Dramzi

Dramzi — CS2 Stats

SV76561197965574147[U:1:5308419]Steam profile ↗✓ No bans

4,093Tracked matches48%Win rate2021Tracked since
CSDB Rating5.7 SolidPositional Player
Premier CS Rating17,544Purple band · top ~18.3% of ranked players (population est.)
FaceitLevel 5 · 1,433 ELOTop 67.6% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+101Premier CS Rating · 17,443 → 17,544

Rating over time

Premier CS Rating: 17,544 -1,149 1 Sept – 14 Nov · 33 days played
15,50818,941peak 18,9411 Sept14 Nov
Faceit ELO: 1,433 +0 1 Sept – 23 Oct · 7 observations
1,4331,433peak 1,4331 Sept23 Oct
18,941Peak Premier in tracked matches
1,433Highest Faceit ELO seen on CSDB
29Days played since 2026-09-01

Faceit ELO

  • At peak — 1,433
  • 0 over 30 days · steady
  • Next: Level 8 at 1,531 — 98 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-01
  • Level 6 first seen 2026-09-01

Premier CS Rating

  • 1,397 below peak (18,941)
  • -710 over 30 days · declining
  • Next: Pink band at 20,000 — 2,456 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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.

Share this profile

CSDB.GGDramziFACEITLevel 5 · 1,433 ELOSTANDINGTop 67.6% of rankedPREMIER17,544 · Purple band30 DAYS0 ELOPEAK ELO1,433csdb.gg/stats

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Performance scores

Aim57
Positioning72
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateWLWLLWWWLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +0.0pp headshot accuracy · +17ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 663ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 599ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 591ms

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).

Aim5.7
Utility4.6
Positioning7.2
Opening Duels5.8
Clutch4.2

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

jL

Plays most like jL 84% 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

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 570ms 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

Aim5.7
Positioning7.2
Utility4.6
Mechanics4.4
Opening Duels7.5
Win Impact4.4

Composite 5.7/10 (Solid), 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 rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time572ms+32ms
first ⅓ avg 540ms → last ⅓ avg 572ms
Headshot accuracy22.3%−3.5%
first ⅓ avg 25.8% → last ⅓ avg 22.3%

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, 1 Nov →
50%Best headshot accuracy · 11–13 · inferno, 3 Nov →
375msFastest reaction time · 9–2 · inferno, 1 Nov →
13–1Biggest win · ancient, 13 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
1–10In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 67% over 15cacheWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
nukeA1710–759%0.02
mirageC167–944%-0.00
infernoA169–756%0.03
ancientS1510–567%0.02
dust2A148–657%-0.01
cacheD132–1115%-0.00
anubisA74–357%0.02
train—11–0100%0.04
vertigo—10–10%-0.00

Across the last 100 tracked matches.

Faceit stats

Combat

199Matches
52%Win rate
0.94Avg K/D
76.1ADR
54%Headshot %

Clutches & streaks

41%1v1 clutch win
19%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient3262%0.9715.0
Anubis2255%0.9513.9
Nuke2152%1.0014.9
Dust21947%0.9614.8
Mirage1932%0.8613.4
Inferno1258%0.9113.8
Cache633%0.6311.7
Overpass3100%0.8017.0

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.

22.0%Headshot accuracy
31.7%Accuracy (enemy spotted)
31.7%Spray accuracy
69.9%Counter-strafing
10.9°Preaim
570msReaction time
61.2%T opening success
58.5%CT opening success
0.57Enemies flashed / flash
5.2%Flash assists
7.59HE damage / grenade
3.96Flashes / 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 3.9601 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke13–70.0119%14 Nov →
mirage4–13-0.0710%14 Nov →
nuke16–13-0.0327%13 Nov →
dust29–13-0.0322%13 Nov →
inferno10–13-0.0514%13 Nov →
mirage13–7-0.0113%13 Nov →
ancient13–10.2124%13 Nov →
ancient16–120.0529%12 Nov →
mirage8–13-0.0236%12 Nov →
anubis4–13-0.1014%12 Nov →
train13–70.0417%12 Nov →
dust213–7-0.0425%12 Nov →
ancient13–90.0217%11 Nov →
cache10–130.0731%11 Nov →
anubis15–150.0314%11 Nov →
ancient13–10-0.0222%9 Nov →
nuke11–130.0129%9 Nov →
dust211–13-0.0216%9 Nov →
mirage13–100.0024%9 Nov →
dust213–9-0.0114%9 Nov →
mirage9–130.0027%9 Nov →
cache8–130.0621%8 Nov →
vertigo10–13-0.0016%8 Nov →
nuke4–13-0.0328%8 Nov →
cache10–13-0.0519%7 Nov →
nuke13–30.0530%7 Nov →
inferno13–70.0523%7 Nov →
mirage11–130.0832%7 Nov →
anubis11–13-0.0224%6 Nov →
inferno13–60.0218%6 Nov →
mirage13–50.0823%6 Nov →
inferno11–13-0.0750%3 Nov →
mirage11–13-0.079%3 Nov →
mirage12–160.0116%1 Nov →
inferno8–8-0.0628%1 Nov →
inferno9–20.2323%1 Nov →
inferno9–20.2331%1 Nov →
nuke10–13-0.0321%1 Nov →
ancient4–13-0.0517%30 Oct →
ancient13–100.0123%29 Oct →
nuke12–160.0713%29 Oct →
nuke12–160.0632%27 Oct →
inferno13–70.1017%24 Oct →
mirage13–6-0.0313%24 Oct →
dust213–10-0.0313%17 Oct →
cache13–16-0.0217%17 Oct →
cache10–130.0121%17 Oct →
ancient13–5-0.0233%17 Oct →
nuke13–70.0427%17 Oct →
cache5–13-0.0824%17 Oct →
dust213–50.1117%11 Oct →
nuke13–30.0823%11 Oct →
anubis13–70.1130%8 Oct →
ancient15–150.0222%8 Oct →
ancient11–130.0220%7 Oct →
mirage10–50.0018%7 Oct →
dust213–80.0411%7 Oct →
inferno13–60.1423%7 Oct →
mirage13–50.0515%6 Oct →
cache13–8-0.0218%6 Oct →
nuke13–100.0424%6 Oct →
inferno8–130.0019%5 Oct →
cache1–13-0.0633%5 Oct →
ancient14–16-0.0422%5 Oct →
dust212–16-0.0323%5 Oct →
nuke13–40.0123%4 Oct →
anubis13–80.0226%4 Oct →
dust213–80.0315%4 Oct →
cache4–130.0220%4 Oct →
dust213–40.0324%4 Oct →
inferno13–9-0.0233%3 Oct →
nuke6–130.0034%3 Oct →
dust25–13-0.079%3 Oct →
dust213–4-0.0126%3 Oct →
mirage15–150.0217%3 Oct →
mirage9–13-0.0231%30 Sept →
inferno13–7-0.0226%30 Sept →
nuke13–11-0.0427%30 Sept →
inferno4–13-0.0435%30 Sept →
ancient13–90.0718%29 Sept →
anubis13–30.0320%29 Sept →
ancient11–13-0.0732%28 Sept →
mirage13–9-0.0129%28 Sept →
mirage9–13-0.0325%28 Sept →
cache8–130.0237%27 Sept →
ancient13–60.0432%27 Sept →
anubis13–60.0419%26 Sept →
nuke13–160.0234%26 Sept →
inferno13–40.0544%26 Sept →
dust25–13-0.0926%26 Sept →
cache11–130.0626%26 Sept →
nuke13–90.0431%26 Sept →
ancient16–130.0718%26 Sept →
ancient13–7-0.0211%26 Sept →
inferno5–13-0.0217%26 Sept →
cache13–50.0414%25 Sept →
nuke13–70.0134%25 Sept →
cache3–13-0.0426%25 Sept →
inferno4–13-0.0132%25 Sept →
dust27–13-0.0727%24 Sept →

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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