RaKKaTaKKaMZ!#FcKZoos

RaKKaTaKKaMZ!#FcKZoos — CS2 Stats

DE76561198034509516[U:1:74243788]Steam profile ↗✓ No bans

3,116Tracked matches50%Win rate2020Tracked since
6,564Hours in CS14Hrs last 2 wks
CSDB Rating6.7 SolidPositional Player
CSDB Leaderboard#16515 of 247858 tracked
FaceitLevel 10 · 2,545 ELOTop 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 25,491 -1,456 1 Mar – 6 Jul · 32 days played
25,49128,012peak 28,0121 Mar6 Jul
28,012Peak Premier in tracked matches
2,545Highest Faceit ELO seen on CSDB
51Days played since 2026-03-01

Faceit ELO

  • At peak — 2,545
  • Next: 3,000 ELO at 3,000 — 455 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8

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
Matches48——
Win rate58%——
K/D1.32——
Headshot %52%——

Measured 4 Sep 2026 → 1 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 Level 10 among CSDB-tracked players (n=29,218), 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 10 median
Headshot rate65.7%50.9%
Shot accuracy15.9%13.8%
Kill/death ratio1.271.09
Match win rate51.7%48.4%

Share this profile

CSDB.GGRaKKaTaKKaMZ!#FcKZoosFACEITLevel 10 · 2,545 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,545csdb.gg/stats

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Performance scores

Aim83
Positioning62
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY50–50Last 10050%Win rateLWLLWWWWLW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating · −2.7pp headshot accuracy · −66ms reaction

Win rate up 20pp 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 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 567ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 527ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 560ms

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 against its own average).

Aim8.3
Utility5.6
Positioning6.2
Opening Duels5.2
Clutch3.8

Strong CT-side opener

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 94% playstyle similarity

Most alike: opening-duel success, 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

T-side openings. Opening success drops from 59% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 579ms 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

Aim8.3
Positioning6.2
Utility5.6
Mechanics7.0
Opening Duels4.2
Win Impact5.0

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time568ms−61ms
first ⅓ avg 629ms → last ⅓ avg 568ms
Headshot accuracy21.4%−1.8%
first ⅓ avg 23.2% → last ⅓ avg 21.4%

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

0.16Best match rating · 13–4 · dust2, 20 Mar →
50%Best headshot accuracy · 0–13 · dust2, 4 Jun →
391msFastest reaction time · 16–13 · ancient, 31 Aug →
13–0Biggest win · ancient, 24 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 75% over 8mirageWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
ancientB2312–1152%0.02
dust2B2010–1050%0.03
anubisA169–756%-0.00
mirageD144–1029%0.00
nukeC83–538%0.00
infernoS86–275%0.00
overpassS75–271%0.03
cache—41–325%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 14). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

374,880Lifetime kills
1.27K/D · Top 25% of Level 10 players
8,187Matches
51.7%Match win rate · Top 25% of Level 10 players
65.7%Headshot % · Top 10% of Level 10 players
15.9%Shot accuracy · Top 50% of Level 10 players
25,698MVPs
9,452Hours (in match)
7,323Bombs planted
2,749Bombs defused

Most-used weapons

AK-47174,716
Glock-1813,857
AWP11,123
P2508,876
FAMAS5,506
MP93,801

Lifetime map wins

41,769dust2
11,320inferno
5,419nuke
1,855train
1,617vertigo
638italy
503dust
492office

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

Faceit stats

Combat

1,292Matches
55%Win rate
1.41Avg K/D
90.0ADR
51%Headshot %

Clutches & streaks

39%1v1 clutch win
30%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient14355%1.3818.8
Anubis14357%1.4518.6
Dust211552%1.3019.2
Nuke4558%1.4219.2
Inferno3551%1.4318.4
Overpass2343%1.5021.8
Mirage1741%1.3318.5
Vertigo1464%1.3416.9

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
37.7%Accuracy (enemy spotted)
40.2%Spray accuracy
81.4%Counter-strafing
9.0°Preaim
579msReaction time
35.2%T opening success
58.5%CT opening success
0.64Enemies flashed / flash
4.4%Flash assists
10.22HE damage / grenade
12.11Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 35.1623% — 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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient10–13-0.0316%24 Sept →
ancient13–70.1215%16 Sept →
cache11–130.0215%16 Sept →
ancient9–130.0116%16 Sept →
nuke13–80.0527%13 Sept →
inferno13–60.0423%9 Sept →
ancient16–130.0918%31 Aug →
anubis13–11-0.0039%31 Aug →
ancient7–13-0.0316%21 Aug →
anubis13–100.0128%13 Aug →
dust212–160.0118%9 Aug →
anubis7–13-0.0321%6 Aug →
ancient13–8-0.0325%4 Aug →
ancient13–90.0122%29 Jul →
anubis4–13-0.0419%29 Jul →
inferno13–80.0329%26 Jul →
ancient8–130.0122%20 Jul →
inferno12–16-0.0831%20 Jul →
cache13–70.0024%20 Jul →
mirage7–130.0329%20 Jul →
inferno2–6-0.0325%19 Jul →
inferno13–80.0018%17 Jul →
nuke6–13-0.087%15 Jul →
dust213–40.1026%15 Jul →
nuke16–140.0222%15 Jul →
anubis11–130.0214%14 Jul →
cache14–16-0.0131%14 Jul →
anubis13–50.0618%14 Jul →
anubis13–70.0514%7 Jul →
ancient8–130.0224%6 Jul →
ancient10–13-0.0320%6 Jul →
mirage0–2-0.100%29 Jun →
ancient8–130.0135%21 Jun →
anubis13–30.0134%21 Jun →
dust20–13-0.0432%21 Jun →
nuke4–130.0336%5 Jun →
dust20–13-0.0850%4 Jun →
mirage13–9-0.0021%31 May →
dust213–90.0322%31 May →
ancient10–130.0124%29 May →
ancient16–14-0.0322%24 May →
overpass13–50.0616%24 May →
ancient4–13-0.0827%14 May →
ancient13–50.0218%14 May →
dust213–40.0522%14 May →
dust29–13-0.0119%10 May →
ancient13–20.087%3 May →
mirage0–13-0.0333%2 May →
mirage8–13-0.0323%30 Apr →
cache9–130.0224%30 Apr →
dust211–130.0115%24 Apr →
inferno13–50.0727%24 Apr →
ancient13–00.1535%24 Apr →
nuke7–13-0.0039%24 Apr →
anubis8–13-0.039%22 Apr →
overpass13–110.0713%22 Apr →
dust213–100.0528%22 Apr →
mirage13–90.0932%22 Apr →
mirage4–13-0.0520%18 Apr →
dust27–13-0.0422%18 Apr →
nuke10–13-0.0030%15 Apr →
inferno13–9-0.0326%15 Apr →
ancient7–130.0117%15 Apr →
anubis13–6-0.0615%11 Apr →
dust213–100.0217%11 Apr →
anubis13–10-0.0118%6 Apr →
overpass13–100.0822%4 Apr →
dust213–30.0721%4 Apr →
overpass13–160.0321%31 Mar →
anubis13–11-0.0635%29 Mar →
dust213–90.0830%29 Mar →
mirage9–13-0.0020%25 Mar →
mirage13–100.0622%25 Mar →
ancient13–80.0527%23 Mar →
mirage11–13-0.0129%23 Mar →
dust210–130.0624%20 Mar →
inferno16–120.0026%20 Mar →
anubis1–13-0.0028%20 Mar →
dust213–40.1626%20 Mar →
overpass13–100.0215%20 Mar →
dust213–20.0519%20 Mar →
nuke11–130.0222%19 Mar →
anubis13–80.0117%18 Mar →
anubis10–130.0529%18 Mar →
overpass9–13-0.0123%12 Mar →
anubis7–13-0.0024%7 Mar →
ancient16–13-0.0512%7 Mar →
dust213–70.1022%7 Mar →
overpass16–13-0.0031%7 Mar →
mirage4–130.0022%6 Mar →
mirage7–13-0.0125%6 Mar →
ancient13–60.0816%6 Mar →
ancient7–13-0.0726%6 Mar →
dust24–13-0.0528%4 Mar →
ancient13–40.0327%4 Mar →
nuke13–80.0012%4 Mar →
mirage3–13-0.0121%2 Mar →
dust211–130.0720%2 Mar →
mirage13–50.1325%2 Mar →
dust210–13-0.0221%1 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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