daman

daman — CS2 Stats

FI76561197960362062[U:1:96334]Steam profile ↗✓ No bans

1,322Tracked matches41%Win rate2020Tracked since
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating11,267Blue band · top ~48.2% of ranked players (population est.)
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 11,267 -3,732 21 Apr – 4 Nov · 32 days played
10,00015,707peak 15,70721 Apr4 Nov
15,707Peak Premier in tracked matches
939Highest Faceit ELO seen on CSDB
41Days played since 2026-04-21

Faceit ELO

  • At peak — 939
  • Next: Level 5 at 1,051 — 112 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-14
  • Level 3 first seen 2026-09-14

Premier CS Rating

  • 4,440 below peak (15,707)
  • +942 over 30 days · improving
  • Next: Purple band at 15,000 — 3,733 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-14
  • Light Blue band first seen 2026-09-14

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.GGdamanPREMIER11,267 · Blue bandPEAK ELO939csdb.gg/stats

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Performance scores

Aim76
Positioning50
Utility49

0–100 skill scores via Leetify.

Recent form

COLD39–57–4Last 10039%Win rateLWLWLLWLTL

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · +3.2pp headshot accuracy · −46ms reaction

Win rate down 40pp 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 -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 528ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 565ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 588ms

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 (+1.9 against its own average).

Aim7.6
Utility4.9
Positioning5.0
Opening Duels1.5
Clutch1.2

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

ropz

Plays most like ropz 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Reaction time. 582ms 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

Aim7.6
Positioning5.0
Utility4.9
Mechanics8.1
Opening Duels2.9
Win Impact2.1

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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time591ms−86ms
first ⅓ avg 677ms → last ⅓ avg 591ms
Headshot accuracy23.4%+0.4%
first ⅓ avg 23.0% → last ⅓ avg 23.4%

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 · 13–8 · cache, 29 Apr →
50%Best headshot accuracy · 4–13 · mirage, 27 Sept →
414msFastest reaction time · 8–13 · inferno, 7 Sept →
13–3Biggest win · anubis, 15 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–6In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 58% over 12mirageWeakest map · 0% over 8
MapGradePlayedRecordWin rateAvg rating
nukeB2613–1350%-0.02
infernoC2511–1444%-0.03
dust2D132–1115%-0.03
anubisA127–558%-0.03
ancientD93–633%-0.01
mirageD80–80%-0.03
cacheD62–433%0.00
overpass—11–0100%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

109Matches
46%Win rate
0.84Avg K/D
70.5ADR
54%Headshot %

Clutches & streaks

26%1v1 clutch win
12%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke3057%1.0714.3
Inferno2152%0.8011.9
Anubis1547%0.8013.7
Dust21030%0.8614.4
Mirage922%0.8713.3
Ancient20%0.569.5
Overpass250%0.9614.0
Train1100%1.2918.0

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.

23.3%Headshot accuracy
32.2%Accuracy (enemy spotted)
33.6%Spray accuracy
86.3%Counter-strafing
9.5°Preaim
582msReaction time
43.8%T opening success
39.3%CT opening success
0.61Enemies flashed / flash
4.1%Flash assists
7.57HE damage / grenade
4.93Flashes / 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 39.2527% — below the 40% mark we flag

Spend your practice time on Mirage

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 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.0724%4 Nov →
nuke13–40.0122%4 Nov →
ancient13–160.0318%1 Nov →
nuke13–110.0416%1 Nov →
inferno7–13-0.0739%1 Nov →
nuke8–13-0.0019%1 Nov →
ancient13–7-0.0239%1 Nov →
dust28–13-0.0515%29 Oct →
mirage15–150.0131%27 Oct →
nuke3–13-0.0813%26 Oct →
dust22–13-0.0921%26 Oct →
ancient13–80.0425%25 Oct →
inferno13–100.0126%24 Oct →
inferno16–140.0014%24 Oct →
inferno13–5-0.0713%20 Oct →
inferno7–13-0.0813%20 Oct →
nuke13–40.0325%20 Oct →
anubis13–3-0.0321%15 Oct →
mirage7–130.0427%15 Oct →
nuke13–50.0120%15 Oct →
mirage5–13-0.0632%11 Oct →
anubis7–13-0.0527%11 Oct →
inferno2–13-0.0833%11 Oct →
inferno10–13-0.0731%11 Oct →
inferno9–13-0.0221%4 Oct →
mirage4–13-0.0250%27 Sept →
nuke5–13-0.0912%27 Sept →
inferno13–5-0.0323%27 Sept →
anubis13–4-0.0719%27 Sept →
nuke10–13-0.0515%26 Sept →
mirage14–16-0.0518%26 Sept →
nuke13–5-0.0029%21 Sept →
anubis13–11-0.0523%21 Sept →
dust215–150.0227%21 Sept →
dust211–13-0.0328%20 Sept →
ancient4–130.0332%20 Sept →
nuke11–13-0.0117%20 Sept →
dust27–13-0.0425%20 Sept →
ancient4–13-0.0528%15 Sept →
ancient13–16-0.0919%14 Sept →
ancient15–15-0.0216%11 Sept →
dust211–13-0.0232%11 Sept →
inferno13–6-0.0520%9 Sept →
nuke13–8-0.0213%9 Sept →
dust26–13-0.0244%9 Sept →
anubis16–13-0.0325%9 Sept →
dust26–13-0.0925%9 Sept →
inferno9–13-0.0314%8 Sept →
anubis5–13-0.0521%8 Sept →
inferno16–13-0.0322%8 Sept →
inferno8–13-0.0626%7 Sept →
dust26–13-0.0021%7 Sept →
anubis13–70.0114%7 Sept →
dust213–6-0.0324%7 Sept →
dust28–13-0.0431%6 Sept →
inferno15–15-0.0327%4 Sept →
mirage3–13-0.1129%4 Sept →
ancient13–40.0740%2 Sept →
cache7–13-0.0429%2 Sept →
anubis9–13-0.0135%2 Sept →
inferno13–100.005%2 Sept →
inferno13–80.0326%30 Aug →
dust29–13-0.0431%30 Aug →
inferno5–13-0.1011%28 Aug →
nuke13–7-0.0224%28 Aug →
nuke8–13-0.086%26 Aug →
nuke13–11-0.0617%26 Aug →
cache7–13-0.0224%26 Aug →
inferno14–16-0.0222%23 Aug →
nuke9–13-0.0522%23 Aug →
inferno8–130.0234%23 Aug →
anubis16–14-0.0620%21 Aug →
nuke13–8-0.0034%21 Aug →
mirage9–13-0.0821%21 Aug →
nuke13–9-0.0826%20 Aug →
inferno13–9-0.0214%20 Aug →
nuke9–13-0.0127%14 Aug →
nuke13–9-0.0118%14 Aug →
cache13–70.0823%13 Aug →
inferno3–13-0.0738%11 Aug →
nuke1–13-0.0313%11 Aug →
nuke2–130.0112%11 Aug →
nuke7–13-0.0522%5 Jun →
inferno13–60.0317%5 Jun →
anubis10–13-0.0342%6 May →
inferno9–13-0.0119%2 May →
cache4–13-0.0126%2 May →
mirage9–130.0219%1 May →
cache3–13-0.0929%1 May →
nuke13–50.0817%29 Apr →
nuke4–7-0.0113%29 Apr →
cache13–80.0825%29 Apr →
dust212–50.0734%28 Apr →
nuke13–100.0325%28 Apr →
nuke6–13-0.0122%28 Apr →
ancient9–13-0.0420%27 Apr →
anubis13–160.0116%27 Apr →
overpass13–8-0.0530%27 Apr →
anubis13–6-0.0116%27 Apr →
inferno13–8-0.0121%21 Apr →

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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