Arafaat el-Sadat

Arafaat el-Sadat — CS2 Stats

PK76561199176779843[U:1:1216514115]Steam profile ↗✓ No bans

254Tracked matches41%Win rate2021Tracked since
211Hours in CS
CSDB Rating5.6 SolidPositional Player
Premier CS Rating20,632Top 50% of 215,558 CSDB-tracked playersPink band · top ~7.8% of ranked players (population est.)
CSDB Leaderboard#75478 of 261651 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 254 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,632 +5,782 1 Oct – 1 Oct · 16 days played
14,85020,632peak 20,6321 Oct1 Oct
20,632Peak Premier in tracked matches
31Days played since 2024-10-01

Premier CS Rating

  • At peak — 20,632
  • Next: Red band at 25,000 — 4,368 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-24
  • Purple band first seen 2026-09-24

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

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=42,632), 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 playerPink band medianRed band medianvs Red band
Headshot rate49.7%46.9%49.3%meets
Shot accuracy11.1%13.0%13.3%2.2% short
Kill/death ratio1.331.081.12above
Match win rate44.2%46.7%48.5%4.4% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGArafaat el-SadatPREMIER20,632 · Pink bandcsdb.gg/stats

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Performance scores

Aim74
Positioning58
Utility24

0–100 skill scores via Leetify.

Recent form

COLD49–43–8Last 10049%Win rateLTLTWLLLLL

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +0.4pp headshot accuracy · −51ms reaction

Win rate down 20pp 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–2–2 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 569ms

Last 10

  • 1–7–2 · 10% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 550ms

Last 20

  • 4–13–3 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 576ms

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 Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim7.4
Utility2.4
Positioning5.8
Opening Duels3.7

Effective flashes

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

donk

Plays most like donk 89% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

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

Reaction time. 584ms 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

Aim7.4
Positioning5.8
Utility2.4
Mechanics8.4
Opening Duels2.8
Win Impact1.9

Composite 5.6/10 (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 rating-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time579ms−67ms
first ⅓ avg 646ms → last ⅓ avg 579ms
Headshot accuracy16.9%−1.8%
first ⅓ avg 18.7% → 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

0.23Best match rating · 9–2 · inferno, 15 Oct →
36%Best headshot accuracy · 3–13 · jura, 13 Jun →
391msFastest reaction time · 0–13 · inferno, 10 Oct →
13–0Biggest win · ancient, 9 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
10–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 75% over 8dust2Weakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC166–1038%0.00
nukeB168–850%0.03
ancientB158–753%-0.01
infernoB126–650%0.01
vertigoS96–367%0.01
anubisS86–275%0.03
dust2D72–529%0.00
italy—41–325%0.06
train—42–250%0.01
overpass—32–167%0.02
cache—20–20%0.05
agency—10–10%-0.01
jura—10–10%-0.01
thera—11–0100%-0.05
office—11–0100%0.18

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,157Lifetime kills
1.33K/D · Top 25% of Pink band
541Matches
44.2%Match win rate
49.7%Headshot % · Top 50% of Pink band
11.1%Shot accuracy
1,698MVPs
211Hours (in match)
538Bombs planted
93Bombs defused

Most-used weapons

Lifetime map wins

2,302nuke
581vertigo
452dust2
329inferno
47train
43italy
26cbble
22office

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

Skill profile

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

17.1%Headshot accuracy
35.0%Accuracy (enemy spotted)
36.2%Spray accuracy
87.7%Counter-strafing
9.9°Preaim
584msReaction time
40.1%T opening success
41.9%CT opening success
0.76Enemies flashed / flash
9.2%Flash assists
9.52HE damage / grenade
7.71Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–130.0917%29 Apr →
cache12–120.0116%29 Apr →
italy8–130.0122%3 Dec →
mirage12–12-0.0215%3 Dec →
ancient13–30.0612%26 Jun →
dust28–13-0.0719%26 Jun →
mirage14–16-0.0513%18 Jun →
train8–130.0116%18 Jun →
anubis12–160.0116%18 Jun →
mirage7–130.0122%18 Jun →
overpass12–120.0212%17 Jun →
ancient13–11-0.0029%17 Jun →
ancient8–130.0127%17 Jun →
ancient8–13-0.0413%17 Jun →
ancient7–13-0.078%16 Jun →
anubis13–70.0525%16 Jun →
inferno5–13-0.095%15 Jun →
ancient7–13-0.0712%15 Jun →
anubis13–60.0417%15 Jun →
mirage10–13-0.0214%14 Jun →
train13–40.0112%14 Jun →
train13–70.0123%14 Jun →
mirage13–110.0211%14 Jun →
mirage13–20.0422%14 Jun →
ancient2–13-0.069%14 Jun →
agency6–13-0.0122%13 Jun →
jura3–13-0.0136%13 Jun →
italy13–30.1331%10 Jun →
ancient13–11-0.0212%10 Jun →
nuke6–4-0.0412%10 Jun →
nuke13–90.0211%26 Mar →
ancient11–13-0.0416%18 Mar →
inferno13–7-0.0116%18 Mar →
nuke9–130.0318%6 Mar →
inferno4–130.0519%6 Mar →
train3–130.0225%6 Feb →
dust211–130.0319%6 Feb →
vertigo0–2-0.050%6 Feb →
nuke12–120.0412%1 Feb →
anubis13–60.016%17 Jan →
nuke13–6-0.0221%21 Oct →
vertigo13–11-0.0212%21 Oct →
overpass9–30.0515%15 Oct →
inferno9–20.237%15 Oct →
nuke9–40.2116%15 Oct →
ancient16–13-0.0215%14 Oct →
ancient13–7-0.0310%14 Oct →
nuke9–130.0416%14 Oct →
anubis9–13-0.0118%14 Oct →
mirage8–13-0.0813%13 Oct →
nuke13–50.0615%13 Oct →
mirage5–13-0.0818%13 Oct →
vertigo13–10.0630%13 Oct →
dust213–90.0318%12 Oct →
mirage13–60.1318%12 Oct →
vertigo13–10-0.0211%12 Oct →
mirage11–130.1013%10 Oct →
vertigo15–150.0019%10 Oct →
inferno0–13-0.1117%10 Oct →
ancient6–13-0.0324%9 Oct →
dust213–50.0526%9 Oct →
nuke7–13-0.0119%9 Oct →
ancient13–80.0021%9 Oct →
ancient13–00.0825%9 Oct →
dust211–13-0.0020%8 Oct →
mirage7–130.0519%8 Oct →
mirage13–100.0425%8 Oct →
mirage16–12-0.0410%8 Oct →
vertigo10–13-0.0221%7 Oct →
nuke8–130.0223%7 Oct →
vertigo13–100.0820%6 Oct →
inferno7–13-0.0315%6 Oct →
inferno13–90.0016%6 Oct →
nuke16–130.0625%6 Oct →
nuke12–120.1225%6 Oct →
inferno5–9-0.0014%6 Oct →
inferno13–20.1026%6 Oct →
dust212–120.0322%5 Oct →
overpass13–5-0.0124%5 Oct →
inferno9–70.0817%5 Oct →
mirage13–60.0827%4 Oct →
anubis13–110.0425%4 Oct →
vertigo13–80.0111%4 Oct →
nuke6–13-0.0319%4 Oct →
anubis16–120.0114%4 Oct →
nuke13–11-0.0314%3 Oct →
thera13–11-0.058%3 Oct →
italy10–130.0913%3 Oct →
office13–10.1825%3 Oct →
ancient13–110.0525%3 Oct →
italy12–120.0321%3 Oct →
mirage5–13-0.0315%3 Oct →
dust27–13-0.0519%3 Oct →
inferno7–13-0.0322%2 Oct →
vertigo11–20.0617%2 Oct →
nuke13–20.1119%2 Oct →
anubis13–60.0612%2 Oct →
nuke7–13-0.0828%2 Oct →
mirage5–13-0.0810%1 Oct →
inferno13–5-0.0419%1 Oct →

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 →

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