R3D

R3D — CS2 Stats

FR76561198318724124[U:1:358458396]Steam profile ↗✓ No bans

3,112Tracked matches55%Win rate2020Tracked since
6,340Hours in CS
CSDB Rating5.6 SolidSupport
FaceitLevel 9 · 1,911 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,911 → 1,911
+14Tracked matches · now 3,112
+1.6ppWin rate · 53.6% → 55.2%

Rating over time

Premier CS Rating: 22,737 -189 30 Jul – 6 Sept · 9 days played
22,73623,498peak 23,49830 Jul6 Sept
Faceit ELO: 1,911 +0 31 Aug – 23 Sept · 5 observations
1,9111,911peak 1,91131 Aug23 Sept
23,498Peak Premier in tracked matches
1,911Highest Faceit ELO seen on CSDB
35Days played since 2026-06-25

Faceit ELO

  • At peak — 1,911
  • 0 over 30 days · steady
  • Next: Level 10 at 2,001 — 90 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-31
  • Level 8 first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate48.6%48.2%50.9%2.3% short
Shot accuracy14.8%13.2%13.7%above
Kill/death ratio0.921.071.090.17 short
Match win rate47.3%46.9%48.4%1.1% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGR3DFACEITLevel 9 · 1,911 ELOSTANDINGTop 20.7% of ranked30 DAYS0 ELOPEAK ELO1,911csdb.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

Aim76
Positioning52
Utility56

0–100 skill scores via Leetify.

Recent form

HOT50–46–4Last 10050%Win rateLWWWLWLWWW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −0.3pp headshot accuracy · +1ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 566ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 539ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 539ms

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 (+1.5 against its own average).

Aim7.6
Utility5.6
Positioning5.2
Opening Duels1.9
Clutch3.6

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

NiKo

Plays most like NiKo 90% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.6
Positioning5.2
Utility5.6
Mechanics6.4
Opening Duels1.5
Win Impact6.7

Composite 5.6/10 (Solid), 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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time540ms−90ms
first ⅓ avg 630ms → last ⅓ avg 540ms
Headshot accuracy19.9%−2.9%
first ⅓ avg 22.8% → last ⅓ avg 19.9%

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 · 13–9 · dust2, 14 Aug →
67%Best headshot accuracy · 13–2 · dust2, 7 Jul →
398msFastest reaction time · 13–10 · nuke, 28 Aug →
13–2Biggest win · inferno, 1 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak
8–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 64% over 14ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B3315–1845%-0.01
infernoC156–940%-0.00
nukeA149–564%-0.01
cacheA127–558%-0.02
anubisA116–555%-0.02
ancientD62–433%-0.04
office—43–175%0.01
mirage—21–150%-0.03
train—10–10%-0.04
vertigo—10–10%-0.04
overpass—11–0100%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

272,345Lifetime kills
0.92K/D
12,516Matches
47.3%Match win rate · Top 50% of Level 9 players
48.6%Headshot % · Top 50% of Level 9 players
14.8%Shot accuracy · Top 50% of Level 9 players
40,421MVPs
6,340Hours (in match)
13,283Bombs planted
3,239Bombs defused

Most-used weapons

AK-4795,306
AWP33,623
UMP-453,934
P2503,753
FAMAS3,623
Knife3,359

Lifetime map wins

38,911dust2
26,309inferno
8,036nuke
6,746train
3,504vertigo
1,859cbble
237office
27aztec

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

Faceit stats

Combat

3,528Matches
50%Win rate
0.95Avg K/D
66.8ADR
46%Headshot %

Clutches & streaks

38%1v1 clutch win
17%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust230555%0.9513.2
Inferno23050%0.8812.4
Anubis18048%0.8712.9
Nuke13052%0.8613.1
Ancient12845%0.8112.3
Mirage8849%0.8812.8
Overpass7658%0.8812.6
Vertigo5544%0.8613.7

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.

19.6%Headshot accuracy
33.8%Accuracy (enemy spotted)
32.8%Spray accuracy
78.8%Counter-strafing
7.6°Preaim
544msReaction time
33.5%T opening success
38.8%CT opening success
0.57Enemies flashed / flash
5.4%Flash assists
6.72HE damage / grenade
8.53Flashes / 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 33.4513% — below the 40% mark we flag

Spend your practice time on Ancient

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke10–13-0.0725%30 Oct →
cache13–11-0.0315%30 Oct →
nuke13–100.0021%30 Oct →
ancient13–8-0.0114%29 Oct →
nuke11–13-0.0214%8 Oct →
anubis13–4-0.000%7 Sept →
ancient6–13-0.1229%7 Sept →
office13–9-0.0135%2 Sept →
office13–60.1120%2 Sept →
office13–4-0.0016%2 Sept →
anubis10–13-0.0614%1 Sept →
nuke7–13-0.0020%30 Aug →
dust213–50.0219%30 Aug →
nuke13–8-0.016%30 Aug →
dust213–10-0.0426%30 Aug →
train9–13-0.043%30 Aug →
cache10–13-0.0620%29 Aug →
nuke13–10-0.0229%28 Aug →
inferno13–80.1116%27 Aug →
nuke13–7-0.0138%27 Aug →
dust210–13-0.0435%27 Aug →
anubis13–9-0.0418%27 Aug →
inferno13–30.0139%26 Aug →
dust210–130.0114%26 Aug →
cache12–12-0.0121%26 Aug →
dust24–13-0.0324%26 Aug →
ancient9–130.0117%26 Aug →
dust213–8-0.013%26 Aug →
vertigo8–13-0.0410%26 Aug →
inferno10–13-0.0330%26 Aug →
anubis13–8-0.0115%25 Aug →
dust22–13-0.0423%25 Aug →
inferno12–120.0629%25 Aug →
anubis13–6-0.0224%24 Aug →
dust27–130.0232%24 Aug →
dust211–130.0414%24 Aug →
dust27–130.0318%24 Aug →
nuke13–90.0629%22 Aug →
cache16–140.0234%18 Aug →
dust213–110.0628%18 Aug →
anubis8–13-0.0332%18 Aug →
inferno6–13-0.0817%18 Aug →
cache4–130.0019%18 Aug →
dust213–90.0117%18 Aug →
anubis11–13-0.035%15 Aug →
dust213–9-0.0230%14 Aug →
dust27–130.0121%14 Aug →
dust23–13-0.0810%14 Aug →
dust213–3-0.0313%14 Aug →
dust213–90.1228%14 Aug →
cache14–16-0.059%12 Aug →
inferno10–13-0.0313%11 Aug →
dust213–40.0438%10 Aug →
inferno10–13-0.0117%9 Aug →
cache13–70.0123%6 Aug →
anubis13–9-0.029%6 Aug →
dust26–13-0.0712%6 Aug →
inferno7–13-0.0021%5 Aug →
mirage3–13-0.0229%5 Aug →
ancient8–13-0.0315%5 Aug →
ancient13–11-0.053%2 Aug →
inferno13–20.0011%1 Aug →
dust211–13-0.0322%1 Aug →
anubis7–13-0.0120%30 Jul →
mirage13–3-0.0415%30 Jul →
dust213–60.0220%30 Jul →
dust23–13-0.0536%30 Jul →
dust216–13-0.0121%25 Jul →
ancient8–13-0.0726%22 Jul →
anubis10–20.0317%22 Jul →
nuke13–10-0.0218%21 Jul →
cache13–10-0.103%21 Jul →
dust23–13-0.1213%21 Jul →
nuke13–80.0231%21 Jul →
dust213–9-0.0018%21 Jul →
inferno11–130.0119%21 Jul →
dust213–11-0.0427%21 Jul →
nuke13–6-0.0418%21 Jul →
inferno8–13-0.0032%21 Jul →
dust212–160.0227%21 Jul →
inferno13–11-0.0912%9 Jul →
dust213–9-0.0024%9 Jul →
nuke6–13-0.0324%8 Jul →
dust212–16-0.0110%8 Jul →
cache13–7-0.0215%8 Jul →
inferno8–130.0122%8 Jul →
anubis11–13-0.0725%8 Jul →
dust212–12-0.0817%7 Jul →
dust28–13-0.0511%7 Jul →
inferno13–11-0.0321%7 Jul →
inferno13–40.0322%7 Jul →
dust213–20.0167%7 Jul →
office5–13-0.0415%2 Jul →
dust212–120.0628%2 Jul →
cache13–5-0.0128%2 Jul →
overpass13–11-0.0326%2 Jul →
cache9–13-0.0338%1 Jul →
nuke13–7-0.0327%25 Jun →
nuke5–130.0313%25 Jun →
cache13–40.0134%25 Jun →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.