♛Rolling Papers

♛Rolling Papers — CS2 Stats

DE76561197962429953[U:1:2164225]Steam profile ↗✓ No bans

882Tracked matches41%Win rate2023Tracked since
1,078Hours in CS18Hrs last 2 wks
CSDB Rating5.1 DevelopingPositional Player
CSDB Leaderboard#85479 of 259820 tracked
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 19,999 +413 10 Jan – 17 Jan · 2 days played
19,58619,999peak 19,99910 Jan17 Jan
19,999Peak Premier in tracked matches
36Days played since 2026-01-10

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

Performance scores

Aim67
Positioning52
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY43–53–4Last 10043%Win rateLWLLWLWLLW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · −1.7pp headshot accuracy · +46ms 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 -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 667ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 652ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 629ms

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 (+1.5 against its own average).

Aim6.7
Utility4.3
Positioning5.2
Opening Duels1.7

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 94% 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

Reaction time. 644ms 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

Aim6.7
Positioning5.2
Utility4.3
Mechanics6.0
Opening Duels3.0
Win Impact2.1

Composite 5.1/10 (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-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time639ms−34ms
first ⅓ avg 673ms → last ⅓ avg 639ms
Headshot accuracy16.0%+1.0%
first ⅓ avg 14.9% → last ⅓ avg 16.0%

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 · 13–11 · cache, 16 Oct →
44%Best headshot accuracy · 3–13 · ancient, 20 Oct →
422msFastest reaction time · 4–9 · inferno, 6 Oct →
13–0Biggest win · inferno, 3 Nov →

Across the last 100 tracked matches.

Highlights

7Longest win streak
3–4In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 67% over 6vertigoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C3815–2339%-0.03
mirageB179–853%0.01
vertigoD103–730%-0.01
nukeC73–443%-0.05
infernoD62–433%-0.01
anubisS64–267%-0.03
cacheC52–340%0.01
ancient—40–40%-0.01
train—32–167%-0.03
overpass—21–150%-0.02
palacio—11–0100%0.02
golden—11–0100%0.00

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,950Lifetime kills
0.97K/D
862Matches
46.6%Match win rate · Top 50% of tracked players
37.5%Headshot %
9.8%Shot accuracy
1,870MVPs
347Hours (in match)
624Bombs planted
155Bombs defused

Most-used weapons

Lifetime map wins

1,968dust2
1,162inferno
984nuke
522vertigo
304train
51office
12italy
2ar_shoots

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.0%Headshot accuracy
36.4%Accuracy (enemy spotted)
37.3%Spray accuracy
76.9%Counter-strafing
8.3°Preaim
644msReaction time
44.7%T opening success
39.2%CT opening success
0.53Enemies flashed / flash
1.3%Flash assists
5.54HE damage / grenade
6.39Flashes / 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 39.181% — below the 40% mark we flag

Spend your practice time on Vertigo

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno4–13-0.0017%3 Nov →
inferno13–0-0.0514%3 Nov →
dust27–13-0.0512%3 Nov →
ancient8–13-0.0219%2 Nov →
inferno13–90.1223%28 Oct →
dust22–13-0.096%28 Oct →
dust213–70.0119%28 Oct →
mirage6–130.1026%27 Oct →
dust24–13-0.009%27 Oct →
anubis13–100.0213%26 Oct →
inferno4–130.0018%25 Oct →
nuke10–13-0.0912%25 Oct →
dust25–13-0.0514%25 Oct →
dust211–13-0.069%24 Oct →
anubis4–13-0.0512%24 Oct →
mirage8–13-0.0213%24 Oct →
mirage13–100.0410%20 Oct →
ancient3–13-0.0444%20 Oct →
mirage13–100.0022%19 Oct →
mirage9–13-0.0119%18 Oct →
mirage13–11-0.0111%18 Oct →
anubis13–5-0.0322%18 Oct →
overpass12–120.0114%18 Oct →
mirage13–40.0017%17 Oct →
dust21–130.0422%16 Oct →
cache13–110.1511%16 Oct →
anubis13–6-0.0513%16 Oct →
vertigo9–130.0117%16 Oct →
dust213–6-0.039%15 Oct →
mirage4–13-0.0523%15 Oct →
mirage4–13-0.0610%14 Oct →
vertigo2–13-0.0523%13 Oct →
anubis13–40.024%12 Oct →
mirage13–8-0.0213%12 Oct →
nuke13–6-0.0423%11 Oct →
dust213–5-0.0721%11 Oct →
vertigo8–13-0.0023%11 Oct →
anubis5–13-0.098%11 Oct →
cache10–13-0.0213%11 Oct →
overpass13–6-0.0410%11 Oct →
vertigo10–13-0.0213%11 Oct →
nuke6–9-0.0614%11 Oct →
vertigo12–12-0.0210%11 Oct →
dust25–13-0.043%11 Oct →
nuke13–6-0.0216%11 Oct →
train3–13-0.0419%10 Oct →
vertigo9–13-0.0113%10 Oct →
vertigo13–40.023%10 Oct →
dust213–30.1015%10 Oct →
vertigo7–13-0.0920%10 Oct →
vertigo13–7-0.0118%10 Oct →
dust20–7-0.044%10 Oct →
dust213–3-0.0114%10 Oct →
cache13–9-0.0116%10 Oct →
vertigo13–40.039%10 Oct →
dust27–13-0.0516%10 Oct →
dust27–13-0.0328%9 Oct →
dust29–13-0.0610%9 Oct →
mirage10–13-0.0220%9 Oct →
mirage13–6-0.0232%8 Oct →
dust213–40.0118%8 Oct →
inferno4–9-0.059%6 Oct →
dust211–13-0.1115%6 Oct →
dust210–1-0.0113%6 Oct →
dust20–13-0.0713%4 Oct →
dust213–90.0117%4 Oct →
nuke6–13-0.107%4 Oct →
dust210–13-0.085%3 Oct →
dust21–50.0030%3 Oct →
dust212–120.0212%30 Sept →
dust21–13-0.0713%29 Sept →
dust213–7-0.0417%28 Sept →
dust29–130.019%27 Sept →
cache4–13-0.0316%20 Aug →
dust24–11-0.0017%18 Aug →
dust213–4-0.0512%18 Aug →
dust23–13-0.0212%16 Aug →
mirage2–130.0314%16 Aug →
cache6–13-0.0226%16 Aug →
dust25–13-0.0413%15 Aug →
train13–11-0.1013%15 Aug →
mirage13–60.0633%17 Jan →
mirage12–10.0230%17 Jan →
dust213–5-0.0014%17 Jan →
dust213–10-0.0213%13 Jan →
palacio13–40.026%12 Jan →
golden13–50.0016%12 Jan →
mirage11–130.1111%11 Jan →
nuke12–12-0.0119%11 Jan →
ancient9–130.0312%11 Jan →
dust210–13-0.0220%11 Jan →
dust213–60.0522%11 Jan →
mirage13–60.035%11 Jan →
inferno4–9-0.107%11 Jan →
ancient11–13-0.0211%10 Jan →
dust213–7-0.047%10 Jan →
nuke3–13-0.0214%10 Jan →
train13–90.0411%10 Jan →
dust213–10-0.0014%10 Jan →
dust210–13-0.0819%10 Jan →

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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