mortadaamiri95

mortadaamiri95 — CS2 Stats

NO76561199251959415[U:1:1291693687]Steam profile ↗✓ No bans

295Tracked matches67%Win rate2024Tracked since
CSDB Rating5.5 SolidPositional Player
Ladder ranks via Leetify
Track this profile

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

Aim63
Positioning58
Utility20

0–100 skill scores via Leetify.

Recent form

HOT6139Last 10061%Win rateWWWWWWWLLL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −0.8pp headshot accuracy · −51ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 50 · 100% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 553ms

Last 10

  • 73 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 574ms

Last 20

  • 137 · 65% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 599ms

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 (+2.2 against its own average).

Aim6.3
Utility2.0
Positioning5.8
Opening Duels3.0
Clutch3.6

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

s1mple

Plays most like s1mple 84% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 49% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 617ms 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

Aim6.3
Positioning5.8
Utility2.0
Mechanics5.8
Opening Duels2.5
Win Impact10.0

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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time621ms+25ms
first ⅓ avg 596ms → last ⅓ avg 621ms
Headshot accuracy15.4%+3.0%
first ⅓ avg 12.4% → last ⅓ avg 15.4%

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

0.12Best match rating · 13–1 · nuke, 18 May
29%Best headshot accuracy · 13–4 · ancient, 2 Jun
406msFastest reaction time · 7–13 · cache, 14 Jun
13–1Biggest win · dust2, 31 May

Across the last 100 tracked matches.

Highlights

7Longest win streak
W7Current streak
75In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 71% over 17nukeWeakest map · 55% over 20
MapGradePlayedRecordWin rateAvg rating
ancientS2316770%0.01
nukeA2011955%0.00
dust2S1712571%-0.02
cacheA159660%0.02
infernoS139469%0.01
mirage4040%-0.03
overpass32167%-0.05
anubis31233%-0.01
train21150%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (55% over 20). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

291Matches
55%Win rate
1.01Avg K/D
75.5ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient6865%1.0214.5
Dust26255%0.9814.0
Nuke6053%1.0315.3
Inferno4052%1.0514.3
Mirage1729%0.8811.9
Cache1662%1.1716.1
Anubis1354%0.8913.2
Train757%1.3913.9

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.

15.3%Headshot accuracy
34.7%Accuracy (enemy spotted)
37.2%Spray accuracy
76.3%Counter-strafing
9.3°Preaim
617msReaction time
31.2%T opening success
48.7%CT opening success
0.15Enemies flashed / flash
3.6%Flash assists
8.12HE damage / grenade
1.65Flashes / 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

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

    Enemies flashed per flash 0.1481 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 31.1612% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
nuke13–9-0.0418%12 Aug
ancient13–50.0414%11 Aug
nuke13–8-0.018%11 Aug
ancient13–110.0719%11 Aug
ancient19–16-0.0318%1 Aug
dust213–8-0.0123%1 Aug
dust213–8-0.0320%29 Jul
nuke8–13-0.017%25 Jul
dust25–13-0.0520%25 Jul
ancient9–13-0.0310%23 Jul
cache13–60.0317%23 Jul
ancient13–9-0.0116%23 Jul
cache13–50.0215%23 Jul
ancient10–130.0323%23 Jul
ancient13–50.1120%23 Jul
nuke23–250.0111%22 Jul
dust213–50.0118%18 Jul
nuke3–13-0.028%18 Jul
inferno13–30.0216%3 Jul
cache6–13-0.0919%2 Jul
overpass6–13-0.0611%2 Jul
dust213–11-0.0214%1 Jul
cache13–80.0115%1 Jul
nuke8–13-0.0115%30 Jun
cache13–60.0917%30 Jun
cache13–70.0513%30 Jun
inferno13–90.049%29 Jun
ancient13–50.0715%29 Jun
overpass16–140.0213%28 Jun
dust213–160.0320%28 Jun
cache8–130.0211%28 Jun
inferno5–13-0.1013%28 Jun
cache13–7-0.0322%27 Jun
nuke13–20.0219%27 Jun
nuke8–13-0.039%27 Jun
ancient10–13-0.0510%24 Jun
cache13–11-0.019%24 Jun
nuke13–11-0.0413%22 Jun
inferno5–13-0.0317%22 Jun
anubis5–13-0.0321%22 Jun
dust213–10-0.0318%21 Jun
nuke13–9-0.0520%20 Jun
ancient13–7-0.009%20 Jun
nuke13–40.0419%19 Jun
cache20–220.017%19 Jun
ancient13–50.1013%19 Jun
ancient13–100.047%19 Jun
mirage0–12-0.049%18 Jun
dust213–7-0.0310%18 Jun
inferno13–50.0214%16 Jun
dust25–13-0.0111%16 Jun
ancient10–13-0.036%15 Jun
overpass13–7-0.105%15 Jun
cache7–130.0116%14 Jun
nuke13–2-0.0223%14 Jun
anubis3–13-0.017%13 Jun
inferno13–50.0122%10 Jun
ancient8–13-0.097%10 Jun
dust213–2-0.0111%9 Jun
inferno10–130.0414%7 Jun
nuke7–13-0.119%6 Jun
dust213–90.017%6 Jun
inferno13–9-0.028%5 Jun
inferno13–30.0221%3 Jun
nuke7–130.019%2 Jun
ancient13–40.0429%2 Jun
anubis13–90.028%31 May
nuke13–60.0413%31 May
dust213–10.0220%31 May
dust213–2-0.0916%31 May
dust210–13-0.0611%29 May
mirage8–13-0.065%29 May
ancient13–7-0.008%28 May
cache9–13-0.0013%28 May
inferno14–16-0.0011%27 May
nuke13–60.0810%26 May
inferno13–20.036%26 May
ancient13–16-0.0112%25 May
mirage6–13-0.0110%25 May
mirage7–13-0.0110%25 May
dust213–90.0416%23 May
cache13–90.048%23 May
cache13–50.103%23 May
ancient13–8-0.106%23 May
ancient7–13-0.0017%20 May
ancient13–50.0217%20 May
dust22–130.0318%20 May
nuke10–130.0216%20 May
inferno13–70.056%20 May
nuke11–13-0.0113%19 May
cache11–130.0718%18 May
nuke13–10.1211%18 May
ancient13–8-0.0211%18 May
inferno13–110.0313%16 May
ancient13–9-0.0113%21 Aug
train5–13-0.0012%20 Aug
ancient13–80.0416%16 Aug
train13–80.0216%16 Aug
nuke13–60.0114%15 Aug
dust216–14-0.0422%12 Aug

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 →