R1maizer

R1maizer — CS2 Stats

BD76561198922396623[U:1:962130895]Steam profile ↗community banned

711Tracked matches55%Win rate2020Tracked since
1,162Hours in CS
CSDB Rating5.6 SolidClutch Specialist
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 711 tracked matches. Play, then come back: the next observation lands here.

Rating over time

47Days played since 2023-03-20

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate45.8%43.8%44.8%above
Shot accuracy20.1%12.0%12.4%above
Kill/death ratio0.991.021.030.04 short
Match win rate39.2%44.7%45.2%6.0% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGR1maizerFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim70
Positioning59
Utility6

0–100 skill scores via Leetify.

Recent form

HOT52–46–2Last 10052%Win rateWWWLWWWLWW

Last 10 vs previous 10: +60pp win rate · +0.01 avg rating · +7.6pp headshot accuracy · −81ms reaction

Win rate up 60pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 34%
  • Avg reaction 553ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 29%
  • Avg reaction 586ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 626ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.7 against its own average).

Aim7.0
Utility0.6
Positioning5.9
Opening Duels4.9
Clutch6.0

Excellent counter-strafingLimited 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

donk

Plays most like donk 72% playstyle similarity

Most alike: opening-duel success, positioning profile.

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.

T-side openings. Opening success drops from 51% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 632ms 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

Aim7.0
Positioning5.9
Utility0.6
Mechanics8.4
Opening Duels2.6
Win Impact6.7

Composite 5.6/10 (Solid), 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 rating0.01+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time623ms+31ms
first ⅓ avg 592ms → last ⅓ avg 623ms
Headshot accuracy23.1%+12.4%
first ⅓ avg 10.7% → last ⅓ avg 23.1%

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

0.15Best match rating · 10–1 · anubis, 22 Oct →
68%Best headshot accuracy · 13–6 · mirage, 7 Feb →
453msFastest reaction time · 9–16 · nuke, 30 Mar →
16–2Biggest win · inferno, 24 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
7–6In matches decided by ≤2 rounds
40Overtime games

Map breakdown

vertigoBest map · 83% over 6dust2Weakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB3217–1553%0.01
nukeB1910–953%0.01
infernoB189–950%-0.01
dust2C104–640%-0.01
anubisC94–544%0.01
vertigoS65–183%0.02
ancientC52–340%-0.01
overpass—11–0100%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,554Lifetime kills
0.99K/D
1,801Matches
39.2%Match win rate
45.8%Headshot % · Top 50% of Level 5 players
20.1%Shot accuracy · Top 5% of Level 5 players
4,397MVPs
1,162Hours (in match)
890Bombs planted
342Bombs defused

Most-used weapons

Lifetime map wins

3,520inferno
3,162dust2
1,059nuke
607vertigo
164train
67lake
29cbble
26office

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

Faceit stats

Combat

348Matches
49%Win rate
1.02Avg K/D
65.6ADR
35%Headshot %

Clutches & streaks

50%1v1 clutch win
14%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1753%1.0515.2
Nuke1164%1.3516.3
Anubis838%1.8212.4
Vertigo475%1.3814.0
Ancient250%0.6412.0
Dust210%0.406.0
Inferno1100%0.7110.0

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.

22.3%Headshot accuracy
33.3%Accuracy (enemy spotted)
34.9%Spray accuracy
88.0%Counter-strafing
11.0°Preaim
632msReaction time
28.4%T opening success
51.0%CT opening success
0.22Enemies flashed / flash
5.6%Flash assists
4.69HE damage / grenade
2.16Flashes / 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 0.2239 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 28.395% — below the 40% mark we flag

Spend your practice time on Dust 2

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–60.1268%7 Feb →
anubis13–100.0315%22 Oct →
mirage13–30.0633%22 Oct →
dust29–13-0.0220%19 Oct →
dust213–20.0030%19 Oct →
dust213–110.0017%19 Oct →
mirage13–80.0725%18 Oct →
dust25–13-0.0917%1 Oct →
dust213–90.0526%9 Aug →
inferno13–8-0.0335%8 Aug →
mirage5–130.0017%7 Aug →
dust27–13-0.0615%6 Aug →
mirage10–13-0.0421%6 Aug →
mirage13–00.1124%5 Aug →
mirage10–13-0.0528%4 Aug →
nuke8–13-0.0029%4 Aug →
mirage12–120.0920%4 Aug →
mirage11–13-0.049%22 Dec →
vertigo7–13-0.0125%25 Oct →
mirage13–50.1023%25 Oct →
nuke13–100.0416%25 Oct →
nuke8–13-0.0422%24 Oct →
mirage13–7-0.0117%24 Oct →
mirage13–100.0222%23 Oct →
nuke9–130.0221%23 Oct →
anubis7–13-0.0120%22 Oct →
mirage4–13-0.0618%22 Oct →
vertigo13–10-0.0715%22 Oct →
anubis10–10.1527%22 Oct →
anubis13–10.0719%22 Oct →
mirage9–130.0128%22 Oct →
mirage12–10.1219%21 Oct →
anubis4–13-0.0922%21 Oct →
mirage10–13-0.0715%21 Oct →
mirage13–10-0.0112%20 Oct →
mirage9–130.0115%20 Oct →
vertigo13–10.0734%20 Oct →
anubis6–13-0.0114%19 Oct →
mirage16–140.0314%19 Oct →
anubis11–13-0.0211%18 Oct →
nuke13–70.0419%18 Oct →
nuke13–90.1017%18 Oct →
anubis8–130.0012%5 Oct →
anubis13–5-0.0123%3 Oct →
nuke9–13-0.0014%3 Oct →
mirage14–160.0314%2 Oct →
nuke5–13-0.0115%2 Oct →
nuke13–50.054%1 Oct →
nuke13–20.1212%1 Oct →
mirage11–16-0.0511%26 Sept →
inferno10–16-0.0311%25 Sept →
nuke16–50.0711%25 Sept →
nuke16–8-0.0411%24 Sept →
inferno16–20.028%24 Sept →
nuke16–10-0.0211%23 Sept →
inferno5–16-0.077%23 Sept →
vertigo22–200.0510%22 Sept →
inferno16–130.0313%22 Sept →
mirage3–16-0.0112%22 Sept →
inferno16–130.0415%21 Sept →
inferno16–11-0.042%21 Sept →
nuke11–16-0.0511%20 Sept →
mirage16–70.0218%18 Sept →
inferno16–20.0813%18 Sept →
nuke16–6-0.0215%17 Sept →
ancient11–16-0.0512%19 Aug →
inferno14–16-0.0313%15 Aug →
inferno3–16-0.0724%15 May →
ancient22–190.0516%14 May →
inferno16–8-0.029%14 May →
dust24–90.0218%14 May →
inferno17–190.0210%1 Apr →
dust29–160.028%1 Apr →
inferno6–16-0.0210%1 Apr →
nuke16–100.0216%31 Mar →
ancient12–16-0.0218%30 Mar →
nuke9–16-0.0110%30 Mar →
ancient13–160.016%29 Mar →
nuke8–16-0.082%29 Mar →
ancient16–14-0.029%28 Mar →
vertigo16–140.038%25 Mar →
dust29–0-0.0216%25 Mar →
inferno8–80.074%25 Mar →
mirage9–6-0.074%23 Mar →
mirage7–9-0.0810%23 Mar →
mirage9–40.067%23 Mar →
inferno4–9-0.129%23 Mar →
vertigo9–50.043%23 Mar →
mirage4–90.0619%23 Mar →
mirage9–30.058%23 Mar →
mirage9–60.0526%23 Mar →
overpass9–5-0.017%23 Mar →
mirage2–9-0.0110%23 Mar →
dust25–16-0.0510%22 Mar →
mirage19–170.009%22 Mar →
nuke8–160.0314%22 Mar →
inferno19–170.018%21 Mar →
inferno16–130.017%21 Mar →
mirage16–10-0.038%20 Mar →
inferno13–16-0.0512%20 Mar →

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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