Mufasa

Mufasa — CS2 Stats

76561197963955316[U:1:3689588]Steam profile ↗✓ No bans

1,650Tracked matches41%Win rate2020Tracked since
5,376Hours in CS6Hrs last 2 wks
CSDB Rating5.5 SolidSupport
FaceitLevel 10 · 2,467 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (54 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,467 → 2,467
+26Tracked matches · now 1,650
−3.4ppWin rate · 44.8% → 41.4%

Rating over time

Faceit ELO: 2,467 +0 28 Aug – 2 Sept · 3 observations
2,4672,467peak 2,46728 Aug2 Sept
2,467Highest Faceit ELO seen on CSDB
61Days played since 2025-08-24

Faceit ELO

  • At peak — 2,467
  • Next: 2,500 ELO at 2,500 — 33 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-28
  • Level 9 first seen 2026-08-28

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches2124−3
Win rate76%42%+35pp
K/D0.940.92+0.03
Headshot %48%55%−6pp

Measured 23 Sep 2026 → 26 Oct 2026; previous 28 Aug 2026 → 23 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,935), 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 10 median
Headshot rate46.0%50.9%
Shot accuracy16.8%13.7%
Kill/death ratio1.041.09
Match win rate52.7%48.4%

Share this profile

CSDB.GGMufasaFACEITLevel 10 · 2,467 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,467csdb.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

Aim72
Positioning54
Utility64

0–100 skill scores via Leetify.

Recent form

COLD52–44–4Last 10052%Win rateLLLLLWLLLL

Last 10 vs previous 10: −40pp win rate · −0.08 avg rating · −2.1pp headshot accuracy · −97ms 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 18%
  • Avg reaction 508ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 509ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 558ms

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: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim7.2
Utility6.4
Positioning5.4
Opening Duels3.4
Clutch4.2

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 90% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

Reaction time. 562ms 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

Aim7.2
Positioning5.4
Utility6.4
Mechanics5.3
Opening Duels3.2
Win Impact2.1

Composite 5.5/10 (Solid), 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 rating0.01+0.04
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time558ms−37ms
first ⅓ avg 595ms → last ⅓ avg 558ms
Headshot accuracy21.5%+0.6%
first ⅓ avg 20.9% → last ⅓ avg 21.5%

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

0.24Best match rating · 13–3 · dust2, 27 Feb →
44%Best headshot accuracy · 5–13 · dust2, 3 Jul →
391msFastest reaction time · 13–9 · ancient, 24 Aug →
13–1Biggest win · cache, 1 Jun →

Across the last 100 tracked matches.

Highlights

10Longest win streak
L5Current streak
9–10In matches decided by ≤2 rounds
18Overtime games

Map breakdown

trainBest map · 100% over 6infernoWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B2311–1248%0.04
nukeB2110–1148%-0.02
ancientC166–1038%-0.00
infernoD134–931%-0.01
overpassS1310–377%0.02
trainS66–0100%-0.03
mirage—42–250%-0.01
cache—22–0100%0.04
anubis—21–150%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

147,239Lifetime kills
1.04K/D
5,909Matches
52.7%Match win rate · Top 25% of Level 10 players
46.0%Headshot %
16.8%Shot accuracy · Top 25% of Level 10 players
18,405MVPs
3,278Hours (in match)
6,827Bombs planted
1,782Bombs defused

Most-used weapons

AK-4754,767
AWP8,968
Knife4,038
P2503,225
FAMAS3,121

Lifetime map wins

20,158dust2
10,244inferno
7,396nuke
4,767train
2,570cbble
1,538vertigo
47assault
32office

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

Faceit stats

Combat

3,534Matches
54%Win rate
1.11Avg K/D
75.5ADR
47%Headshot %

Clutches & streaks

41%1v1 clutch win
21%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient28561%1.0114.9
Nuke18759%0.9614.1
Inferno17056%0.9614.7
Dust215351%1.0315.5
Anubis8352%1.0315.3
Train8267%0.9714.8
Overpass8268%1.0015.5
Mirage7442%0.9915.2

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.

22.1%Headshot accuracy
34.3%Accuracy (enemy spotted)
38.6%Spray accuracy
73.8%Counter-strafing
10.3°Preaim
562msReaction time
36.4%T opening success
49.1%CT opening success
0.68Enemies flashed / flash
9.0%Flash assists
7.87HE damage / grenade
11.24Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 36.3818% — below the 40% mark we flag

Spend your practice time on Inferno

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0518%4 Sept →
inferno16–190.0022%29 Aug →
nuke11–13-0.0915%23 Aug →
nuke8–13-0.0123%19 Aug →
nuke9–13-0.0915%18 Aug →
nuke13–80.0922%2 Aug →
inferno13–160.0522%29 Jul →
ancient2–13-0.0627%27 Jul →
dust211–13-0.0022%25 Jul →
nuke8–130.0623%25 Jul →
dust211–130.0828%24 Jul →
inferno8–13-0.0217%17 Jul →
dust213–100.1116%17 Jul →
dust213–70.0521%10 Jul →
dust213–80.0614%9 Jul →
ancient16–140.1123%8 Jul →
mirage12–160.0316%8 Jul →
ancient15–150.1234%3 Jul →
dust25–130.0844%3 Jul →
cache13–10.0517%1 Jun →
dust210–13-0.0214%17 May →
cache13–100.0433%15 May →
inferno13–6-0.0327%8 May →
mirage13–10-0.0223%4 May →
dust211–13-0.0612%4 May →
overpass13–9-0.0219%29 Apr →
mirage14–16-0.0322%29 Apr →
ancient13–80.0432%29 Apr →
nuke13–10-0.0520%27 Mar →
nuke7–130.0025%24 Mar →
dust213–110.0115%22 Mar →
anubis10–13-0.0113%20 Mar →
ancient10–130.0514%14 Mar →
nuke13–11-0.0218%14 Mar →
dust215–150.0125%14 Mar →
overpass13–40.0823%14 Mar →
overpass9–13-0.0520%13 Mar →
dust213–90.0425%13 Mar →
dust213–20.0214%13 Mar →
ancient5–13-0.0817%13 Mar →
overpass13–110.0132%7 Mar →
dust213–70.0625%2 Mar →
dust212–12-0.0125%2 Mar →
dust213–30.0926%2 Mar →
inferno14–16-0.0216%1 Mar →
dust213–30.2430%27 Feb →
dust213–90.1720%23 Feb →
inferno13–7-0.0124%22 Feb →
inferno9–13-0.0210%3 Feb →
dust212–120.1317%2 Feb →
ancient8–13-0.0126%29 Jan →
inferno10–13-0.0229%23 Jan →
nuke11–13-0.047%2 Jan →
ancient13–16-0.0611%22 Dec →
overpass13–60.1423%18 Dec →
nuke4–13-0.0326%14 Dec →
overpass13–90.0224%23 Nov →
inferno13–90.0428%14 Nov →
overpass7–130.0117%12 Nov →
dust217–190.029%4 Nov →
dust214–16-0.0321%14 Oct →
overpass13–90.1221%13 Oct →
nuke13–9-0.0229%8 Oct →
anubis13–90.1126%3 Oct →
ancient13–80.0136%24 Sept →
inferno16–14-0.0119%18 Sept →
train19–16-0.0617%18 Sept →
nuke13–11-0.0514%10 Sept →
overpass16–14-0.0119%10 Sept →
ancient13–8-0.0422%10 Sept →
overpass13–9-0.0511%10 Sept →
dust22–13-0.0426%8 Sept →
train13–9-0.0119%8 Sept →
overpass13–90.0010%8 Sept →
ancient5–13-0.0322%8 Sept →
ancient6–13-0.0911%7 Sept →
mirage13–10-0.0213%4 Sept →
nuke13–11-0.0214%4 Sept →
overpass13–9-0.0616%4 Sept →
nuke5–130.0019%3 Sept →
ancient13–100.0527%3 Sept →
train13–11-0.0326%3 Sept →
nuke13–60.0724%3 Sept →
train13–80.0024%1 Sept →
inferno8–13-0.0323%1 Sept →
overpass11–13-0.0026%1 Sept →
nuke13–70.0316%1 Sept →
inferno10–13-0.0226%31 Aug →
train13–100.0026%31 Aug →
ancient16–19-0.0318%31 Aug →
inferno9–13-0.0240%31 Aug →
nuke2–13-0.0521%31 Aug →
nuke13–50.0035%31 Aug →
dust216–13-0.0122%29 Aug →
ancient12–16-0.0516%27 Aug →
nuke7–13-0.0519%27 Aug →
nuke13–100.0118%24 Aug →
ancient13–90.0118%24 Aug →
train22–19-0.0619%24 Aug →
nuke5–13-0.1030%24 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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