
  • Avg reaction 684ms

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 (+1.3 against its own average).

Aim7.1
Utility5.4
Positioning7.6
Opening Duels6.8
Clutch8.4

Strong CT-side openerReliable 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

donk

Plays most like donk 86% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 642ms 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

Aim7.1
Positioning7.6
Utility5.4
Mechanics7.6
Opening Duels8.5
Win Impact10.0

Composite 7.1/10 (Strong), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time671ms+26ms
first ⅓ avg 646ms → last ⅓ avg 671ms
Headshot accuracy28.5%+6.5%
first ⅓ avg 22.1% → last ⅓ avg 28.5%

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

0.29Best match rating · 13–1 · cache, 24 Jul →
100%Best headshot accuracy · 1–9 · inferno, 27 Sept →
453msFastest reaction time · 0–9 · debris, 25 Aug →
13–0Biggest win · dust2, 2 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 71% over 7dust2Weakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB4422–2250%0.02
dust2C114–736%0.02
vertigoC94–544%-0.02
nukeC83–538%0.03
cacheS75–271%0.07
anubis—43–175%0.01
ancient—43–175%0.01
debris—30–30%-0.12
eldorado—30–30%-0.02
mirage—22–0100%0.04
poseidon—10–10%-0.04
overpass—10–10%-0.12
fachwerk—10–10%0.01
italy—10–10%-0.02
sanctum—10–10%0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,236Lifetime kills
0.87K/D
732Matches
44.9%Match win rate · Top 50% of Level 4 players
60.0%Headshot % · Top 5% of Level 4 players
0.0%Shot accuracy
1,799MVPs
234Hours (in match)
593Bombs planted
246Bombs defused

Most-used weapons

Lifetime map wins

1,986inferno
771dust2
431nuke
262vertigo
66train
33italy
25office
2ar_shoots

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

Faceit stats

Combat

7Matches
29%Win rate
0.92Avg K/D
69.4ADR
48%Headshot %

Clutches & streaks

62%1v1 clutch win
20%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno540%0.8914.4
Ancient10%1.2024.0
Dust210%0.7814.0

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.

24.9%Headshot accuracy
33.8%Accuracy (enemy spotted)
34.7%Spray accuracy
84.0%Counter-strafing
10.6°Preaim
642msReaction time
62.4%T opening success
65.9%CT opening success
0.51Enemies flashed / flash
10.2%Flash assists
6.07HE damage / grenade
11.51Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–00.1520%2 Oct →
inferno5–9-0.064%1 Oct →
dust26–13-0.0236%1 Oct →
mirage13–60.0517%1 Oct →
dust26–13-0.0119%1 Oct →
cache4–13-0.0433%1 Oct →
dust210–130.0420%30 Sept →
nuke13–60.0031%30 Sept →
nuke9–13-0.0124%29 Sept →
inferno13–40.1021%29 Sept →
inferno13–70.0330%29 Sept →
anubis13–80.0215%29 Sept →
dust210–130.0229%29 Sept →
nuke13–60.0931%28 Sept →
inferno3–9-0.119%28 Sept →
vertigo9–130.0441%27 Sept →
inferno9–60.1643%27 Sept →
inferno1–9-0.09100%27 Sept →
cache13–110.0025%13 Sept →
dust213–30.1031%13 Sept →
inferno4–9-0.1027%13 Sept →
inferno9–30.0847%13 Sept →
inferno13–3-0.0020%13 Sept →
inferno13–100.0527%13 Sept →
inferno8–8-0.0633%12 Sept →
cache13–110.0135%11 Sept →
dust210–130.0330%11 Sept →
inferno13–11-0.0514%11 Sept →
nuke7–9-0.0438%11 Sept →
poseidon5–9-0.0429%11 Sept →
inferno7–9-0.0730%10 Sept →
dust213–11-0.0819%10 Sept →
inferno13–70.0313%10 Sept →
overpass7–9-0.1223%10 Sept →
nuke8–80.0726%9 Sept →
vertigo9–70.1116%9 Sept →
dust210–130.0133%9 Sept →
inferno8–80.0148%9 Sept →
dust213–110.0419%9 Sept →
vertigo9–2-0.0229%9 Sept →
inferno9–60.1326%9 Sept →
anubis13–80.0117%9 Sept →
nuke9–130.0917%9 Sept →
inferno9–20.1416%9 Sept →
inferno9–10.2244%9 Sept →
inferno9–30.2817%9 Sept →
inferno8–80.0844%4 Sept →
mirage13–110.0319%4 Sept →
vertigo2–9-0.1950%2 Sept →
vertigo2–9-0.1224%2 Sept →
ancient13–60.0620%27 Aug →
inferno1–9-0.1336%27 Aug →
fachwerk12–120.0139%27 Aug →
cache13–100.0526%27 Aug →
vertigo6–9-0.270%25 Aug →
debris0–9-0.1711%25 Aug →
inferno8–8-0.0920%25 Aug →
inferno8–8-0.0417%24 Aug →
inferno9–60.1119%24 Aug →
inferno3–9-0.0420%24 Aug →
inferno13–9-0.0018%23 Aug →
nuke13–10.0927%23 Aug →
eldorado2–9-0.0673%21 Aug →
vertigo9–40.1832%21 Aug →
inferno1–9-0.1726%21 Aug →
inferno6–90.0025%21 Aug →
inferno9–50.1155%15 Aug →
anubis13–7-0.0017%15 Aug →
ancient13–40.0019%14 Aug →
inferno8–80.0726%14 Aug →
cache13–60.1221%14 Aug →
inferno7–9-0.0215%14 Aug →
inferno6–9-0.310%14 Aug →
inferno13–20.0622%10 Aug →
anubis5–130.0122%10 Aug →
ancient0–13-0.0935%10 Aug →
eldorado8–8-0.0023%10 Aug →
inferno9–20.1124%10 Aug →
inferno6–90.0721%2 Aug →
inferno9–6-0.156%2 Aug →
cache5–130.0422%31 Jul →
inferno9–60.0526%31 Jul →
eldorado7–9-0.0121%24 Jul →
cache13–10.2918%24 Jul →
debris3–9-0.1138%24 Jul →
debris8–8-0.0716%22 Jul →
nuke15–15-0.029%21 Jul →
inferno9–70.0144%5 Apr →
italy10–13-0.0228%5 Apr →
sanctum8–80.0727%5 Apr →
vertigo8–8-0.0130%5 Apr →
inferno9–50.0620%5 Apr →
dust21–13-0.0616%3 Apr →
inferno9–40.1529%3 Apr →
inferno3–9-0.0719%3 Apr →
vertigo9–60.0917%3 Apr →
inferno3–9-0.0232%3 Apr →
inferno8–8-0.0324%2 Apr →
inferno7–90.2523%2 Apr →
ancient13–100.0514%2 Apr →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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