_0re0__

_0re0__ — CS2 Stats

76561199493993301[U:1:1533727573]Steam profile ↗✓ No bans

2,147Tracked matches56%Win rate2023Tracked since
CSDB Rating5.5 SolidPositional Player
Premier CS Rating19,309Top 50% of 213,399 CSDB-tracked playersPurple band · top ~11.2% of ranked players (population est.)
CSDB Leaderboard#95712 of 260020 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Oct 2026 (16 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 19,309 → 19,309
0Faceit ELO · 969 → 969
+1Tracked matches · now 2,147
+2.0ppWin rate · 53.6% → 55.6%

Rating over time

Premier CS Rating: 19,309 +4,705 6 Aug – 20 Oct · 25 days played
13,66220,104peak 20,1046 Aug20 Oct
Faceit ELO: 969 +0 30 Aug – 20 Oct · 3 observations
969969peak 96930 Aug20 Oct
20,104Peak Premier in tracked matches
969Highest Faceit ELO seen on CSDB
35Days played since 2026-08-06

Faceit ELO

  • At peak — 969
  • 0 over 30 days · steady
  • Next: Level 5 at 1,051 — 82 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-08-30
  • Level 3 first seen 2026-08-30

Premier CS Rating

  • 795 below peak (20,104)
  • +2,200 over 30 days · improving
  • Next: Pink band at 20,000 — 691 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-20
  • Blue band first seen 2026-08-30

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.

Share this profile

CSDB.GG_0re0__PREMIER19,309 · Purple band30 DAYS0 ELOPEAK ELO969csdb.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

Aim59
Positioning76
Utility8

0–100 skill scores via Leetify.

Recent form

COLD47–42–11Last 10047%Win rateTLLLTLWWLL

Last 10 vs previous 10: −50pp win rate · −0.01 avg rating · −1.1pp headshot accuracy · +13ms reaction

Win rate down 50pp 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

  • 0–3–2 · 0% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 594ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 583ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 577ms

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 (+3.4 against its own average).

Aim5.9
Utility0.8
Positioning7.6
Opening Duels4.8
Clutch3.6

Limited 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

s1mple

Plays most like s1mple 64% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Strengths

T openings. 65% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 65% on T to 49% on CT — first contacts on the defending side are being lost.

Reaction time. 568ms 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

Aim5.9
Positioning7.6
Utility0.8
Mechanics4.9
Opening Duels6.8
Win Impact6.9

Composite 5.5/10 (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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time576ms+2ms
first ⅓ avg 573ms → last ⅓ avg 576ms
Headshot accuracy17.3%−0.8%
first ⅓ avg 18.1% → last ⅓ avg 17.3%

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

0.13Best match rating · 13–2 · mirage, 17 Sept →
38%Best headshot accuracy · 4–2 · shelter, 27 Sept →
359msFastest reaction time · 7–13 · nuke, 21 Sept →
13–2Biggest win · mirage, 7 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–2In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 63% over 24dust2Weakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA2415–963%0.00
mirageC156–940%0.00
ancientC146–843%-0.00
boulderC114–736%0.04
cacheA106–460%0.00
dust2D50–50%-0.04
train—40–40%-0.01
shelter—42–250%0.00
nuke—32–167%0.02
anubis—33–0100%0.02
fachwerk—21–150%0.03
overpass—21–150%0.02
vertigo—21–150%0.07
italy—10–10%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

35Matches
40%Win rate
0.82Avg K/D
72.9ADR
50%Headshot %

Clutches & streaks

38%1v1 clutch win
14%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1267%0.9314.6
Inferno520%0.7713.4
Ancient425%0.549.8
Dust240%0.7512.0
Anubis425%0.7212.8
Nuke10%0.8814.0
Overpass1100%0.8511.0

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.

16.8%Headshot accuracy
31.4%Accuracy (enemy spotted)
35.1%Spray accuracy
71.9%Counter-strafing
9.5°Preaim
568msReaction time
65.0%T opening success
49.2%CT opening success
0.02Enemies flashed / flash
0.0%Flash assists
6.68HE damage / grenade
0.38Flashes / 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 0.0227 — below the 0.5 mark we flag

    Grenade Lineups →
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.

0% win rate across 5 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
inferno12–12-0.0216%20 Oct →
fachwerk5–13-0.0316%16 Oct →
train5–13-0.0221%16 Oct →
ancient4–13-0.0116%15 Oct →
mirage15–150.0914%15 Oct →
mirage5–130.0013%15 Oct →
cache13–50.0215%10 Oct →
overpass11–30.0226%10 Oct →
mirage6–13-0.0315%9 Oct →
cache11–13-0.0316%9 Oct →
nuke13–60.0115%8 Oct →
inferno13–40.0515%8 Oct →
cache13–9-0.0513%7 Oct →
mirage13–20.0028%7 Oct →
ancient5–13-0.0615%7 Oct →
anubis13–70.0417%7 Oct →
mirage13–50.0220%7 Oct →
inferno11–130.0119%7 Oct →
cache16–130.0224%6 Oct →
dust27–130.0014%6 Oct →
inferno13–90.1016%6 Oct →
mirage13–70.0014%5 Oct →
inferno13–6-0.0816%5 Oct →
inferno4–0-0.0220%5 Oct →
mirage2–13-0.0511%4 Oct →
ancient13–6-0.0115%3 Oct →
mirage12–120.039%3 Oct →
cache9–130.0017%3 Oct →
vertigo13–70.0827%3 Oct →
boulder2–13-0.0117%3 Oct →
dust26–13-0.0517%3 Oct →
inferno13–60.0526%2 Oct →
mirage15–15-0.0319%2 Oct →
inferno13–11-0.0226%1 Oct →
cache8–13-0.1110%1 Oct →
anubis13–6-0.0311%30 Sept →
overpass8–130.0224%30 Sept →
shelter13–30.0828%30 Sept →
mirage10–13-0.0315%29 Sept →
inferno3–13-0.0419%29 Sept →
ancient15–15-0.0313%28 Sept →
ancient5–13-0.0817%28 Sept →
train7–130.0112%27 Sept →
italy12–120.0116%27 Sept →
shelter4–20.0238%27 Sept →
inferno7–130.0117%27 Sept →
inferno13–6-0.0211%27 Sept →
dust29–13-0.0311%27 Sept →
inferno13–10-0.0033%26 Sept →
inferno13–30.0119%26 Sept →
vertigo6–90.0531%26 Sept →
cache13–60.0523%26 Sept →
inferno8–130.0115%26 Sept →
cache12–120.0118%24 Sept →
inferno10–130.0313%24 Sept →
cache13–100.0013%24 Sept →
nuke13–70.1131%23 Sept →
dust23–13-0.0724%22 Sept →
train12–12-0.0130%22 Sept →
inferno9–10.019%22 Sept →
ancient5–13-0.035%22 Sept →
dust212–12-0.0514%22 Sept →
nuke7–13-0.0420%21 Sept →
inferno7–13-0.0720%21 Sept →
boulder5–130.0714%20 Sept →
mirage9–13-0.0019%20 Sept →
ancient13–100.0018%20 Sept →
inferno16–140.0422%19 Sept →
mirage13–6-0.0313%19 Sept →
ancient10–10.0219%19 Sept →
ancient13–6-0.0015%19 Sept →
inferno16–140.1024%19 Sept →
shelter12–12-0.0216%18 Sept →
fachwerk13–100.0926%18 Sept →
inferno13–7-0.0312%18 Sept →
ancient7–13-0.0219%18 Sept →
inferno13–50.0313%18 Sept →
inferno13–8-0.0511%17 Sept →
mirage13–20.1321%17 Sept →
inferno10–13-0.0212%17 Sept →
boulder4–13-0.0118%15 Sept →
mirage16–14-0.077%14 Sept →
ancient5–13-0.0522%16 Aug →
boulder8–13-0.0515%16 Aug →
boulder7–130.1116%13 Aug →
boulder13–80.0113%13 Aug →
train3–13-0.0125%13 Aug →
boulder3–13-0.0411%10 Aug →
boulder13–30.1320%10 Aug →
ancient12–120.0521%10 Aug →
inferno3–13-0.0618%9 Aug →
shelter2–13-0.0923%9 Aug →
boulder13–80.0519%8 Aug →
ancient13–100.0918%8 Aug →
boulder3–130.0313%7 Aug →
boulder13–50.1117%7 Aug →
mirage7–13-0.0232%6 Aug →
anubis13–90.0419%6 Aug →
ancient13–100.0928%6 Aug →
cache13–30.1022%6 Aug →

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.