Xiepo

Xiepo — CS2 Stats

76561198068955297[U:1:108689569]Steam profile ↗✓ No bans

1,289Tracked matches45%Win rate2021Tracked since
859Hours in CS
CSDB Rating4.7 DevelopingClutch Specialist
Premier CS Rating17,438Purple band · top ~18.7% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 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: 17,438 -1,978 29 Aug – 29 Oct · 30 days played
17,35319,416peak 19,41629 Aug29 Oct
19,942Peak Premier in tracked matches
33Days played since 2026-08-22

Premier CS Rating

  • 1,978 below peak (19,416)
  • -668 over 30 days · declining
  • Next: Pink band at 20,000 — 2,562 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches60——
Win rate43%——
K/D0.72——
Headshot %46%——

Measured 27 Sep 2026 → 30 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate37.8%41.8%42.7%4.9% short
Shot accuracy11.6%12.2%11.2%above
Kill/death ratio0.810.980.990.18 short
Match win rate40.4%43.3%43.9%3.6% short

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

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGXiepoFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER17,438 · Purple 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

Aim60
Positioning44
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateWLLWWLWLLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +2.6pp headshot accuracy · −22ms 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 12%
  • Avg reaction 508ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 548ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 559ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.6 against its own average).

Aim6.0
Utility4.5
Positioning4.4
Opening Duels0.3
Clutch5.2

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 88% 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 587ms 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

Aim6.0
Positioning4.4
Utility4.5
Mechanics6.1
Opening Duels0.9
Win Impact3.3

Composite 4.7/10 (Developing), 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 rating-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time586ms−8ms
first ⅓ avg 595ms → last ⅓ avg 586ms
Headshot accuracy11.4%+0.7%
first ⅓ avg 10.7% → last ⅓ avg 11.4%

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

0.08Best match rating · 13–7 · anubis, 29 Aug →
30%Best headshot accuracy · 13–10 · ancient, 25 Oct →
367msFastest reaction time · 8–13 · dust2, 12 Sept →
13–1Biggest win · inferno, 10 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 67% over 9dust2Weakest map · 19% over 21
MapGradePlayedRecordWin rateAvg rating
dust2D214–1719%-0.04
cacheB189–950%-0.03
infernoB147–750%-0.04
mirageC125–742%-0.04
anubisB126–650%-0.01
nukeS96–367%-0.05
ancientC83–538%-0.02
fachwerk—21–150%0.03
vertigo—11–0100%-0.06
overpass—11–0100%0.04
italy—10–10%0.00
office—10–10%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (19% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,116Lifetime kills
0.81K/D
2,527Matches
40.4%Match win rate
37.8%Headshot %
11.6%Shot accuracy
3,814MVPs
859Hours (in match)
3,071Bombs planted
518Bombs defused

Most-used weapons

AK-478,915
XM10141,979
AWP1,765
Negev1,253
P901,012
MP7889

Lifetime map wins

3,438inferno
2,915dust2
1,798nuke
1,381vertigo
1,139office
747train
184cbble
159italy

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

Faceit stats

Combat

63Matches
54%Win rate
0.73Avg K/D
61.3ADR
38%Headshot %

Clutches & streaks

46%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Cache1182%0.8513.1
Dust2850%0.9114.5
Inferno875%0.659.5
Ancient743%0.718.9
Mirage650%0.7212.8
Anubis580%0.7910.2
Vertigo520%0.7310.4
Nuke10%0.448.0

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.

11.3%Headshot accuracy
36.8%Accuracy (enemy spotted)
36.5%Spray accuracy
77.3%Counter-strafing
10.4°Preaim
587msReaction time
33.2%T opening success
34.0%CT opening success
0.48Enemies flashed / flash
7.0%Flash assists
6.94HE damage / grenade
6.46Flashes / 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 11.3067% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4823 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 33.1658% — 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.

19% win rate across 21 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
ancient16–14-0.0013%29 Oct →
dust29–13-0.0110%29 Oct →
cache10–13-0.0610%29 Oct →
mirage13–7-0.0213%29 Oct →
nuke13–60.0115%28 Oct →
dust210–13-0.0324%28 Oct →
dust213–5-0.017%28 Oct →
cache2–13-0.106%27 Oct →
dust22–13-0.0811%27 Oct →
ancient11–13-0.0010%27 Oct →
nuke12–12-0.056%26 Oct →
vertigo13–4-0.064%26 Oct →
fachwerk3–13-0.023%26 Oct →
ancient13–10-0.0030%25 Oct →
ancient8–13-0.086%25 Oct →
inferno9–0-0.0113%25 Oct →
mirage1–10-0.100%25 Oct →
cache5–130.0216%23 Oct →
cache16–130.024%21 Oct →
ancient13–9-0.0112%21 Oct →
mirage6–13-0.0518%21 Oct →
dust213–11-0.056%19 Oct →
mirage13–11-0.0119%19 Oct →
nuke13–10-0.0112%19 Oct →
inferno1–13-0.096%19 Oct →
ancient10–13-0.008%18 Oct →
inferno5–13-0.065%18 Oct →
dust213–5-0.0417%18 Oct →
dust26–13-0.048%14 Oct →
dust23–13-0.0820%14 Oct →
dust23–13-0.0714%12 Oct →
mirage16–120.0419%12 Oct →
mirage13–110.0112%12 Oct →
inferno13–10.038%10 Oct →
inferno11–13-0.0112%10 Oct →
inferno9–130.0117%8 Oct →
mirage7–13-0.0321%8 Oct →
inferno13–60.0015%7 Oct →
cache9–13-0.0714%7 Oct →
cache13–60.0116%7 Oct →
anubis13–5-0.0218%1 Oct →
anubis9–13-0.065%1 Oct →
anubis11–13-0.0710%30 Sept →
mirage10–13-0.0515%30 Sept →
dust29–13-0.027%25 Sept →
anubis11–13-0.037%25 Sept →
cache13–70.0012%25 Sept →
nuke13–9-0.0410%24 Sept →
anubis15–150.0113%24 Sept →
dust213–8-0.0611%24 Sept →
cache15–15-0.0218%22 Sept →
dust25–13-0.0515%15 Sept →
inferno16–13-0.028%13 Sept →
dust25–130.0015%13 Sept →
ancient12–16-0.035%12 Sept →
anubis13–30.018%12 Sept →
dust28–13-0.083%12 Sept →
anubis9–13-0.0216%10 Sept →
anubis13–9-0.044%10 Sept →
dust211–13-0.0213%10 Sept →
anubis13–1-0.0211%10 Sept →
cache13–7-0.014%10 Sept →
inferno13–11-0.063%10 Sept →
nuke13–9-0.0412%10 Sept →
ancient9–13-0.0110%10 Sept →
inferno1–9-0.160%10 Sept →
overpass9–40.045%10 Sept →
mirage8–13-0.078%10 Sept →
dust25–13-0.0619%9 Sept →
nuke13–11-0.0915%9 Sept →
cache13–9-0.066%4 Sept →
cache13–11-0.028%2 Sept →
cache4–13-0.058%2 Sept →
anubis10–130.0218%2 Sept →
mirage13–8-0.0214%2 Sept →
anubis6–0-0.006%2 Sept →
inferno7–13-0.078%2 Sept →
inferno7–13-0.066%1 Sept →
dust210–13-0.0416%1 Sept →
nuke11–13-0.0812%1 Sept →
cache13–9-0.028%1 Sept →
dust211–13-0.0619%30 Aug →
cache9–13-0.0917%30 Aug →
mirage3–13-0.068%30 Aug →
nuke6–13-0.058%29 Aug →
anubis13–70.085%29 Aug →
dust24–13-0.0214%29 Aug →
cache13–8-0.0611%29 Aug →
cache16–12-0.055%29 Aug →
inferno13–40.0310%29 Aug →
cache14–16-0.0310%28 Aug →
inferno13–9-0.0714%28 Aug →
italy10–130.004%27 Aug →
fachwerk13–10.0713%27 Aug →
mirage7–13-0.0712%27 Aug →
cache7–13-0.059%27 Aug →
dust23–13-0.027%26 Aug →
office3–13-0.054%22 Aug →
dust23–13-0.0627%22 Aug →
nuke13–11-0.083%22 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 →

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