両面 宿儺

両面 宿儺 — CS2 Stats

JP76561198825823344[U:1:865557616]Steam profile ↗✓ No bans

1,577Tracked matches54%Win rate2021Tracked since
CSDB Rating6.6 SolidSupport
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

Share this profile

CSDB.GG両面 宿儺FACEITLevel 3STANDINGTop 90.6% of rankedcsdb.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

Aim82
Positioning55
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY46–44–10Last 10046%Win rateWLTWWWWTLT

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −1.9pp headshot accuracy · −42ms reaction

Win rate up 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 588ms

Last 10

  • 5–2–3 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 587ms

Last 20

  • 8–8–4 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • 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 (+1.3 against its own average).

Aim8.2
Utility5.7
Positioning5.5
Opening Duels2.4
Clutch4.0

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

b1t

Plays most like b1t 93% playstyle similarity

Most alike: utility contribution, 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

CT openings. Opening success drops from 55% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 623ms 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

Aim8.2
Positioning5.5
Utility5.7
Mechanics7.4
Opening Duels4.3
Win Impact6.3

Composite 6.6/10 (Solid), 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 rating0.01+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time628ms−128ms
first ⅓ avg 756ms → last ⅓ avg 628ms
Headshot accuracy20.7%−7.0%
first ⅓ avg 27.7% → last ⅓ avg 20.7%

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

0.14Best match rating · 13–7 · inferno, 21 Feb →
80%Best headshot accuracy · 4–13 · mirage, 27 Apr →
438msFastest reaction time · 13–4 · inferno, 31 Oct →
13–0Biggest win · inferno, 1 Nov →

Across the last 100 tracked matches.

Highlights

7Longest win streak
4–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 52% over 44dust2Weakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB4423–2152%0.00
infernoB3015–1550%0.01
dust2D102–820%0.01
anubisC52–340%-0.02
overpass—31–233%0.01
cache—31–233%-0.00
ancient—21–150%0.06
vertigo—20–20%-0.04
nuke—11–0100%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

199Matches
49%Win rate
1.24Avg K/D
82.1ADR
39%Headshot %

Clutches & streaks

40%1v1 clutch win
43%1v2 clutch win
14Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1471%1.2016.2
Anubis10%0.417.0
Dust210%1.3121.0
Ancient1100%1.4014.0
Inferno10%0.538.0

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.

20.9%Headshot accuracy
37.5%Accuracy (enemy spotted)
40.6%Spray accuracy
83.4%Counter-strafing
8.5°Preaim
623msReaction time
54.8%T opening success
39.5%CT opening success
0.54Enemies flashed / flash
6.0%Flash assists
7.78HE damage / grenade
11.54Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.4693% — 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.

20% win rate across 10 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
inferno13–11-0.0023%2 Nov →
inferno10–13-0.0115%1 Nov →
mirage12–12-0.0026%1 Nov →
mirage13–10.0318%1 Nov →
inferno13–00.0621%1 Nov →
inferno13–40.0219%31 Oct →
mirage13–90.0216%31 Oct →
overpass12–120.0422%30 Oct →
mirage8–130.0914%30 Oct →
mirage12–120.0121%30 Oct →
inferno6–130.0634%30 Oct →
ancient13–80.069%30 Oct →
overpass10–130.0517%30 Oct →
mirage0–13-0.0620%30 Oct →
mirage7–13-0.0115%30 Oct →
mirage13–60.1016%30 Oct →
inferno5–130.0730%29 Oct →
mirage13–70.0725%29 Oct →
mirage11–13-0.0623%29 Oct →
dust212–12-0.0126%29 Oct →
mirage13–20.0121%28 Oct →
mirage13–8-0.0821%28 Oct →
inferno13–7-0.0016%28 Oct →
inferno13–2-0.0138%27 Oct →
mirage13–110.0427%27 Oct →
inferno8–130.0012%27 Oct →
mirage13–11-0.0425%26 Oct →
inferno8–13-0.0528%26 Oct →
inferno8–80.0720%22 Oct →
inferno7–130.0317%21 Oct →
dust22–130.0112%21 Oct →
mirage11–13-0.0318%21 Oct →
inferno13–3-0.0418%21 Oct →
anubis5–13-0.0518%21 Oct →
inferno12–120.0028%21 Oct →
mirage13–00.1015%21 Oct →
mirage13–100.0628%21 Oct →
inferno13–50.0320%16 Oct →
mirage13–100.0126%16 Oct →
mirage13–2-0.0138%15 Oct →
mirage6–13-0.0214%13 Oct →
mirage13–3-0.0416%12 Oct →
mirage9–13-0.0131%10 Oct →
dust20–10-0.0520%9 Oct →
mirage13–3-0.0517%9 Oct →
inferno13–80.0435%9 Oct →
mirage3–13-0.0224%7 Oct →
mirage6–13-0.0213%7 Oct →
mirage13–7-0.0115%29 Sept →
inferno10–130.0113%5 Sept →
mirage13–80.0621%5 Sept →
mirage6–13-0.0214%4 Sept →
inferno13–70.1024%4 Sept →
ancient7–130.0626%3 Sept →
inferno13–30.0436%3 Sept →
dust213–80.0819%3 Sept →
dust210–130.0218%2 Sept →
inferno10–13-0.0022%29 Aug →
mirage8–13-0.0411%29 Aug →
dust26–13-0.0330%28 Aug →
mirage13–70.0223%28 Aug →
mirage4–13-0.0341%6 Aug →
anubis9–130.0218%6 Aug →
inferno12–120.0429%30 Jul →
mirage5–130.0918%29 Jul →
vertigo1–13-0.0129%29 Jul →
nuke13–7-0.0618%18 Jun →
cache3–13-0.0030%18 Jun →
mirage5–13-0.0229%25 May →
cache6–130.0124%25 May →
cache13–11-0.0216%3 May →
dust213–4-0.0310%28 Apr →
mirage4–13-0.0780%27 Apr →
inferno9–13-0.0611%27 Apr →
inferno15–15-0.0016%25 Apr →
inferno13–100.0435%23 Apr →
mirage11–13-0.0324%22 Apr →
inferno13–10-0.0429%22 Apr →
inferno8–13-0.0432%22 Apr →
mirage13–9-0.1015%22 Feb →
overpass13–7-0.0513%21 Feb →
mirage13–80.0237%21 Feb →
mirage12–120.1026%21 Feb →
inferno13–70.1426%21 Feb →
dust212–120.0733%1 Feb →
dust28–130.0329%30 Dec →
anubis3–13-0.0218%30 Dec →
dust25–130.0421%30 Dec →
mirage0–130.0142%26 Dec →
inferno11–130.0115%26 Dec →
mirage13–9-0.0523%2 Nov →
vertigo4–13-0.0756%29 Sept →
mirage9–13-0.0426%28 Sept →
mirage13–8-0.0120%27 Sept →
inferno13–5-0.0529%27 Aug →
mirage13–50.0919%22 Aug →
inferno13–6-0.0333%22 Aug →
anubis13–6-0.0626%22 Aug →
mirage13–80.1132%20 Aug →
anubis13–60.0242%20 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.