rE

rE — CS2 Stats

US76561198327171405[U:1:366905677]Steam profile ↗✓ No bans

1,583Tracked matches44%Win rate2020Tracked since
5,198Hours in CS31Hrs last 2 wks
CSDB Rating7.1 StrongSupport
Premier CS Rating25,000Top 25% of 204,793 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)
CSDB Leaderboard#20989 of 251863 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 25,000 +2,602 13 Aug – 15 Oct · 24 days played
21,18825,928peak 25,92813 Aug15 Oct
26,114Peak Premier in tracked matches
31Days played since 2026-08-13

Premier CS Rating

  • 928 below peak (25,928)
  • -504 over 30 days · declining
  • Next: Gold band at 30,000 — 5,000 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-10-13
  • Pink band first seen 2026-09-06

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

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,030), 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 8 medianLevel 9 medianvs Level 9
Headshot rate44.3%46.8%48.2%4.0% short
Shot accuracy13.5%13.0%13.3%meets
Kill/death ratio1.151.061.07above
Match win rate40.7%46.3%46.9%6.3% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGrEFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER25,000 · Red bandcsdb.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

Aim89
Positioning54
Utility62

0–100 skill scores via Leetify.

Recent form

COLD50–45–5Last 10050%Win rateLWWLLLWLLL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −1.5pp headshot accuracy · +37ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 563ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 546ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 528ms

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 (+2.2 against its own average).

Aim8.9
Utility6.2
Positioning5.4
Opening Duels2.6
Clutch1.8

Sharp aimerExcellent counter-strafing

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

Twistzz

Plays most like Twistzz 94% playstyle similarity

Most alike: aim profile, positioning 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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

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

Aim8.9
Positioning5.4
Utility6.2
Mechanics9.4
Opening Duels3.8
Win Impact3.1

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 time522ms+24ms
first ⅓ avg 498ms → last ⅓ avg 522ms
Headshot accuracy13.7%−1.5%
first ⅓ avg 15.3% → 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

0.11Best match rating · 13–7 · inferno, 3 Sept →
100%Best headshot accuracy · 2–0 · inferno, 4 Sept →
359msFastest reaction time · 5–13 · office, 2 Sept →
13–0Biggest win · train, 8 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 56% over 18trainWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB2210–1245%0.00
infernoA2011–955%-0.01
dust2A1810–856%-0.00
cacheB105–550%-0.02
ancientB84–450%0.00
anubisB63–350%-0.03
trainC52–340%0.04
officeC52–340%0.01
nuke—42–250%-0.04
vertigo—21–150%0.04

Across the last 100 tracked matches.

Lifetime stats

154,853Lifetime kills
1.15K/D · Top 50% of Level 8 players
5,963Matches
40.7%Match win rate
44.3%Headshot %
13.5%Shot accuracy · Top 50% of Level 8 players
11,542MVPs
2,401Hours (in match)
5,974Bombs planted
1,900Bombs defused

Most-used weapons

AK-4741,743
AWP15,572
P2507,693
UMP-455,078
Negev3,323

Lifetime map wins

8,902inferno
7,938dust2
3,389nuke
3,082train
1,593vertigo
546cbble
530office
110lake

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

Faceit stats

Combat

818Matches
51%Win rate
1.04Avg K/D
83.5ADR
36%Headshot %

Clutches & streaks

29%1v1 clutch win
31%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2085%1.2015.7
Inferno1267%1.1817.9
Dust2743%1.1416.7
Ancient4100%0.6811.5
Cache250%1.1212.0
Anubis250%0.609.5
Nuke1100%0.8916.0
Vertigo1100%3.0015.0

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.

13.7%Headshot accuracy
41.0%Accuracy (enemy spotted)
43.6%Spray accuracy
92.3%Counter-strafing
9.1°Preaim
518msReaction time
43.3%T opening success
47.4%CT opening success
0.62Enemies flashed / flash
6.2%Flash assists
5.91HE damage / grenade
15.71Flashes / 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 13.7125% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Train

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

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust211–130.0011%15 Oct →
dust213–5-0.0411%15 Oct →
inferno13–7-0.019%14 Oct →
nuke11–13-0.048%14 Oct →
dust28–130.009%14 Oct →
train7–130.0214%8 Oct →
train13–00.028%8 Oct →
inferno14–16-0.0314%30 Sept →
inferno3–13-0.0717%30 Sept →
mirage11–13-0.0114%29 Sept →
mirage3–13-0.1119%29 Sept →
dust213–3-0.032%29 Sept →
dust213–30.0722%27 Sept →
ancient10–13-0.0618%27 Sept →
inferno10–13-0.0612%26 Sept →
nuke13–9-0.0119%26 Sept →
dust213–2-0.0311%26 Sept →
cache5–13-0.0711%26 Sept →
vertigo12–12-0.0311%26 Sept →
mirage13–10.084%25 Sept →
mirage10–13-0.0322%20 Sept →
anubis5–13-0.0513%19 Sept →
anubis13–80.0519%19 Sept →
dust212–12-0.0212%16 Sept →
inferno13–90.0218%12 Sept →
cache6–13-0.0316%10 Sept →
inferno12–120.0621%10 Sept →
mirage13–90.0814%10 Sept →
ancient6–13-0.0315%10 Sept →
cache13–50.0511%9 Sept →
dust213–7-0.0215%9 Sept →
mirage13–80.0216%7 Sept →
dust28–130.0317%7 Sept →
anubis2–13-0.0731%7 Sept →
inferno14–160.0418%6 Sept →
vertigo13–20.1012%6 Sept →
mirage13–100.0418%6 Sept →
dust22–130.0211%5 Sept →
inferno2–13-0.1115%5 Sept →
dust213–90.0220%5 Sept →
office13–50.0817%5 Sept →
mirage6–13-0.0129%4 Sept →
inferno2–0-0.01100%4 Sept →
dust215–150.0418%4 Sept →
mirage13–11-0.0210%4 Sept →
inferno13–8-0.0212%4 Sept →
mirage3–110.0412%3 Sept →
ancient2–7-0.0120%3 Sept →
inferno13–10-0.0230%3 Sept →
mirage13–70.0412%3 Sept →
mirage13–70.0413%3 Sept →
mirage3–13-0.0215%3 Sept →
inferno13–70.1116%3 Sept →
dust215–15-0.0014%3 Sept →
inferno13–50.052%3 Sept →
office13–10-0.0110%2 Sept →
office5–13-0.047%2 Sept →
office7–130.0226%2 Sept →
ancient13–10-0.037%31 Aug →
mirage9–130.0110%31 Aug →
cache13–11-0.0213%31 Aug →
inferno3–00.0714%30 Aug →
cache13–30.0326%30 Aug →
ancient13–30.0724%30 Aug →
anubis16–14-0.0516%30 Aug →
cache14–16-0.0512%24 Aug →
dust213–4-0.0220%23 Aug →
mirage13–8-0.0114%23 Aug →
dust213–8-0.047%23 Aug →
mirage10–130.0214%23 Aug →
cache1–80.015%23 Aug →
mirage12–70.0128%23 Aug →
dust26–13-0.0729%23 Aug →
cache13–11-0.0218%23 Aug →
inferno7–130.0017%22 Aug →
anubis6–130.0112%22 Aug →
nuke13–16-0.0513%22 Aug →
mirage13–8-0.033%22 Aug →
nuke13–8-0.073%21 Aug →
cache16–13-0.0214%21 Aug →
ancient13–60.064%21 Aug →
office8–13-0.0129%21 Aug →
dust213–100.0215%20 Aug →
inferno13–6-0.063%20 Aug →
ancient13–50.0417%17 Aug →
inferno0–13-0.106%17 Aug →
ancient6–130.0114%17 Aug →
mirage9–13-0.0319%16 Aug →
inferno7–13-0.0413%16 Aug →
anubis13–7-0.0541%16 Aug →
dust213–90.0728%16 Aug →
cache8–13-0.039%16 Aug →
mirage5–13-0.0318%16 Aug →
inferno13–70.0112%16 Aug →
train5–30.1017%16 Aug →
mirage7–13-0.0814%15 Aug →
train11–130.0428%15 Aug →
train2–30.0117%15 Aug →
mirage11–130.0211%13 Aug →
inferno13–11-0.0214%13 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.