moke mardeljano

moke mardeljano — CS2 Stats

AF76561198971847606[U:1:1011581878]Steam profile ↗✓ No bans

844Tracked matches57%Win rate2022Tracked since
2,344Hours in CS66Hrs last 2 wks
CSDB Rating5.0 DevelopingSupport
Premier CS Rating4,466Grey band · top ~81.1% of ranked players (population est.)
FaceitLevel 9 · 1,904 ELOTop 20.7% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (19 days ago). 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: 4,466 +426 31 Aug – 17 Oct · 5 days played
3,7274,466peak 4,46631 Aug17 Oct
4,466Peak Premier in tracked matches
1,904Highest Faceit ELO seen on CSDB
34Days played since 2026-07-15

Faceit ELO

  • At peak — 1,904
  • Next: Level 10 at 2,001 — 97 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

Premier CS Rating

  • At peak — 4,466
  • Next: Light Blue band at 5,000 — 534 to go

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 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate48.5%48.2%50.9%2.5% short
Shot accuracy6.7%13.2%13.7%7.0% short
Kill/death ratio1.161.071.09above
Match win rate45.9%46.9%48.4%2.5% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGmoke mardeljanoFACEITLevel 9 · 1,904 ELOSTANDINGTop 20.7% of rankedPREMIER4,466 · Grey bandPEAK ELO1,904csdb.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

Aim64
Positioning54
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY50–50Last 10050%Win rateLWLWWWLLWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −0.8pp headshot accuracy · +25ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 583ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 584ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 572ms

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 (+2 against its own average).

Aim6.4
Utility6.4
Positioning5.4
Opening Duels1.4
Clutch4.4

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 76% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

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

Reaction time. 560ms 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

Aim6.4
Positioning5.4
Utility6.4
Mechanics4.5
Opening Duels2.5
Win Impact7.2

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.05
first ⅓ avg -0.04 → last ⅓ avg 0.01
Reaction time563ms−45ms
first ⅓ avg 609ms → last ⅓ avg 563ms
Headshot accuracy17.3%+5.2%
first ⅓ avg 12.1% → last ⅓ avg 17.3%

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

0.14Best match rating · 13–3 · inferno, 25 Aug →
50%Best headshot accuracy · 9–2 · inferno, 26 Sept →
406msFastest reaction time · 13–6 · inferno, 28 Oct →
13–2Biggest win · dust2, 25 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 60% over 20anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB2914–1548%-0.01
dust2B2311–1248%-0.01
infernoA2012–860%-0.01
ancientA127–558%-0.00
cacheB63–350%-0.02
anubisD51–420%-0.01
nuke—42–250%-0.01
office—10–10%-0.15

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

76,089Lifetime kills
1.16K/D · Top 50% of Level 9 players
3,812Matches
45.9%Match win rate
48.5%Headshot % · Top 50% of Level 9 players
6.7%Shot accuracy
11,974MVPs
1,364Hours (in match)
2,966Bombs planted
1,820Bombs defused

Most-used weapons

AK-4720,409
SSG 086,545
AWP6,089
MP92,097
Knife1,602

Lifetime map wins

8,038dust2
4,297inferno
2,694nuke
1,516vertigo
244train
153office
52lake
19italy

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

Faceit stats

Combat

1,142Matches
50%Win rate
1.03Avg K/D
83.3ADR
39%Headshot %

Clutches & streaks

42%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage35152%1.0816.0
Dust230751%1.0516.1
Ancient14550%1.0215.9
Inferno12444%0.9614.3
Anubis9351%0.9815.3
Nuke8844%0.8715.2
Train1362%1.0716.3
Overpass1354%1.0217.2

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.

17.7%Headshot accuracy
33.9%Accuracy (enemy spotted)
39.4%Spray accuracy
70.0%Counter-strafing
10.2°Preaim
560msReaction time
49.9%T opening success
29.1%CT opening success
0.53Enemies flashed / flash
12.4%Flash assists
10.00HE damage / grenade
5.84Flashes / 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 29.1281% — below the 40% mark we flag

Spend your practice time on Anubis

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis7–13-0.018%1 Nov →
mirage16–130.0014%31 Oct →
dust21–13-0.0117%31 Oct →
inferno13–50.0514%31 Oct →
mirage13–70.1223%31 Oct →
cache13–8-0.0618%30 Oct →
anubis12–160.0114%30 Oct →
mirage14–160.0225%30 Oct →
mirage13–100.0220%30 Oct →
dust210–130.0224%30 Oct →
inferno13–10-0.0030%30 Oct →
nuke8–13-0.0215%30 Oct →
ancient13–40.029%30 Oct →
ancient7–13-0.0521%29 Oct →
dust27–13-0.0120%29 Oct →
mirage9–130.0315%29 Oct →
dust213–4-0.0422%29 Oct →
mirage10–130.0214%28 Oct →
nuke13–110.0521%28 Oct →
inferno13–60.0317%28 Oct →
mirage11–130.0118%28 Oct →
dust213–70.0315%27 Oct →
inferno13–90.0232%27 Oct →
dust210–13-0.0613%27 Oct →
ancient13–100.0219%26 Oct →
dust213–100.0119%26 Oct →
mirage13–9-0.0512%26 Oct →
inferno9–13-0.0518%26 Oct →
ancient13–80.0410%26 Oct →
mirage13–50.089%26 Oct →
inferno13–30.0221%26 Oct →
dust211–13-0.0115%25 Oct →
dust213–2-0.0111%25 Oct →
ancient13–60.0119%25 Oct →
dust213–80.0412%25 Oct →
mirage4–13-0.0310%25 Oct →
mirage9–13-0.0113%25 Oct →
mirage13–6-0.0219%24 Oct →
mirage13–11-0.0014%24 Oct →
ancient14–160.0212%24 Oct →
ancient9–13-0.0422%23 Oct →
dust213–9-0.0223%23 Oct →
ancient13–70.0219%23 Oct →
dust211–130.0514%21 Oct →
nuke13–10-0.007%21 Oct →
mirage13–50.0415%21 Oct →
mirage7–130.0421%21 Oct →
cache6–80.0616%19 Oct →
inferno6–130.0527%17 Oct →
anubis13–11-0.047%17 Oct →
inferno9–13-0.0316%17 Oct →
cache13–110.0823%17 Oct →
anubis13–160.0515%16 Oct →
anubis6–13-0.078%11 Oct →
inferno13–3-0.0614%7 Oct →
inferno5–9-0.1515%28 Sept →
dust213–60.0016%28 Sept →
inferno9–20.0550%26 Sept →
dust213–50.018%31 Aug →
dust211–20.0218%31 Aug →
dust24–13-0.066%29 Aug →
dust27–130.0425%29 Aug →
ancient6–13-0.0430%29 Aug →
mirage13–80.036%28 Aug →
dust213–9-0.0411%28 Aug →
inferno13–50.1020%28 Aug →
inferno13–80.0323%28 Aug →
nuke8–13-0.0617%26 Aug →
mirage11–13-0.098%26 Aug →
inferno13–30.1414%25 Aug →
mirage13–5-0.024%25 Aug →
ancient13–80.0515%25 Aug →
mirage16–140.0419%24 Aug →
dust211–130.019%24 Aug →
mirage3–13-0.106%17 Aug →
ancient2–8-0.079%17 Aug →
inferno9–13-0.0519%16 Aug →
mirage16–14-0.0430%16 Aug →
inferno13–4-0.090%7 Aug →
cache13–5-0.0224%5 Aug →
office5–13-0.150%2 Aug →
dust29–13-0.028%25 Jul →
inferno10–13-0.0411%25 Jul →
inferno14–16-0.0613%24 Jul →
dust29–13-0.0919%24 Jul →
ancient13–10-0.0015%24 Jul →
mirage3–13-0.0816%24 Jul →
mirage1–13-0.080%24 Jul →
dust210–130.0628%21 Jul →
mirage12–160.016%16 Jul →
inferno2–10-0.080%16 Jul →
mirage3–13-0.180%16 Jul →
dust213–3-0.0611%16 Jul →
cache10–13-0.0220%15 Jul →
mirage13–9-0.0524%15 Jul →
mirage2–13-0.067%15 Jul →
inferno13–7-0.0611%15 Jul →
mirage5–100.0212%15 Jul →
mirage13–3-0.1017%15 Jul →
cache2–13-0.1410%15 Jul →

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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