MaRkel0FF /a/

MaRkel0FF /a/ — CS2 Stats

76561197965035826[U:1:4770098]Steam profile ↗✓ No bans

984Tracked matches50%Win rate2020Tracked since
3,270Hours in CS29Hrs last 2 wks
CSDB Rating5.3 DevelopingSupport
Premier CS Rating14,999Blue band · top ~28.4% of ranked players (population est.)
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 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: 14,999 -1,105 15 Aug – 12 Oct · 28 days played
13,38816,662peak 16,66215 Aug12 Oct
16,810Peak Premier in tracked matches
27Days played since 2026-08-15

Premier CS Rating

  • 1,663 below peak (16,662)
  • -56 over 30 days · steady
  • Next: Purple band at 15,000 — 1 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-02
  • Blue band first seen 2026-09-02

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches42——
Win rate57%——
K/D0.99——
Headshot %51%——

Measured 15 Sep 2026 → 13 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate48.1%42.0%44.3%above
Shot accuracy16.0%9.6%11.9%above
Kill/death ratio1.030.981.03meets
Match win rate47.9%43.8%45.2%above

Across every metric we can compare, this profile already matches the typical Purple band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGMaRkel0FF /a/PREMIER14,999 · 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

Aim56
Positioning58
Utility61

0–100 skill scores via Leetify.

Recent form

COLD44–52–4Last 10044%Win rateWLLLWLLLLL

Last 10 vs previous 10: −30pp win rate · +0.02 avg rating · +0.7pp headshot accuracy · +12ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 584ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 609ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 603ms

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 (+1.9 against its own average).

Aim5.6
Utility6.1
Positioning5.8
Opening Duels4.8
Clutch0.0

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 77% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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 58% on T to 42% on CT — first contacts on the defending side are being lost.

Reaction time. 584ms 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

Aim5.6
Positioning5.8
Utility6.1
Mechanics5.6
Opening Duels4.9
Win Impact5.0

Composite 5.3/10 (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 rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time585ms+27ms
first ⅓ avg 557ms → last ⅓ avg 585ms
Headshot accuracy17.7%−2.3%
first ⅓ avg 20.0% → last ⅓ avg 17.7%

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 · 9–13 · inferno, 11 Oct →
40%Best headshot accuracy · 0–13 · ancient, 17 Aug →
398msFastest reaction time · 9–13 · anubis, 30 Aug →
12–0Biggest win · dust2, 1 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–9In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 50% over 24anubisWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
dust2B2412–1250%0.00
infernoC2310–1343%0.01
anubisC176–1135%0.01
cacheC146–843%-0.01
ancientB115–645%0.00
mirageC94–544%0.00
nuke—21–150%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

79,959Lifetime kills
1.03K/D · Top 50% of Blue band
3,816Matches
47.9%Match win rate · Top 25% of Blue band
48.1%Headshot % · Top 25% of Blue band
16.0%Shot accuracy · Top 25% of Blue band
10,915MVPs
1,686Hours (in match)
3,703Bombs planted
1,019Bombs defused

Most-used weapons

AK-4725,986
AWP8,021
MP73,430
FAMAS1,535
P2501,224

Lifetime map wins

9,757inferno
5,996dust2
1,898train
1,043vertigo
856nuke
688cbble
103lake
81office

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

Faceit stats

Combat

431Matches
53%Win rate
1.06Avg K/D
72.4ADR
44%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno1258%0.8913.7
Anubis875%1.0215.8
Ancient633%0.9715.5
Overpass450%1.0016.5
Vertigo3100%1.5717.3
Mirage20%0.7412.0
Dust210%0.5610.0

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.

17.9%Headshot accuracy
32.7%Accuracy (enemy spotted)
30.6%Spray accuracy
75.4%Counter-strafing
10.6°Preaim
584msReaction time
57.6%T opening success
41.9%CT opening success
0.64Enemies flashed / flash
5.7%Flash assists
9.11HE damage / grenade
9.78Flashes / match

Recommended for you

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.

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–40.0124%12 Oct →
inferno11–13-0.0213%12 Oct →
mirage9–13-0.0110%12 Oct →
mirage2–13-0.0219%11 Oct →
mirage16–140.0315%11 Oct →
nuke9–130.0416%11 Oct →
inferno9–130.0419%11 Oct →
inferno9–130.1221%11 Oct →
inferno8–13-0.0415%10 Oct →
mirage9–13-0.0514%10 Oct →
dust213–30.1123%10 Oct →
anubis13–9-0.056%9 Oct →
cache1–13-0.0917%9 Oct →
ancient13–110.0115%9 Oct →
ancient13–60.0312%8 Oct →
anubis8–13-0.0421%8 Oct →
cache8–13-0.0113%8 Oct →
dust29–13-0.0215%7 Oct →
inferno13–3-0.0020%5 Oct →
ancient13–16-0.0217%5 Oct →
dust213–70.0134%5 Oct →
anubis13–90.1131%1 Oct →
dust212–00.0117%1 Oct →
cache6–13-0.0321%1 Oct →
ancient13–110.0016%1 Oct →
cache13–6-0.0520%1 Oct →
inferno16–12-0.0120%1 Oct →
mirage13–5-0.0117%1 Oct →
anubis13–30.0422%1 Oct →
inferno6–13-0.0619%29 Sept →
inferno15–15-0.0319%29 Sept →
dust213–40.0815%29 Sept →
inferno16–14-0.007%28 Sept →
anubis2–13-0.0129%17 Sept →
inferno9–13-0.0224%17 Sept →
cache15–15-0.0420%17 Sept →
dust22–13-0.0318%13 Sept →
anubis13–100.0425%13 Sept →
inferno8–13-0.0313%13 Sept →
inferno16–14-0.0112%13 Sept →
ancient11–130.0414%13 Sept →
mirage10–130.0418%13 Sept →
dust215–150.0021%13 Sept →
cache3–130.0128%13 Sept →
anubis11–13-0.049%12 Sept →
anubis9–13-0.0124%12 Sept →
mirage11–13-0.0315%12 Sept →
dust213–7-0.0324%12 Sept →
dust213–7-0.0021%12 Sept →
ancient15–150.0122%12 Sept →
nuke13–11-0.0024%12 Sept →
dust211–130.0216%12 Sept →
anubis11–13-0.0111%11 Sept →
inferno11–13-0.0515%11 Sept →
cache13–16-0.0417%11 Sept →
anubis5–130.0414%10 Sept →
inferno13–30.0125%7 Sept →
dust25–13-0.0419%7 Sept →
dust213–20.0315%7 Sept →
inferno13–90.0322%1 Sept →
inferno10–130.0121%1 Sept →
anubis8–130.0421%30 Aug →
anubis9–130.0320%30 Aug →
ancient10–13-0.0213%30 Aug →
cache5–13-0.097%30 Aug →
cache13–80.0520%30 Aug →
dust24–13-0.0120%30 Aug →
ancient13–11-0.0421%30 Aug →
dust213–6-0.0326%30 Aug →
ancient13–30.1228%30 Aug →
cache13–10-0.0116%30 Aug →
inferno16–130.0318%30 Aug →
cache9–130.0230%30 Aug →
dust213–80.0717%30 Aug →
dust213–60.0517%30 Aug →
dust213–80.0113%30 Aug →
cache13–90.0621%29 Aug →
dust210–13-0.0025%27 Aug →
anubis10–130.0211%27 Aug →
dust28–13-0.0113%27 Aug →
dust213–10-0.0820%27 Aug →
anubis6–13-0.0811%25 Aug →
inferno13–50.0217%25 Aug →
inferno13–30.0418%25 Aug →
mirage13–110.0211%25 Aug →
mirage13–70.0618%25 Aug →
inferno13–6-0.0020%20 Aug →
ancient10–13-0.0122%19 Aug →
anubis13–70.0519%19 Aug →
anubis13–60.0517%18 Aug →
dust27–13-0.0426%17 Aug →
ancient0–13-0.1040%17 Aug →
dust24–13-0.0214%16 Aug →
anubis11–13-0.099%16 Aug →
dust27–13-0.0518%16 Aug →
inferno9–130.0323%16 Aug →
inferno10–130.0429%16 Aug →
dust214–16-0.0118%16 Aug →
inferno5–130.0132%15 Aug →
cache13–100.0220%15 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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