x1re

x1re — CS2 Stats

76561198931478447[U:1:971212719]Steam profile ↗✓ No bans

1,872Tracked matches52%Win rate2020Tracked since
3,363Hours in CS
CSDB Rating6.4 SolidPositional Player
Premier CS Rating26,245Top 10% of 212,379 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)
CSDB Leaderboard#11696 of 259298 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (6 days ago). 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: 26,245 +2 27 Aug – 26 Oct · 33 days played
23,96126,294peak 26,29427 Aug26 Oct
26,588Peak Premier in tracked matches
38Days played since 2026-08-27

Premier CS Rating

  • 49 below peak (26,294)
  • +1,558 over 30 days · improving
  • Next: Gold band at 30,000 — 3,755 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-29
  • Pink band first seen 2026-08-29

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=15,525), 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 rate40.0%46.8%48.2%8.2% short
Shot accuracy10.5%13.0%13.2%2.7% short
Kill/death ratio1.031.061.070.04 short
Match win rate45.0%46.3%46.9%1.9% short

This profile sits below the typical Level 9 player on every metric we can compare.

Widest gap: Shot accuracy. 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.GGx1reFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER26,245 · 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

Aim83
Positioning60
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY52–43–5Last 10052%Win rateWLWLWWWLLL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −2.8pp 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 23%
  • Avg reaction 473ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 484ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 484ms

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 (+2.2 against its own average).

Aim8.3
Utility4.2
Positioning6.0
Opening Duels1.6
Clutch3.6

Strong CT-side opener

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

b1t

Plays most like b1t 90% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: 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

Areas to improve

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

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

Aim8.3
Positioning6.0
Utility4.2
Mechanics6.3
Opening Duels2.7
Win Impact5.6

Composite 6.4/10 (Solid), 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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time472ms−19ms
first ⅓ avg 491ms → last ⅓ avg 472ms
Headshot accuracy23.2%+1.1%
first ⅓ avg 22.0% → last ⅓ avg 23.2%

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 · 5–0 · cache, 27 Aug →
67%Best headshot accuracy · 4–0 · office, 6 Sept →
352msFastest reaction time · 13–5 · ancient, 20 Oct →
13–0Biggest win · anubis, 19 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 63% over 8ancientWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
dust2A2514–1156%0.00
mirageA1710–759%-0.01
ancientC125–742%-0.02
cacheB115–645%0.02
nukeA85–363%-0.04
infernoC73–443%-0.02
anubisC73–443%-0.00
vertigoB63–350%0.02
officeA53–260%0.01
train—21–150%0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

156,438Lifetime kills
1.03K/D
9,179Matches
45.0%Match win rate
40.0%Headshot %
10.5%Shot accuracy
17,153MVPs
3,363Hours (in match)
11,014Bombs planted
1,884Bombs defused

Most-used weapons

AWP48,232
AK-4732,480
MAC-105,384
MP94,690
P904,288
Knife2,869

Lifetime map wins

51,652dust2
7,189inferno
2,953vertigo
1,346nuke
490train
365office
124safehouse
104lake

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

Faceit stats

Combat

854Matches
52%Win rate
1.22Avg K/D
80.0ADR
40%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust27256%1.2717.3
Mirage4749%1.1216.3
Ancient4060%1.2017.1
Anubis3155%1.0516.5
Inferno2450%1.0916.9
Vertigo978%1.1917.3
Cache862%1.6416.8
Nuke850%1.0316.3

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.

23.7%Headshot accuracy
31.5%Accuracy (enemy spotted)
32.9%Spray accuracy
78.3%Counter-strafing
7.4°Preaim
471msReaction time
37.2%T opening success
44.7%CT opening success
0.65Enemies flashed / flash
5.4%Flash assists
4.53HE damage / grenade
6.90Flashes / 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 37.1736% — 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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
office13–100.0428%29 Oct →
office9–130.0123%28 Oct →
dust213–4-0.1025%27 Oct →
ancient1–13-0.0320%26 Oct →
mirage16–14-0.0319%26 Oct →
mirage13–90.0319%25 Oct →
inferno13–90.0016%25 Oct →
nuke6–130.0122%23 Oct →
dust210–130.0450%23 Oct →
anubis9–13-0.0214%23 Oct →
dust25–13-0.0237%23 Oct →
cache12–120.0332%21 Oct →
mirage9–13-0.0215%21 Oct →
cache12–120.1024%21 Oct →
dust213–8-0.0228%21 Oct →
dust29–13-0.0115%20 Oct →
mirage13–10-0.0326%20 Oct →
nuke9–13-0.0216%20 Oct →
dust213–8-0.0229%20 Oct →
ancient13–5-0.0340%20 Oct →
mirage13–9-0.0511%20 Oct →
ancient13–11-0.0129%20 Oct →
cache14–16-0.0422%19 Oct →
ancient4–13-0.1014%19 Oct →
mirage13–5-0.0323%19 Oct →
ancient13–100.0324%14 Oct →
mirage10–13-0.0417%14 Oct →
mirage13–40.0424%14 Oct →
anubis15–15-0.0126%14 Oct →
ancient5–130.0427%14 Oct →
dust213–70.0627%14 Oct →
cache13–20.0915%12 Oct →
inferno2–13-0.139%12 Oct →
cache13–10-0.0219%12 Oct →
nuke13–11-0.0716%12 Oct →
anubis13–10-0.047%9 Oct →
dust213–60.0621%9 Oct →
anubis5–13-0.0117%9 Oct →
train13–90.1227%8 Oct →
cache2–13-0.0617%7 Oct →
train11–130.0627%7 Oct →
mirage8–130.0217%6 Oct →
inferno13–50.0610%6 Oct →
nuke13–11-0.0516%6 Oct →
dust213–4-0.0024%6 Oct →
ancient9–130.0531%6 Oct →
inferno13–70.0527%4 Oct →
dust213–70.0630%4 Oct →
dust213–50.0630%4 Oct →
cache13–9-0.0519%4 Oct →
mirage10–13-0.0222%3 Oct →
cache5–13-0.0515%3 Oct →
vertigo13–100.0625%1 Oct →
vertigo13–100.0130%1 Oct →
inferno0–13-0.0538%1 Oct →
nuke13–8-0.0414%26 Sept →
nuke13–6-0.0224%26 Sept →
nuke13–9-0.0616%25 Sept →
nuke5–13-0.0415%25 Sept →
ancient10–13-0.0712%25 Sept →
dust28–130.0322%25 Sept →
vertigo12–120.0515%24 Sept →
vertigo2–13-0.0314%23 Sept →
inferno0–13-0.0829%23 Sept →
vertigo13–7-0.0331%23 Sept →
vertigo11–130.0614%22 Sept →
ancient13–10.0131%22 Sept →
mirage13–11-0.0314%22 Sept →
mirage7–100.0624%21 Sept →
dust22–13-0.0522%20 Sept →
dust29–13-0.0713%19 Sept →
anubis13–00.1027%19 Sept →
dust214–160.0316%16 Sept →
mirage13–6-0.0131%16 Sept →
anubis11–130.0222%16 Sept →
mirage13–50.058%14 Sept →
ancient1–13-0.0318%14 Sept →
dust211–130.0018%14 Sept →
inferno7–130.0026%10 Sept →
anubis13–3-0.0439%10 Sept →
dust213–9-0.0724%10 Sept →
cache16–130.0022%10 Sept →
ancient16–14-0.059%9 Sept →
dust216–14-0.058%8 Sept →
dust213–100.0110%8 Sept →
dust25–13-0.0313%6 Sept →
office8–13-0.0718%6 Sept →
office4–00.0467%6 Sept →
mirage1–13-0.1027%4 Sept →
mirage8–13-0.0413%4 Sept →
cache7–130.0317%3 Sept →
office13–100.0319%2 Sept →
dust213–11-0.0333%2 Sept →
ancient10–13-0.0429%1 Sept →
dust213–50.1325%1 Sept →
dust21–13-0.0533%31 Aug →
dust212–120.0122%31 Aug →
cache5–00.1522%27 Aug →
dust213–70.0725%27 Aug →
mirage13–60.0612%27 Aug →

Match data via Leetify.

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.