Mufasa

Mufasa — CS2 Stats

76561198274257939[U:1:313992211]Steam profile ↗✓ No bans

123Tracked matches33%Win rate2021Tracked since
CSDB Rating1.5 LearningPositional Player
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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Performance scores

Aim15
Positioning39
Utility9

0–100 skill scores via Leetify.

Recent form

COLD35614Last 10035%Win rateLLLLLLLLLW

Last 10 vs previous 10: −50pp win rate · −0.02 avg rating · +0.4pp headshot accuracy · +13ms reaction

Win rate down 50pp 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

  • 05 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 728ms

Last 10

  • 19 · 10% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 728ms

Last 20

  • 713 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 722ms

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 PlayerPositioning stands above the rest of this profile (+2 against its own average).

Aim1.5
Utility0.9
Positioning3.9
Opening Duels1.0

Limited utility dependence

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

ZywOo

Plays most like ZywOo 69% 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

Areas to improve

Reaction time. 753ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 53% 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

Aim1.5
Positioning3.9
Utility0.9
Mechanics0.7
Opening Duels0.3
Win Impact0.0

Composite 1.5/10 (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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time768ms−12ms
first ⅓ avg 780ms → last ⅓ avg 768ms
Headshot accuracy12.3%+4.0%
first ⅓ avg 8.3% → last ⅓ avg 12.3%

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

0.07Best match rating · 13–3 · inferno, 3 Jul
33%Best headshot accuracy · 8–13 · dust2, 4 Aug
500msFastest reaction time · 3–13 · mirage, 3 Aug
13–0Biggest win · nuke, 11 May

Across the last 100 tracked matches.

Highlights

4Longest win streak
L9Current streak
87In matches decided by ≤2 rounds
1Overtime games

Map breakdown

trainBest map · 83% over 6nukeWeakest map · 22% over 18
MapGradePlayedRecordWin rateAvg rating
dust2D1951426%-0.04
nukeD1841422%-0.04
mirageD1641225%-0.02
infernoA127558%0.00
ancientD92722%-0.04
trainS65183%-0.01
anubisS54180%-0.05
cache41325%-0.00
overpass41325%-0.05
vertigo21150%-0.02
fachwerk1010%-0.03
office1010%-0.01
jura110100%-0.09
agency1010%-0.04
thera1010%0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 18). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

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

13.1%Headshot accuracy
31.0%Accuracy (enemy spotted)
31.7%Spray accuracy
53.0%Counter-strafing
11.8°Preaim
753msReaction time
27.9%T opening success
32.0%CT opening success
0.20Enemies flashed / flash
6.9%Flash assists
3.89HE damage / grenade
0.67Flashes / 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 13.0861% — below the 15% mark we flag

    Aim Training
  2. 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 753.1806ms — above the 700ms mark we flag

    Aim Training
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.1968 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Nuke

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

22% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage1–13-0.049%25 Aug
mirage1–13-0.0411%22 Aug
nuke8–13-0.0217%17 Aug
nuke10–13-0.028%16 Aug
cache0–7-0.040%4 Aug
dust28–13-0.0933%4 Aug
nuke4–13-0.0713%4 Aug
fachwerk6–13-0.037%3 Aug
mirage3–13-0.1124%3 Aug
ancient13–11-0.035%2 Aug
inferno13–80.0117%2 Aug
nuke2–13-0.036%2 Aug
ancient2–13-0.108%31 Jul
dust21–13-0.0711%31 Jul
dust211–8-0.0914%30 Jul
nuke13–60.007%30 Jul
ancient8–13-0.0516%12 May
anubis13–11-0.077%12 May
inferno13–110.0615%11 May
dust213–110.0122%11 May
nuke13–00.0511%11 May
cache6–13-0.036%10 May
anubis13–8-0.054%10 May
nuke13–60.0619%10 May
mirage2–130.0514%10 May
dust25–130.0324%10 May
mirage4–13-0.0512%10 May
overpass1–4-0.070%10 May
nuke1–13-0.0411%10 May
ancient3–130.0522%10 May
inferno11–130.057%10 May
mirage12–160.0513%8 May
dust22–13-0.0413%8 May
ancient7–13-0.0813%8 May
cache13–110.0323%7 May
nuke10–13-0.108%7 May
inferno13–90.018%7 May
mirage13–10-0.0212%7 May
mirage2–13-0.089%6 May
inferno11–13-0.056%6 May
overpass1–13-0.027%6 May
inferno13–90.0212%6 May
cache12–120.023%6 May
nuke11–13-0.032%5 May
ancient2–13-0.145%5 May
office4–13-0.0110%22 Feb
dust28–13-0.050%28 Jan
anubis5–13-0.106%22 Jan
nuke1–13-0.1213%29 Dec
dust213–11-0.0211%29 Dec
train13–70.029%1 Aug
anubis13–40.007%1 Aug
nuke7–130.010%30 Jul
nuke11–13-0.0114%30 Jul
dust27–13-0.0612%30 Jul
nuke7–13-0.068%28 Jul
dust211–13-0.023%28 Jul
nuke6–9-0.103%28 Jul
train13–8-0.059%25 Jul
mirage13–80.0515%25 Jul
dust213–8-0.0117%25 Jul
nuke4–11-0.170%23 Jul
mirage11–13-0.057%23 Jul
mirage11–13-0.018%23 Jul
dust213–2-0.025%19 Jul
dust212–12-0.0214%10 Jul
train13–30.039%10 Jul
vertigo13–9-0.017%10 Jul
train13–3-0.019%10 Jul
mirage3–13-0.076%9 Jul
inferno13–8-0.015%18 May
jura13–4-0.098%18 May
train6–13-0.0711%18 May
mirage13–90.036%9 May
agency6–13-0.046%9 May
inferno3–10-0.0517%11 Mar
mirage5–13-0.0610%11 Mar
anubis13–11-0.0313%10 Mar
dust26–13-0.0119%10 Mar
overpass13–10-0.034%23 Feb
ancient8–13-0.0415%1 Jan
ancient13–50.028%1 Jan
inferno7–130.003%1 Jan
ancient12–120.027%25 Dec
inferno13–90.068%25 Dec
train13–90.016%22 Dec
dust28–13-0.0210%22 Dec
mirage13–110.020%11 Dec
dust24–13-0.0411%25 Jul
inferno5–9-0.157%25 Jul
dust29–13-0.108%24 Jul
thera6–130.0615%24 Jul
vertigo3–13-0.0210%24 Jul
dust29–13-0.046%22 Jul
mirage6–13-0.0211%22 Jul
overpass6–13-0.070%16 Jul
dust212–12-0.0318%16 Jul
nuke4–0-0.020%16 Jul
nuke3–13-0.063%4 Jul
inferno13–30.0711%3 Jul

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 →