Moniker (GR)

Moniker (GR) — CS2 Stats

US76561198192472365[U:1:232206637]Steam profile ↗✓ No bans

611Tracked matches60%Win rate2024Tracked since
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating18,486Purple band · top ~14.5% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova I
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: 18,486 +2,965 26 Sept – 4 Nov · 20 days played
15,52119,758peak 19,75826 Sept4 Nov
19,778Peak Premier in tracked matches
35Days played since 2026-08-17

Premier CS Rating

  • 1,272 below peak (19,758)
  • +183 over 30 days · steady
  • Next: Pink band at 20,000 — 1,514 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGMoniker (GR)FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER18,486 · Purple bandcsdb.gg/stats

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Performance scores

Aim59
Positioning60
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY58–42Last 10058%Win rateLLLWWLWLWL

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · −1.0pp headshot accuracy · −13ms 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 -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 541ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 523ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 529ms

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 (+2.6 against its own average).

Aim5.9
Utility2.3
Positioning6.0
Opening Duels1.3
Clutch4.2

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

iM

Plays most like iM 80% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

Areas to improve

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

CT openings. Opening success drops from 50% on T to 29% on CT — first contacts on the defending side are being lost.

Counter-strafing. Only 63% 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

Aim5.9
Positioning6.0
Utility2.3
Mechanics2.9
Opening Duels2.5
Win Impact8.3

Composite 4.8/10 (Developing), 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 rating-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time536ms−13ms
first ⅓ avg 549ms → last ⅓ avg 536ms
Headshot accuracy16.3%−1.9%
first ⅓ avg 18.2% → last ⅓ avg 16.3%

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

0.12Best match rating · 13–3 · inferno, 24 Sept →
44%Best headshot accuracy · 13–2 · dust2, 24 Sept →
359msFastest reaction time · 13–1 · inferno, 23 Oct →
13–1Biggest win · inferno, 23 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L3Current streak
10–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 79% over 14trainWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
anubisA1810–856%-0.01
nukeA1710–759%-0.00
cacheC146–843%-0.01
dust2S1411–379%0.00
infernoB115–645%0.00
mirageB105–550%-0.03
ancientS64–267%-0.01
trainC52–340%-0.00
overpass—44–0100%0.03
office—11–0100%0.05

Across the last 100 tracked matches.

Faceit stats

Combat

49Matches
67%Win rate
1.13Avg K/D
74.3ADR
49%Headshot %

Clutches & streaks

41%1v1 clutch win
16%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke1354%1.1614.5
Ancient862%1.0811.5
Dust2888%1.1013.4
Overpass4100%1.4020.3
Anubis450%0.9116.5
Mirage367%0.969.7
Train3100%1.5516.3
Vertigo2100%1.3510.5

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.

16.4%Headshot accuracy
34.7%Accuracy (enemy spotted)
34.4%Spray accuracy
63.2%Counter-strafing
9.4°Preaim
544msReaction time
49.6%T opening success
29.0%CT opening success
0.32Enemies flashed / flash
3.0%Flash assists
0.10HE damage / grenade
9.72Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3152 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 28.9645% — below the 40% mark we flag

Spend your practice time on Train

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.0517%4 Nov →
inferno8–13-0.0325%1 Nov →
nuke9–13-0.0617%1 Nov →
nuke13–8-0.0321%1 Nov →
office13–60.056%1 Nov →
cache9–130.0110%31 Oct →
anubis13–8-0.0219%30 Oct →
mirage3–13-0.0015%26 Oct →
inferno13–100.019%26 Oct →
dust210–13-0.0415%26 Oct →
dust213–40.0318%25 Oct →
cache13–9-0.0514%25 Oct →
cache3–13-0.0524%24 Oct →
dust213–50.0410%24 Oct →
dust29–130.0518%24 Oct →
inferno16–140.0320%23 Oct →
inferno13–1-0.007%23 Oct →
mirage13–10-0.0824%23 Oct →
cache9–40.058%21 Oct →
cache13–70.0821%21 Oct →
nuke13–40.0312%18 Oct →
inferno7–13-0.0521%18 Oct →
nuke10–130.0120%16 Oct →
anubis10–13-0.0210%16 Oct →
anubis13–11-0.037%16 Oct →
mirage13–9-0.0214%15 Oct →
cache13–11-0.0318%15 Oct →
overpass13–30.0619%14 Oct →
train4–13-0.0335%14 Oct →
mirage13–80.0617%12 Oct →
anubis6–13-0.0613%12 Oct →
inferno6–130.0618%9 Oct →
anubis13–4-0.0119%9 Oct →
anubis13–20.1115%9 Oct →
inferno0–13-0.0617%9 Oct →
anubis13–4-0.0215%8 Oct →
cache11–13-0.0614%8 Oct →
train10–130.0016%7 Oct →
dust213–5-0.0213%7 Oct →
anubis10–13-0.0710%7 Oct →
cache11–13-0.0116%4 Oct →
nuke10–13-0.0618%4 Oct →
anubis8–13-0.0410%1 Oct →
dust213–40.0524%1 Oct →
anubis10–130.0720%30 Sept →
inferno5–13-0.0719%30 Sept →
nuke2–130.0119%30 Sept →
anubis3–130.0425%29 Sept →
nuke13–11-0.0122%29 Sept →
anubis13–100.049%29 Sept →
anubis13–9-0.063%29 Sept →
dust213–10-0.0217%29 Sept →
anubis13–6-0.0111%29 Sept →
mirage4–13-0.1016%28 Sept →
ancient13–11-0.0117%28 Sept →
dust26–13-0.0412%28 Sept →
dust213–70.0117%28 Sept →
dust213–10-0.0022%27 Sept →
cache9–13-0.0624%27 Sept →
ancient13–6-0.0135%27 Sept →
inferno13–40.0725%26 Sept →
dust216–130.016%26 Sept →
nuke13–10-0.0315%26 Sept →
cache7–130.0119%26 Sept →
mirage8–13-0.0729%26 Sept →
ancient14–16-0.039%24 Sept →
cache13–9-0.0424%24 Sept →
cache13–30.0322%24 Sept →
inferno13–30.1214%24 Sept →
dust213–20.0144%24 Sept →
mirage3–13-0.0424%24 Sept →
nuke13–70.0116%23 Sept →
anubis13–9-0.0221%23 Sept →
nuke13–50.0311%23 Sept →
inferno6–13-0.0316%22 Sept →
anubis9–130.0713%22 Sept →
nuke13–90.0414%22 Sept →
ancient13–110.0118%20 Sept →
nuke11–13-0.068%20 Sept →
cache7–13-0.0317%16 Sept →
train3–13-0.0217%16 Sept →
nuke13–100.0816%5 Sept →
train13–110.0417%5 Sept →
train13–4-0.0021%4 Sept →
nuke8–13-0.0216%4 Sept →
anubis11–13-0.0620%4 Sept →
mirage13–70.0018%4 Sept →
overpass16–140.0120%27 Aug →
ancient5–13-0.068%27 Aug →
mirage13–4-0.0224%27 Aug →
dust213–30.0326%27 Aug →
nuke19–15-0.0217%27 Aug →
overpass13–80.0618%23 Aug →
nuke13–50.0524%23 Aug →
anubis16–14-0.0415%23 Aug →
dust213–11-0.0431%20 Aug →
ancient13–100.019%20 Aug →
overpass16–13-0.0213%20 Aug →
nuke11–13-0.0119%20 Aug →
cache10–130.0318%17 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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