p1XeL

p1XeL — CS2 Stats

ES76561197966198535[U:1:5932807]Steam profile ↗✓ No bans

1,132Tracked matches45%Win rate2023Tracked since
CSDB Rating3.2 LearningSupport
Premier CS Rating12,314Blue band · top ~42.6% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (29 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: 12,314 +2,345 21 Jul – 13 Oct · 31 days played
9,96913,358peak 13,35821 Jul13 Oct
13,682Peak Premier in tracked matches
32Days played since 2026-07-13

Premier CS Rating

  • 1,044 below peak (13,358)
  • -769 over 30 days · declining
  • +2,345 over 90 days
  • Next: Purple band at 15,000 — 2,686 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-06
  • Light Blue 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.

Share this profile

CSDB.GGp1XeLFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER12,314 · Blue 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

Aim25
Positioning39
Utility64

0–100 skill scores via Leetify.

Recent form

COLD49–47–4Last 10049%Win rateLLWWLLWLLL

Last 10 vs previous 10: −40pp win rate · −0.00 avg rating · −3.9pp headshot accuracy · +12ms reaction

Win rate down 40pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 588ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 8%
  • Avg reaction 614ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 608ms

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 (+3.8 against its own average).

Aim2.5
Utility6.4
Positioning3.9
Opening Duels0.0
Clutch0.0

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 55% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

Reaction time. 610ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.5
Positioning3.9
Utility6.4
Mechanics3.6
Opening Duels0.0
Win Impact3.3

Composite 3.2/10 (Learning), 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-0.03−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time606ms−22ms
first ⅓ avg 628ms → last ⅓ avg 606ms
Headshot accuracy9.7%+0.6%
first ⅓ avg 9.1% → last ⅓ avg 9.7%

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

0.05Best match rating · 13–6 · inferno, 20 Aug →
28%Best headshot accuracy · 13–2 · inferno, 19 Aug →
359msFastest reaction time · 7–13 · inferno, 14 Aug →
13–2Biggest win · inferno, 19 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
13–10In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 64% over 33ancientWeakest map · 41% over 17
MapGradePlayedRecordWin rateAvg rating
infernoA3321–1264%-0.02
anubisC2410–1442%-0.02
ancientC177–1041%-0.03
nukeB178–947%-0.04
cache—41–325%-0.04
dust2—42–250%-0.02
mirage—10–10%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

31Matches
42%Win rate
0.91Avg K/D
65.9ADR
33%Headshot %

Clutches & streaks

18%1v1 clutch win
19%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient617%0.6912.2
Nuke540%0.7912.0
Vertigo560%0.9311.6
Dust2560%1.0114.6
Inferno475%1.0714.0
Anubis40%0.8412.0
Mirage250%1.4213.5

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.

9.9%Headshot accuracy
29.7%Accuracy (enemy spotted)
29.1%Spray accuracy
66.1%Counter-strafing
12.5°Preaim
610msReaction time
22.5%T opening success
22.3%CT opening success
0.53Enemies flashed / flash
3.2%Flash assists
10.37HE damage / grenade
12.54Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.5044° — above the 12° mark we flag

    Aim Training →
  2. 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 9.9031% — below the 15% mark we flag

    Aim Training →
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.

41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–13-0.038%13 Oct →
cache12–16-0.0810%13 Oct →
anubis16–14-0.025%9 Oct →
anubis13–9-0.019%1 Oct →
inferno8–13-0.0312%1 Oct →
cache9–130.0210%8 Sept →
anubis13–40.013%8 Sept →
ancient6–130.048%28 Aug →
ancient3–13-0.115%28 Aug →
ancient7–13-0.079%27 Aug →
inferno13–11-0.049%27 Aug →
inferno13–110.0213%26 Aug →
nuke13–11-0.046%26 Aug →
anubis13–16-0.088%25 Aug →
inferno13–5-0.0212%25 Aug →
nuke11–13-0.0015%25 Aug →
anubis13–11-0.0416%22 Aug →
anubis15–15-0.0513%21 Aug →
inferno13–60.0514%20 Aug →
nuke13–7-0.0510%20 Aug →
inferno11–13-0.0211%20 Aug →
anubis11–13-0.047%20 Aug →
nuke4–13-0.1110%20 Aug →
dust23–13-0.0613%20 Aug →
nuke13–7-0.040%19 Aug →
anubis0–13-0.020%19 Aug →
inferno13–20.0128%19 Aug →
inferno2–13-0.0510%18 Aug →
ancient10–130.0015%18 Aug →
inferno13–100.009%14 Aug →
inferno7–13-0.103%14 Aug →
inferno6–13-0.0711%14 Aug →
ancient13–7-0.0911%14 Aug →
nuke13–6-0.005%13 Aug →
inferno13–5-0.0117%13 Aug →
inferno13–60.0414%13 Aug →
inferno11–13-0.093%12 Aug →
anubis11–13-0.0610%11 Aug →
inferno13–7-0.0115%11 Aug →
dust216–120.0315%11 Aug →
ancient7–13-0.046%11 Aug →
ancient13–7-0.028%11 Aug →
anubis13–6-0.0111%9 Aug →
ancient13–6-0.057%9 Aug →
dust213–30.0215%9 Aug →
anubis13–11-0.044%7 Aug →
dust210–13-0.079%7 Aug →
mirage14–16-0.0310%7 Aug →
anubis7–130.0011%7 Aug →
inferno13–3-0.009%7 Aug →
nuke10–13-0.089%7 Aug →
anubis9–130.0513%7 Aug →
inferno13–10-0.0519%6 Aug →
ancient6–13-0.016%6 Aug →
nuke3–13-0.107%6 Aug →
nuke14–16-0.0414%5 Aug →
inferno13–11-0.0427%5 Aug →
inferno4–13-0.115%5 Aug →
anubis13–6-0.006%3 Aug →
ancient10–130.0315%3 Aug →
inferno13–9-0.0121%3 Aug →
nuke2–13-0.074%3 Aug →
ancient15–15-0.0411%29 Jul →
inferno13–80.0114%29 Jul →
inferno13–4-0.014%29 Jul →
inferno13–80.0411%29 Jul →
inferno10–13-0.008%29 Jul →
nuke13–11-0.015%28 Jul →
inferno7–13-0.0318%28 Jul →
nuke16–14-0.033%28 Jul →
ancient10–13-0.037%28 Jul →
inferno9–13-0.0415%27 Jul →
nuke15–150.0215%27 Jul →
anubis13–50.048%27 Jul →
anubis5–13-0.0616%24 Jul →
nuke16–12-0.004%24 Jul →
inferno0–13-0.0914%24 Jul →
inferno13–10-0.016%24 Jul →
cache5–13-0.044%24 Jul →
nuke10–13-0.069%24 Jul →
ancient13–6-0.027%23 Jul →
inferno13–60.0310%23 Jul →
anubis13–80.0311%23 Jul →
anubis13–10-0.059%22 Jul →
ancient3–13-0.0712%22 Jul →
anubis5–13-0.0318%22 Jul →
cache13–11-0.057%22 Jul →
ancient13–8-0.023%21 Jul →
anubis9–130.008%21 Jul →
nuke13–11-0.029%21 Jul →
inferno13–4-0.027%20 Jul →
inferno13–11-0.025%20 Jul →
inferno13–9-0.016%20 Jul →
inferno3–13-0.106%20 Jul →
ancient13–7-0.028%17 Jul →
anubis15–15-0.0513%17 Jul →
nuke14–16-0.098%17 Jul →
anubis11–130.049%17 Jul →
anubis8–13-0.0618%13 Jul →
ancient13–110.012%13 Jul →

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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