󠁳⁧⁧GITO幻術

󠁳⁧⁧GITO幻術 — CS2 Stats

ES76561198320014084[U:1:359748356]Steam profile ↗✓ No bans

361Tracked matches50%Win rate2021Tracked since
CSDB Rating7.3 StrongAll-Rounder
Premier CS Rating26,132Top 10% of 175,286 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#11006 of 222041 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 26,132 → 26,132
+9Tracked matches · now 361
−3.3ppWin rate · 53.3% → 50.0%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 40 days played since 1 Nov 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 26,132 +4,362 1 Nov10 Sept · 23 days played
20,60626,505peak 26,5051 Nov10 Sept
26,505Peak Premier in tracked matches
40Days played since 2025-11-01

Premier CS Rating

  • 373 below peak (26,505)
  • 0 over 30 days · steady
  • Next: Gold band at 30,000 3,868 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-10
  • Pink band first seen 2026-09-10

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󠁳⁧⁧GITO幻術FACEITLevel 8STANDINGTop 31.2% of rankedPREMIER26,132 · Red bandcsdb.gg/stats

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Performance scores

Aim93
Positioning61
Utility55

0–100 skill scores via Leetify.

Recent form

COLD48502Last 10048%Win rateLLLLLWWLLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +2.0pp headshot accuracy · −15ms reaction

Win rate 0pp 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

  • 05 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 27%
  • Avg reaction 552ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 530ms

Last 20

  • 614 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 537ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim9.3
Utility5.5
Positioning6.1
Opening Duels4.9
Clutch4.8

Sharp aimer

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

jL

Plays most like jL 91% playstyle similarity

Most alike: aim profile, 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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

Reaction time. 553ms 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

Aim9.3
Positioning6.1
Utility5.5
Mechanics8.2
Opening Duels4.2
Win Impact5.0

Composite 7.3/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time563ms−32ms
first ⅓ avg 596ms → last ⅓ avg 563ms
Headshot accuracy25.2%+0.6%
first ⅓ avg 24.6% → last ⅓ avg 25.2%

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

0.18Best match rating · 13–5 · mirage, 15 Dec
57%Best headshot accuracy · 1–13 · mirage, 15 Aug
297msFastest reaction time · 0–5 · cache, 4 May
13–0Biggest win · ancient, 28 Jun

Across the last 100 tracked matches.

Highlights

6Longest win streak
L5Current streak
710In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 60% over 20dust2Weakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageC34132138%0.02
ancientA2012860%0.03
infernoA2011955%0.02
dust2C114736%-0.01
nukeB84450%0.03
cacheC52340%-0.06
anubis110100%-0.02
overpass110100%0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

269Matches
58%Win rate
1.45Avg K/D
93.5ADR
54%Headshot %

Clutches & streaks

44%1v1 clutch win
26%1v2 clutch win
15Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage5556%1.4818.4
Inferno4377%1.7319.4
Dust22348%1.2317.4
Ancient2255%1.1717.2
Nuke1362%1.5618.5
Anubis967%1.4319.6
Train20%0.8413.0
Overpass250%1.1820.5

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.

25.1%Headshot accuracy
38.9%Accuracy (enemy spotted)
44.3%Spray accuracy
86.8%Counter-strafing
7.3°Preaim
553msReaction time
39.1%T opening success
54.1%CT opening success
0.63Enemies flashed / flash
9.0%Flash assists
7.04HE damage / grenade
5.25Flashes / 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 39.1396% — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0020%16 Sept
nuke13–16-0.0225%10 Sept
ancient11–130.0133%7 Sept
dust25–13-0.0627%28 Aug
inferno8–13-0.0329%26 Aug
anubis13–11-0.0220%25 Aug
ancient13–8-0.0013%24 Aug
ancient6–130.0127%19 Aug
dust211–13-0.0327%19 Aug
cache13–11-0.0227%16 Aug
inferno13–20.0318%15 Aug
ancient13–20.0631%15 Aug
ancient2–13-0.0325%15 Aug
mirage0–13-0.0140%15 Aug
dust29–130.0117%15 Aug
dust21–30.020%15 Aug
mirage1–13-0.0957%15 Aug
dust213–80.0120%15 Aug
cache5–13-0.037%15 Aug
mirage3–13-0.0513%15 Aug
mirage13–70.0728%14 Aug
dust213–60.0426%14 Aug
mirage16–140.0621%14 Aug
cache1–13-0.1217%14 Aug
inferno9–3-0.0533%14 Aug
ancient13–20.0933%13 Aug
ancient13–40.0731%13 Aug
inferno13–10.1135%13 Aug
mirage13–50.1333%13 Aug
mirage13–80.0320%4 Jul
inferno6–13-0.0424%4 Jul
nuke11–130.0531%4 Jul
inferno16–13-0.0226%4 Jul
nuke13–80.0524%4 Jul
mirage14–160.0232%4 Jul
mirage11–130.0729%4 Jul
inferno6–130.0229%4 Jul
mirage9–130.0021%2 Jul
mirage13–80.0416%2 Jul
mirage12–160.0619%1 Jul
mirage3–13-0.0521%1 Jul
mirage13–80.0117%30 Jun
mirage10–130.0525%30 Jun
inferno13–50.0628%30 Jun
ancient5–9-0.0138%30 Jun
ancient13–00.0720%28 Jun
mirage16–120.0724%28 Jun
overpass13–100.0618%27 Jun
dust29–13-0.0326%23 Jun
mirage13–80.0250%5 May
mirage9–130.0428%5 May
cache13–11-0.0422%4 May
cache0–5-0.0833%4 May
dust212–120.0521%12 Apr
inferno13–10-0.0116%23 Feb
nuke8–13-0.0515%22 Feb
mirage11–13-0.0519%9 Feb
mirage13–160.0131%4 Feb
mirage7–13-0.0619%4 Feb
mirage8–130.0523%4 Feb
nuke13–90.0428%2 Feb
ancient16–13-0.0218%2 Feb
inferno8–130.0440%1 Feb
nuke13–100.0217%1 Feb
mirage13–70.1130%1 Feb
mirage11–13-0.0013%1 Feb
dust213–100.0327%1 Feb
mirage11–13-0.0324%1 Feb
mirage13–110.0014%31 Jan
inferno13–100.0627%31 Jan
ancient16–140.0525%30 Jan
inferno7–130.0121%30 Jan
dust213–8-0.0319%30 Jan
mirage13–80.0231%30 Jan
dust25–13-0.079%30 Jan
inferno6–13-0.0115%30 Jan
ancient2–130.0231%30 Jan
ancient13–70.0235%30 Jan
ancient5–13-0.008%30 Jan
inferno13–4-0.0225%30 Jan
ancient13–9-0.0122%30 Jan
ancient13–50.0424%30 Jan
inferno13–20.0225%28 Jan
inferno13–40.1129%28 Jan
ancient13–110.0231%16 Jan
ancient7–13-0.0122%16 Jan
mirage10–130.0424%2 Jan
inferno15–15-0.0225%2 Jan
nuke11–130.0421%2 Jan
mirage8–13-0.0816%19 Dec
mirage13–50.1839%15 Dec
inferno7–130.0125%15 Dec
mirage13–40.0029%27 Nov
mirage1–13-0.0525%21 Nov
mirage2–13-0.0628%20 Nov
nuke13–100.1028%20 Nov
inferno13–90.1133%7 Nov
inferno7–130.0531%1 Nov
ancient8–13-0.0028%1 Nov
ancient8–00.1727%1 Nov

Match data via Leetify.

Recent teammates

Milestones

100 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →