Al-Farisi — CS2 Stats

76561199015159891[U:1:1054894163]

1,219Tracked matches73%Win rate2020Tracked since
1,881Hours in CS44Hrs last 2 wks
CSDB Rating5.9 SolidHybrid Rifler
Premier CS Rating22,545Top 50% of 819 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)
CSDB Leaderboard#4389 of 14598 tracked
FaceitLevel 8 · 1,202 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGAl-FarisiFACEITLevel 8 · 1,202 ELOSTANDINGTop 31.2% of rankedPREMIER22,545 · Pink bandcsdb.gg/stats

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Performance scores

Aim61
Positioning56
Utility58

0–100 skill scores via Leetify.

Recent form

HOT62353Last 10062%Win rateLWWWWWLWWW

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.1
Aggression7.2
Utility5.8
Positioning5.6
Opening Duels2.8
Clutch4.0

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Twistzz

Plays most like Twistzz 87% 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

Areas to improve

T-side openings. Opening success drops from 49% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 576ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim6.1
Positioning5.6
Utility5.8
Mechanics4.4
Opening Duels2.8
Win Impact10.0

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time582ms−27ms
first ⅓ avg 609ms → last ⅓ avg 582ms
Headshot accuracy21.9%+0.0%
first ⅓ avg 21.9% → last ⅓ avg 21.9%

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.

Highlights

0.13Best rating — inferno 13–10
131Biggest win — ancient
9Longest win streak
810In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 80% over 10anubisWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageS2518772%-0.00
dust2A23131057%0.01
infernoS1510567%0.03
ancientB136746%-0.01
nukeS108280%0.01
anubisC83538%-0.02
cacheS64267%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,440Lifetime kills
1.03K/D
2,712Matches
43.4%Match win rate
42.3%Headshot %
6.5%Shot accuracy
5,690MVPs
1,010Hours (in match)
2,119Bombs planted
597Bombs defused

Most-used weapons

Lifetime map wins

5,766dust2
3,967inferno
2,576nuke
666train
136vertigo
49office
23lake
18cbble

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

Faceit stats

Combat

472Matches
53%Win rate
1.06Avg K/D
78.8ADR
43%Headshot %

Clutches & streaks

40%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage8448%1.0515.6
Dust26751%1.0616.2
Ancient2966%1.1815.8
Nuke2152%1.0016.6
Anubis2167%1.0714.4
Inferno1675%1.2617.9
Overpass838%0.9618.4
Cache560%0.9615.8

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.

21.6%Headshot accuracy
31.0%Accuracy (enemy spotted)
29.8%Spray accuracy
69.8%Counter-strafing
8.5°Preaim
576msReaction time
33.3%T opening success
48.9%CT opening success
0.59Enemies flashed / flash
5.0%Flash assists
11.17HE damage / grenade
9.36Flashes / 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 33.3205% — below the 40% mark we flag

Spend your practice time on Anubis

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.048%27 Aug
mirage13–6-0.0218%27 Aug
dust213–20.1228%27 Aug
dust213–2-0.0223%27 Aug
cache13–9-0.0226%26 Aug
cache13–6-0.0120%26 Aug
inferno8–130.0623%25 Aug
inferno13–9-0.0318%25 Aug
inferno13–110.0525%25 Aug
dust213–10-0.0420%24 Aug
anubis13–30.0117%24 Aug
dust213–90.1323%24 Aug
nuke13–8-0.0014%23 Aug
inferno13–110.0416%22 Aug
inferno9–130.0128%22 Aug
inferno13–8-0.0118%22 Aug
mirage7–130.0229%22 Aug
mirage14–160.0526%22 Aug
mirage13–100.0119%21 Aug
ancient11–13-0.0121%21 Aug
inferno13–10-0.0123%20 Aug
mirage16–14-0.1025%17 Aug
dust29–130.0226%16 Aug
anubis13–10-0.0316%14 Aug
dust29–13-0.0416%13 Aug
mirage13–9-0.0124%12 Aug
mirage13–60.0415%12 Aug
dust213–100.0220%11 Aug
nuke13–110.0532%11 Aug
mirage13–90.0528%11 Aug
ancient13–70.0228%11 Aug
mirage13–80.0926%11 Aug
dust213–80.0525%11 Aug
anubis4–13-0.0621%11 Aug
ancient11–13-0.0026%11 Aug
dust213–16-0.0417%11 Aug
ancient13–60.0224%11 Aug
anubis11–13-0.0126%11 Aug
nuke9–13-0.0221%11 Aug
ancient8–13-0.0630%10 Aug
dust210–13-0.0324%10 Aug
dust22–13-0.0322%10 Aug
inferno11–130.0115%10 Aug
inferno9–13-0.0212%10 Aug
dust213–40.0118%9 Aug
dust215–150.0021%9 Aug
nuke13–70.0012%9 Aug
mirage13–4-0.0057%9 Aug
mirage9–13-0.0220%9 Aug
ancient14–16-0.0324%9 Aug
cache13–5-0.0510%9 Aug
ancient3–13-0.0810%8 Aug
dust215–15-0.0324%8 Aug
mirage13–7-0.0416%8 Aug
dust213–110.0218%7 Aug
anubis9–13-0.0214%7 Aug
mirage13–10-0.0518%7 Aug
cache13–160.0323%7 Aug
anubis9–130.0016%6 Aug
dust210–130.0114%6 Aug
inferno13–50.0527%6 Aug
nuke9–13-0.018%6 Aug
dust213–5-0.0327%6 Aug
inferno13–80.0726%6 Aug
mirage13–8-0.0114%5 Aug
mirage13–6-0.0228%5 Aug
cache7–13-0.0119%5 Aug
nuke13–60.0217%5 Aug
inferno13–10-0.0225%4 Aug
nuke13–50.0531%4 Aug
mirage14–160.0117%4 Aug
inferno13–70.0534%4 Aug
mirage13–11-0.0515%3 Aug
mirage13–100.0026%3 Aug
nuke13–100.0420%3 Aug
anubis13–10-0.0216%3 Aug
mirage13–60.0130%2 Aug
ancient13–11-0.0415%2 Aug
nuke13–30.0117%2 Aug
cache16–13-0.089%2 Aug
mirage14–160.0218%2 Aug
anubis7–13-0.0511%2 Aug
dust216–120.0616%1 Aug
dust211–13-0.0032%1 Aug
mirage10–30.0117%1 Aug
mirage5–13-0.0726%1 Aug
inferno13–100.1326%1 Aug
ancient15–150.0010%1 Aug
inferno13–160.0221%31 Jul
ancient13–70.0227%31 Jul
nuke13–10-0.0332%31 Jul
dust216–140.0424%31 Jul
mirage13–50.0945%31 Jul
ancient13–10.0517%31 Jul
ancient13–100.0115%30 Jul
dust26–130.0226%27 Jul
mirage13–8-0.0621%26 Jul
mirage13–160.0115%26 Jul
dust213–90.0117%26 Jul
dust213–90.0636%26 Jul

Match data via Leetify.

Milestones

1,000 Matches
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