RoppeN

RoppeN — CS2 Stats

FI76561199805779601[U:1:1845513873]Steam profile ↗✓ No bans

1,078Tracked matches38%Win rate2024Tracked since
CSDB Rating2.9 LearningPositional Player
FaceitLevel 3 · 729 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 10,271 +3,593 13 Mar – 21 Apr · 15 days played
5,42110,568peak 10,56813 Mar21 Apr
10,864Peak Premier in tracked matches
729Highest Faceit ELO seen on CSDB
27Days played since 2026-03-13

Faceit ELO

  • At peak — 729
  • Next: Level 3 at 751 — 22 to go
  • Reached: Level 2

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

Share this profile

CSDB.GGRoppeNFACEITLevel 3 · 729 ELOSTANDINGTop 90.6% of rankedPEAK ELO729csdb.gg/stats

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Performance scores

Aim38
Positioning45
Utility40

0–100 skill scores via Leetify.

Recent form

COLD45–50–5Last 10045%Win rateLLLLLLLLLL

Last 10 vs previous 10: −40pp win rate · −0.10 avg rating · −0.9pp headshot accuracy · +102ms reaction

Win rate down 40pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 18%
  • Avg reaction 666ms

Last 10

  • 0–10 · 0% win rate
  • Avg rating -0.10
  • Avg headshot accuracy 14%
  • Avg reaction 676ms

Last 20

  • 4–16 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 625ms

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 (+1.7 against its own average).

Aim3.8
Utility4.0
Positioning4.5
Opening Duels0.6
Clutch2.2

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

Reaction time. 607ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.8
Positioning4.5
Utility4.0
Mechanics2.8
Opening Duels0.3
Win Impact1.0

Composite 2.9/10 (Learning), 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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time620ms−61ms
first ⅓ avg 681ms → last ⅓ avg 620ms
Headshot accuracy13.7%+0.6%
first ⅓ avg 13.1% → last ⅓ avg 13.7%

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

0.16Best match rating · 13–4 · ancient, 18 Mar →
43%Best headshot accuracy · 7–9 · inferno, 16 Apr →
453msFastest reaction time · 13–6 · inferno, 12 Oct →
13–1Biggest win · train, 22 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L11Current streak
12–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

overpassBest map · 63% over 8dust2Weakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
nukeB199–1047%-0.01
anubisC188–1044%-0.02
ancientC188–1044%0.02
dust2D154–1127%0.00
infernoB105–550%-0.06
overpassA85–363%-0.05
vertigoC52–340%-0.02
mirage—21–150%-0.01
train—22–0100%0.09
cache—10–10%-0.06
office—11–0100%0.01
poseidon—10–10%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

170Matches
49%Win rate
0.93Avg K/D
73.2ADR
41%Headshot %

Clutches & streaks

31%1v1 clutch win
22%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke4753%0.9614.7
Ancient3746%0.9514.9
Dust23551%0.8212.6
Train1650%1.0216.7
Mirage1625%0.8313.8
Anubis1457%1.0513.8
Inferno333%1.2119.7
Overpass2100%0.9821.5

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.

13.5%Headshot accuracy
32.7%Accuracy (enemy spotted)
37.1%Spray accuracy
62.6%Counter-strafing
12.0°Preaim
607msReaction time
29.6%T opening success
32.7%CT opening success
0.56Enemies flashed / flash
9.1%Flash assists
4.94HE damage / grenade
8.37Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.4863% — below the 15% mark we flag

    Aim Training →
  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 29.5737% — 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.

27% win rate across 15 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
nuke7–13-0.0714%23 Oct →
dust21–13-0.0136%23 Oct →
anubis5–13-0.076%23 Oct →
nuke7–13-0.0612%23 Oct →
cache2–13-0.0625%23 Oct →
anubis2–13-0.0911%23 Oct →
nuke2–9-0.108%22 Oct →
inferno1–9-0.228%22 Oct →
inferno0–9-0.2311%22 Oct →
mirage3–13-0.085%19 Oct →
dust27–13-0.0214%14 Oct →
inferno13–40.0515%14 Oct →
dust27–13-0.0715%12 Oct →
inferno13–6-0.0322%12 Oct →
anubis13–20.0125%12 Oct →
ancient5–13-0.0510%2 Oct →
ancient14–16-0.0410%20 Sept →
dust27–130.107%9 Jul →
train13–10.0515%22 Apr →
ancient2–120.0513%21 Apr →
anubis15–150.0311%19 Apr →
vertigo6–13-0.0413%19 Apr →
ancient11–130.1215%19 Apr →
anubis13–10-0.0110%19 Apr →
ancient13–16-0.039%19 Apr →
inferno13–110.013%19 Apr →
mirage13–40.0611%19 Apr →
ancient11–13-0.0718%17 Apr →
ancient7–13-0.0215%17 Apr →
nuke13–11-0.017%17 Apr →
anubis13–60.0515%17 Apr →
office13–50.0133%16 Apr →
train13–50.1313%16 Apr →
vertigo13–30.0116%16 Apr →
overpass9–6-0.0913%16 Apr →
inferno7–9-0.0543%16 Apr →
inferno11–130.017%15 Apr →
ancient7–130.0112%15 Apr →
ancient13–60.0818%15 Apr →
nuke8–13-0.0716%12 Apr →
nuke3–13-0.017%12 Apr →
anubis3–13-0.079%12 Apr →
ancient13–110.106%12 Apr →
dust213–50.0412%12 Apr →
vertigo3–13-0.036%9 Apr →
overpass13–11-0.0214%9 Apr →
dust28–13-0.057%9 Apr →
nuke13–11-0.0614%8 Apr →
anubis4–13-0.0910%8 Apr →
nuke13–70.0918%8 Apr →
nuke13–110.1213%8 Apr →
overpass5–9-0.1214%8 Apr →
anubis13–11-0.0313%7 Apr →
inferno13–110.0111%7 Apr →
ancient13–100.0018%7 Apr →
anubis9–13-0.0813%7 Apr →
anubis13–110.1015%7 Apr →
dust210–130.0117%7 Apr →
anubis13–6-0.015%7 Apr →
ancient13–60.0928%30 Mar →
nuke13–7-0.0010%30 Mar →
dust28–13-0.0712%30 Mar →
anubis11–13-0.028%30 Mar →
anubis13–80.0020%29 Mar →
overpass13–70.0010%29 Mar →
dust215–15-0.0614%29 Mar →
dust25–00.1411%29 Mar →
poseidon7–9-0.0725%26 Mar →
inferno9–7-0.036%26 Mar →
dust213–90.0412%25 Mar →
overpass13–8-0.0417%25 Mar →
nuke13–80.0517%25 Mar →
ancient13–4-0.0411%25 Mar →
anubis8–13-0.097%25 Mar →
vertigo8–80.0013%25 Mar →
ancient13–50.1118%25 Mar →
dust213–20.0729%25 Mar →
ancient1–13-0.0415%24 Mar →
vertigo9–7-0.0341%24 Mar →
dust26–13-0.1110%20 Mar →
ancient3–13-0.095%20 Mar →
overpass13–100.007%20 Mar →
dust28–130.0218%20 Mar →
nuke8–13-0.039%20 Mar →
anubis10–13-0.0113%20 Mar →
anubis8–13-0.048%18 Mar →
nuke8–13-0.037%18 Mar →
ancient13–40.1615%18 Mar →
anubis13–9-0.0210%18 Mar →
nuke13–100.015%18 Mar →
overpass11–13-0.066%18 Mar →
nuke13–110.059%18 Mar →
nuke6–130.039%18 Mar →
nuke8–8-0.056%18 Mar →
nuke9–50.009%15 Mar →
inferno8–8-0.0623%15 Mar →
dust24–130.0115%13 Mar →
overpass7–13-0.0713%13 Mar →
nuke10–13-0.0314%13 Mar →
ancient13–60.0314%13 Mar →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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