ZOHRAN MAMDANI

ZOHRAN MAMDANI — CS2 Stats

LB76561198340782720[U:1:380516992]Steam profile ↗✓ No bans

785Tracked matches40%Win rate2021Tracked since
4,928Hours in CS8Hrs last 2 wks
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating12,346Blue band · top ~42.5% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 785 tracked matches. Play, then come back: the next observation lands here.

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. 34 days played since 16 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 12,346 -221 16 Jun15 Sept · 31 days played
9,89716,431peak 16,43116 Jun15 Sept
16,708Peak Premier in tracked matches
34Days played since 2026-06-16

Premier CS Rating

  • 4,085 below peak (16,431)
  • -3,297 over 30 days · declining
  • -221 over 90 days
  • Next: Purple band at 15,000 2,654 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-03
  • Light Blue band first seen 2026-09-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches28−6
Win rate50%50%0pp
K/D0.801.04−0.24
Headshot %57%47%+10pp

Measured 9 Sep 202617 Sep 2026; previous 3 Sep 2026 → 9 Sep 2026.

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.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=11,606), 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 5 medianLevel 6 medianvs Level 6
Headshot rate43.5%43.8%44.9%1.4% short
Shot accuracy15.6%12.0%12.4%above
Kill/death ratio1.041.021.04meets
Match win rate43.2%44.7%45.3%2.1% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGZOHRAN MAMDANIFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER12,346 · Blue 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

Aim74
Positioning56
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY45514Last 10045%Win rateLWWLLLLWWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +1.4pp headshot accuracy · +60ms 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

  • 23 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 646ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 657ms

Last 20

  • 911 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 627ms

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 (+1.8 against its own average).

Aim7.4
Utility4.1
Positioning5.6
Opening Duels4.7
Clutch1.0

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

donk

Plays most like donk 95% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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.

Reaction time. 624ms 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
Positioning5.6
Utility4.1
Mechanics8.4
Opening Duels3.2
Win Impact1.7

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time616ms−1ms
first ⅓ avg 617ms → last ⅓ avg 616ms
Headshot accuracy17.8%−0.5%
first ⅓ avg 18.3% → last ⅓ avg 17.8%

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

0.13Best match rating · 9–5 · mirage, 23 Aug
36%Best headshot accuracy · 2–11 · inferno, 29 Aug
438msFastest reaction time · 5–13 · inferno, 21 Jun
13–1Biggest win · anubis, 16 Jun

Across the last 100 tracked matches.

Highlights

7Longest win streak
35In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 56% over 18nukeWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB31161552%0.00
infernoA1810856%0.00
dust2C1661038%0.00
cacheC156940%0.01
anubisB84450%-0.01
ancientB63350%0.00
nukeD5050%-0.05
overpass1010%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,224Lifetime kills
1.04K/D · Top 50% of Level 5 players
2,410Matches
43.2%Match win rate
43.5%Headshot %
15.6%Shot accuracy · Top 25% of Level 5 players
5,832MVPs
996Hours (in match)
2,186Bombs planted
579Bombs defused

Most-used weapons

AK-4716,181
AWP7,470
FAMAS1,262
UMP-451,038
P2501,033

Lifetime map wins

3,181inferno
2,903dust2
1,495train
454nuke
311cbble
189vertigo
103bank
89lake

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

Faceit stats

Combat

265Matches
49%Win rate
0.94Avg K/D
58.9ADR
43%Headshot %

Clutches & streaks

25%1v1 clutch win
17%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage520%0.609.8
Ancient450%0.427.8
Train333%0.5810.7
Nuke333%0.559.3
Inferno333%0.8214.7
Dust220%0.5710.5

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.

18.4%Headshot accuracy
35.6%Accuracy (enemy spotted)
35.7%Spray accuracy
87.8%Counter-strafing
9.4°Preaim
624msReaction time
38.6%T opening success
47.1%CT opening success
0.53Enemies flashed / flash
2.7%Flash assists
11.77HE damage / grenade
2.67Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.6661 — below the 4 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 38.5523% — 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis4–13-0.0321%9 Sept
inferno13–50.0117%7 Sept
dust213–60.0625%7 Sept
nuke0–8-0.120%6 Sept
mirage12–16-0.0620%6 Sept
dust28–130.0019%6 Sept
dust26–13-0.0320%6 Sept
mirage16–13-0.0411%2 Sept
inferno13–5-0.0118%2 Sept
dust29–13-0.0224%2 Sept
cache7–13-0.0619%1 Sept
ancient11–130.0219%31 Aug
cache13–100.0315%30 Aug
mirage13–40.0714%30 Aug
mirage7–13-0.0119%30 Aug
dust28–130.0318%30 Aug
ancient13–9-0.0625%30 Aug
cache13–5-0.0310%30 Aug
inferno10–130.0016%30 Aug
anubis13–30.006%30 Aug
mirage10–13-0.0014%29 Aug
inferno2–110.0836%29 Aug
mirage8–13-0.0525%29 Aug
anubis13–6-0.0216%29 Aug
mirage13–10-0.0512%28 Aug
inferno4–13-0.0719%28 Aug
mirage13–11-0.0214%27 Aug
inferno9–130.0324%27 Aug
cache2–13-0.0136%24 Aug
cache10–13-0.0020%23 Aug
dust27–13-0.0112%23 Aug
mirage13–40.0310%23 Aug
dust213–11-0.0211%23 Aug
dust27–130.0318%23 Aug
mirage13–9-0.0120%23 Aug
dust27–130.0127%23 Aug
cache5–130.0613%23 Aug
mirage9–50.1326%23 Aug
mirage13–10-0.0121%23 Aug
inferno13–6-0.0212%23 Aug
mirage7–13-0.0317%20 Aug
mirage10–130.0217%20 Aug
anubis4–13-0.0821%20 Aug
inferno5–13-0.0020%19 Aug
inferno13–9-0.0419%19 Aug
inferno13–4-0.0019%19 Aug
cache13–30.1026%18 Aug
cache15–150.0317%16 Aug
inferno13–70.0110%16 Aug
mirage11–13-0.0111%16 Aug
cache15–15-0.0117%16 Aug
mirage8–13-0.0019%16 Aug
dust213–8-0.0410%16 Aug
inferno10–13-0.0431%15 Aug
cache13–7-0.0219%15 Aug
inferno0–13-0.0711%15 Aug
dust23–13-0.0318%11 Aug
dust213–80.0215%10 Aug
mirage8–130.0221%10 Aug
ancient11–2-0.029%10 Aug
inferno13–80.0715%10 Aug
cache11–130.0922%10 Aug
dust213–6-0.0212%10 Aug
mirage13–90.0125%9 Aug
mirage3–13-0.0324%9 Aug
dust213–90.0617%7 Aug
inferno13–7-0.0117%7 Aug
mirage13–100.0113%7 Aug
cache10–13-0.0716%6 Aug
anubis0–6-0.0120%6 Aug
mirage10–130.0019%5 Aug
mirage4–13-0.0319%15 Jul
mirage13–100.0422%15 Jul
ancient13–70.0526%15 Jul
mirage13–80.1025%15 Jul
mirage13–100.0019%12 Jul
anubis13–60.0212%12 Jul
cache13–90.0225%12 Jul
cache13–40.0922%9 Jul
cache3–13-0.0114%9 Jul
nuke14–16-0.0018%6 Jul
mirage10–13-0.0011%6 Jul
ancient4–130.0416%6 Jul
mirage8–130.0125%5 Jul
mirage13–110.0121%5 Jul
mirage13–8-0.0310%5 Jul
nuke3–13-0.0614%5 Jul
dust211–13-0.0117%5 Jul
overpass7–13-0.0129%5 Jul
ancient12–16-0.0217%5 Jul
mirage13–100.0217%4 Jul
nuke6–13-0.0412%4 Jul
anubis15–150.0115%4 Jul
inferno13–80.0215%29 Jun
dust210–130.0224%28 Jun
inferno5–13-0.0113%21 Jun
inferno13–40.1118%21 Jun
nuke15–15-0.0218%17 Jun
anubis13–10.0532%16 Jun
mirage1–13-0.0413%16 Jun

Match data via Leetify.

Milestones

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