Abū Ḥanīfa Dīnawarī

Abū Ḥanīfa Dīnawarī — CS2 Stats

CC76561198122704797[U:1:162439069]Steam profile ↗✓ No bans

1,189Tracked matches37%Win rate2020Tracked since
4,169Hours in CS3Hrs last 2 wks
CSDB Rating4.5 DevelopingSupport
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (28 days ago). Ranks are recorded once per day this page is viewed.

+5Tracked matches · now 1,189
+3.3ppWin rate · 33.3% → 36.7%

Rating over time

Premier CS Rating: 13,384 -1,089 14 Aug – 17 Jan · 29 days played
9,39614,928peak 14,92814 Aug17 Jan
14,999Peak Premier in tracked matches
55Days played since 2025-08-13

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches9——
Win rate56%——
K/D0.74——
Headshot %43%——

Measured 14 Sep 2026 → 12 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

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.

Performance scores

Aim43
Positioning49
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY42–56–2Last 10042%Win rateLWWLWWLLLW

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · +3.7pp headshot accuracy · +62ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 627ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 729ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 698ms

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 (+1.3 against its own average).

Aim4.3
Utility5.8
Positioning4.9
Opening Duels4.4
Clutch2.8

Strong CT-side openerLimited 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

m0NESY

Plays most like m0NESY 68% 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

T-side openings. Opening success drops from 57% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 703ms 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

Aim4.3
Positioning4.9
Utility5.8
Mechanics6.4
Opening Duels3.4
Win Impact0.6

Composite 4.5/10 (Developing), 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-0.02−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time709ms−21ms
first ⅓ avg 730ms → last ⅓ avg 709ms
Headshot accuracy16.9%+1.6%
first ⅓ avg 15.3% → last ⅓ avg 16.9%

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.

Personal bests

0.08Best match rating · 9–13 · dust2, 8 Feb →
32%Best headshot accuracy · 7–2 · dust2, 8 Oct →
484msFastest reaction time · 16–14 · ancient, 11 Oct →
13–2Biggest win · dust2, 25 Dec →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–11In matches decided by ≤2 rounds
6Overtime games

Map breakdown

overpassBest map · 73% over 15nukeWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2D3512–2334%-0.02
infernoC167–944%-0.03
overpassS1511–473%-0.01
nukeD113–827%-0.02
ancientA74–357%-0.01
trainC52–340%-0.02
anubis—41–325%-0.05
cache—20–20%-0.02
mirage—21–150%-0.00
warden—10–10%-0.01
palacio—11–0100%-0.02
golden—10–10%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

94,044Lifetime kills
1.02K/D · Top 50% of tracked players
4,361Matches
44.6%Match win rate
43.5%Headshot % · Top 50% of tracked players
13.1%Shot accuracy · Top 50% of tracked players
11,054MVPs
1,964Hours (in match)
4,100Bombs planted
1,323Bombs defused

Most-used weapons

AK-4724,326
AWP12,545
P903,855
P2503,546
UMP-452,578

Lifetime map wins

20,043dust2
4,181inferno
2,473train
2,425nuke
1,350cbble
624vertigo
154office
115aztec

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

Faceit stats

Combat

303Matches
47%Win rate
0.96Avg K/D
67.3ADR
35%Headshot %

Clutches & streaks

34%1v1 clutch win
9%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno2945%0.8612.9
Dust22458%0.9214.9
Anubis1844%0.7911.7
Ancient1833%0.6611.6
Overpass922%0.8112.4
Nuke729%0.7313.3
Mirage729%0.7011.1
Train333%0.6113.3

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.

16.5%Headshot accuracy
30.2%Accuracy (enemy spotted)
27.6%Spray accuracy
79.0%Counter-strafing
9.4°Preaim
703msReaction time
28.0%T opening success
57.1%CT opening success
0.60Enemies flashed / flash
7.3%Flash assists
11.14HE damage / grenade
4.78Flashes / 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 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 703.3723ms — above the 700ms mark we flag

    Aim Training →
  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 27.9749% — below the 40% mark we flag

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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient8–13-0.0610%11 Oct →
ancient16–14-0.0213%11 Oct →
dust27–2-0.0132%8 Oct →
dust27–13-0.0217%19 Sept →
anubis13–4-0.0317%19 Sept →
overpass13–4-0.085%26 Aug →
cache9–13-0.0219%8 Aug →
cache3–13-0.0214%7 May →
warden9–13-0.0131%28 Apr →
overpass13–40.0226%10 Apr →
dust28–13-0.0220%9 Mar →
dust25–13-0.0117%9 Mar →
inferno4–13-0.0511%2 Mar →
dust210–13-0.0217%2 Mar →
mirage13–40.0111%24 Feb →
dust26–13-0.0711%14 Feb →
dust23–13-0.107%14 Feb →
dust27–13-0.0120%8 Feb →
dust29–130.0817%8 Feb →
inferno13–5-0.0219%31 Jan →
inferno16–14-0.0711%28 Jan →
overpass8–130.0411%28 Jan →
nuke13–10-0.0124%28 Jan →
inferno3–13-0.075%25 Jan →
dust211–13-0.0222%25 Jan →
anubis4–13-0.097%25 Jan →
nuke5–130.0022%25 Jan →
overpass13–6-0.0218%22 Jan →
inferno13–110.0422%17 Jan →
mirage4–13-0.0123%13 Jan →
dust210–13-0.0722%13 Jan →
inferno13–9-0.0420%12 Jan →
nuke13–70.0619%11 Jan →
train7–13-0.0223%2 Jan →
inferno1–13-0.0713%30 Dec →
dust213–9-0.0920%30 Dec →
nuke10–13-0.0215%30 Dec →
dust213–7-0.009%30 Dec →
ancient13–6-0.0224%30 Dec →
overpass13–10-0.0413%30 Dec →
inferno13–10-0.1015%30 Dec →
ancient9–130.0116%29 Dec →
dust213–10-0.0724%25 Dec →
dust213–2-0.0122%25 Dec →
dust25–13-0.0422%25 Dec →
inferno10–130.0017%16 Dec →
ancient13–110.0414%16 Dec →
nuke10–13-0.0516%9 Dec →
inferno13–30.0131%9 Dec →
dust28–130.0012%9 Dec →
overpass13–6-0.0713%5 Dec →
overpass13–90.0622%4 Dec →
train13–80.0429%3 Dec →
overpass13–11-0.0413%29 Nov →
dust29–13-0.0618%27 Nov →
nuke13–100.0210%26 Nov →
overpass11–130.0416%24 Nov →
dust213–7-0.0217%20 Nov →
dust213–7-0.0318%26 Oct →
anubis5–13-0.0515%19 Oct →
overpass13–60.0715%14 Oct →
dust25–13-0.0912%14 Oct →
dust25–13-0.0614%14 Oct →
train6–13-0.0419%13 Oct →
ancient11–13-0.0216%13 Oct →
inferno11–13-0.0311%13 Oct →
dust213–70.0320%9 Oct →
dust211–130.0113%9 Oct →
inferno6–13-0.0121%8 Oct →
nuke11–13-0.0715%8 Oct →
inferno9–130.0417%8 Oct →
nuke14–16-0.037%8 Oct →
dust25–130.0212%8 Oct →
nuke11–13-0.0418%7 Oct →
dust27–13-0.0328%7 Oct →
dust213–16-0.0219%7 Oct →
train16–13-0.0412%6 Oct →
palacio13–4-0.0219%3 Oct →
golden11–13-0.056%3 Oct →
overpass13–9-0.039%28 Sept →
overpass12–12-0.055%26 Sept →
overpass13–30.0123%26 Sept →
dust29–13-0.0320%26 Sept →
dust210–13-0.0312%24 Sept →
inferno13–4-0.0122%24 Sept →
anubis12–12-0.030%24 Sept →
inferno3–13-0.0417%25 Aug →
train9–13-0.0315%24 Aug →
nuke14–16-0.0413%21 Aug →
inferno7–13-0.0221%20 Aug →
dust213–5-0.0022%20 Aug →
ancient13–7-0.032%19 Aug →
dust213–50.0526%17 Aug →
dust28–13-0.0014%14 Aug →
dust213–60.0618%14 Aug →
nuke11–13-0.0326%14 Aug →
dust210–130.0121%13 Aug →
overpass4–130.0612%13 Aug →
overpass13–5-0.078%13 Aug →
dust213–10-0.0113%13 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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