mehdi

mehdi — CS2 Stats

76561198026995477[U:1:66729749]Steam profile ↗✓ No bans

3,698Tracked matches48%Win rate2022Tracked since
3,074Hours in CS
CSDB Rating6.6 SolidSupport
Premier CS Rating25,301Top 10% of 212,379 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)
CSDB Leaderboard#18949 of 259368 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−46Premier CS Rating · 25,347 → 25,301

Rating over time

Premier CS Rating: 25,301 +301 31 Aug – 1 Nov · 27 days played
23,12827,145peak 27,14531 Aug1 Nov
27,443Peak Premier in tracked matches
23Days played since 2026-08-31

Premier CS Rating

  • 1,844 below peak (27,145)
  • +1,243 over 30 days · improving
  • Next: Gold band at 30,000 — 4,699 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-31
  • Pink band first seen 2026-08-31

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 Level 8 among CSDB-tracked players (n=15,525), 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 playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate41.9%46.8%48.2%6.4% short
Shot accuracy8.7%13.0%13.2%4.5% short
Kill/death ratio0.931.061.070.15 short
Match win rate44.5%46.3%46.9%2.4% short

This profile sits below the typical Level 9 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGmehdiFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER25,301 · Red bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim82
Positioning58
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateLWLLWLWLLW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −1.5pp headshot accuracy · +24ms reaction

Win rate down 30pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 470ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 499ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 486ms

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 (+1.7 against its own average).

Aim8.2
Utility6.1
Positioning5.8
Opening Duels2.0
Clutch3.6

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

b1t

Plays most like b1t 89% playstyle similarity

Most alike: utility contribution, positioning 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

Strengths

Flashes. 0.84 enemies blinded per flash — utility that consistently lands.

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

Aim8.2
Positioning5.8
Utility6.1
Mechanics6.4
Opening Duels3.5
Win Impact4.4

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time495ms−6ms
first ⅓ avg 502ms → last ⅓ avg 495ms
Headshot accuracy18.9%−0.0%
first ⅓ avg 18.9% → last ⅓ avg 18.9%

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

0.14Best match rating · 13–8 · inferno, 19 Oct →
32%Best headshot accuracy · 13–9 · cache, 31 Oct →
328msFastest reaction time · 13–2 · dust2, 17 Oct →
13–1Biggest win · anubis, 18 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 75% over 8nukeWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
anubisB199–1047%-0.01
dust2S1812–667%0.01
mirageA1610–663%-0.01
infernoC167–944%0.01
ancientA127–558%-0.02
nukeD112–918%-0.02
cacheS86–275%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

130,514Lifetime kills
0.93K/D
7,505Matches
44.5%Match win rate
41.9%Headshot %
8.7%Shot accuracy
14,763MVPs
3,074Hours (in match)
9,221Bombs planted
1,923Bombs defused

Most-used weapons

AK-4731,187
AWP13,852
UMP-453,776
P903,685
XM10143,525
MAC-103,497
Tec-93,108

Lifetime map wins

25,512dust2
14,543inferno
6,351nuke
1,423train
915vertigo
91cbble
58aztec
52dust

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

Faceit stats

Combat

109Matches
56%Win rate
1.12Avg K/D
84.1ADR
45%Headshot %

Clutches & streaks

38%1v1 clutch win
27%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient2770%1.1517.6
Inferno2568%1.2216.0
Anubis1947%1.1415.3
Nuke1560%1.1816.5
Mirage1136%1.0114.9
Dust2540%0.619.8
Cache425%0.9616.0
Vertigo10%1.1218.0

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.

19.0%Headshot accuracy
34.2%Accuracy (enemy spotted)
40.7%Spray accuracy
78.6%Counter-strafing
8.9°Preaim
491msReaction time
49.3%T opening success
38.3%CT opening success
0.84Enemies flashed / flash
2.2%Flash assists
8.41HE damage / grenade
5.34Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.3125% — 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.

18% 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
nuke11–13-0.0315%1 Nov →
cache13–10-0.0320%1 Nov →
mirage11–13-0.0318%31 Oct →
nuke3–13-0.0217%31 Oct →
anubis13–9-0.0014%31 Oct →
nuke9–13-0.0115%31 Oct →
nuke13–9-0.0225%31 Oct →
inferno8–130.0213%31 Oct →
mirage7–13-0.0514%31 Oct →
cache13–9-0.0132%31 Oct →
mirage15–15-0.0419%30 Oct →
ancient13–10-0.0519%30 Oct →
mirage13–10-0.0329%30 Oct →
mirage16–140.0218%30 Oct →
cache13–30.1129%30 Oct →
inferno13–110.0321%29 Oct →
ancient13–10-0.0413%29 Oct →
ancient7–13-0.0019%28 Oct →
anubis13–6-0.0110%28 Oct →
dust27–13-0.0921%28 Oct →
anubis13–70.1017%28 Oct →
dust29–130.0123%27 Oct →
inferno11–130.0112%27 Oct →
anubis5–13-0.0815%26 Oct →
ancient8–13-0.0325%26 Oct →
inferno8–13-0.0322%26 Oct →
dust28–13-0.0121%24 Oct →
anubis13–110.0121%23 Oct →
mirage3–13-0.0713%23 Oct →
dust213–70.0523%22 Oct →
anubis7–13-0.0114%22 Oct →
nuke13–8-0.0322%22 Oct →
mirage9–13-0.0120%22 Oct →
dust213–30.0623%22 Oct →
inferno8–13-0.0322%22 Oct →
inferno6–13-0.0022%21 Oct →
anubis13–11-0.0418%21 Oct →
inferno9–130.0124%21 Oct →
cache9–130.0030%21 Oct →
cache5–13-0.0012%21 Oct →
anubis14–16-0.0520%20 Oct →
inferno6–130.0125%20 Oct →
inferno13–70.0623%20 Oct →
dust213–11-0.0118%20 Oct →
mirage13–40.1110%20 Oct →
anubis8–13-0.0020%20 Oct →
anubis13–9-0.0314%19 Oct →
inferno13–8-0.0223%19 Oct →
dust26–20.0314%19 Oct →
inferno8–130.0114%19 Oct →
mirage16–14-0.0215%19 Oct →
inferno9–1-0.057%19 Oct →
inferno13–80.1427%19 Oct →
mirage13–7-0.0121%19 Oct →
ancient16–13-0.0212%19 Oct →
ancient13–16-0.0519%19 Oct →
nuke10–13-0.0220%18 Oct →
anubis13–10.0726%18 Oct →
ancient13–90.0119%18 Oct →
anubis13–10-0.0222%18 Oct →
dust26–13-0.0317%18 Oct →
nuke3–13-0.0326%18 Oct →
mirage3–13-0.0428%18 Oct →
anubis11–13-0.0322%17 Oct →
cache13–50.0514%17 Oct →
ancient11–130.0113%17 Oct →
cache13–8-0.0322%17 Oct →
dust213–20.0223%17 Oct →
inferno13–50.0524%17 Oct →
mirage13–90.0022%16 Oct →
anubis13–80.0822%16 Oct →
ancient13–11-0.0117%16 Oct →
anubis1–13-0.0924%15 Oct →
dust213–80.0829%15 Oct →
cache13–80.0622%15 Oct →
inferno13–60.0416%15 Oct →
anubis10–130.0019%15 Oct →
ancient11–13-0.0515%14 Oct →
dust211–13-0.0320%14 Oct →
dust213–70.0128%14 Oct →
anubis9–13-0.0118%14 Oct →
dust213–16-0.0116%13 Oct →
nuke9–13-0.0111%13 Oct →
nuke5–13-0.0622%13 Oct →
dust213–50.0223%13 Oct →
mirage13–2-0.0119%13 Oct →
mirage16–14-0.008%12 Oct →
mirage13–60.0718%12 Oct →
inferno4–13-0.049%12 Oct →
anubis10–13-0.0318%10 Oct →
dust213–70.0316%10 Oct →
ancient13–90.0419%10 Oct →
dust216–140.0022%10 Oct →
dust213–11-0.0111%10 Oct →
mirage13–5-0.0413%9 Oct →
anubis8–13-0.0127%9 Oct →
nuke5–130.0422%8 Oct →
dust216–12-0.0117%8 Oct →
ancient13–9-0.0320%8 Oct →
nuke13–16-0.0416%8 Oct →

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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