note313

note313 — CS2 Stats

KP76561198923726416[U:1:963460688]Steam profile ↗✓ No bans

2,024Tracked matches48%Win rate2024Tracked since
CSDB Rating5.7 SolidPositional Player
Premier CS Rating21,398Top 50% of 215,558 CSDB-tracked playersPink band · top ~7% of ranked players (population est.)
CSDB Leaderboard#65661 of 261659 tracked
FaceitLevel 7 · 1,109 ELOTop 42.3% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Nov 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: 21,398 +96 1 Sept – 14 Nov · 9 days played
20,50421,398peak 21,3981 Sept14 Nov
Faceit ELO: 1,109 +0 1 Sept – 3 Nov · 6 observations
1,1091,109peak 1,1091 Sept3 Nov
21,398Peak Premier in tracked matches
1,109Highest Faceit ELO seen on CSDB
23Days played since 2026-09-01

Faceit ELO

  • At peak — 1,109
  • 0 over 30 days · steady
  • Next: Level 6 at 1,201 — 92 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-01
  • Level 4 first seen 2026-09-01

Premier CS Rating

  • At peak — 21,398
  • Next: Red band at 25,000 — 3,602 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

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.GGnote313FACEITLevel 7 · 1,109 ELOSTANDINGTop 42.3% of rankedPREMIER21,398 · Pink band30 DAYS0 ELOPEAK ELO1,109csdb.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

Aim69
Positioning58
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY47–44–9Last 10047%Win rateWLWLWWLTWL

Last 10 vs previous 10: +20pp win rate · −0.03 avg rating · +4.4pp headshot accuracy · +75ms 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 (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 648ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 598ms

Last 20

  • 8–8–4 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 560ms

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 (+2.1 against its own average).

Aim6.9
Utility4.4
Positioning5.8
Opening Duels4.1
Clutch0.4

Effective flashesLimited utility dependence

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

m0NESY

Plays most like m0NESY 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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. 559ms 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

Aim6.9
Positioning5.8
Utility4.4
Mechanics5.7
Opening Duels4.4
Win Impact4.3

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 time548ms−34ms
first ⅓ avg 582ms → last ⅓ avg 548ms
Headshot accuracy19.4%+0.1%
first ⅓ avg 19.3% → last ⅓ avg 19.4%

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

0.11Best match rating · 13–5 · cache, 29 Oct →
36%Best headshot accuracy · 4–13 · anubis, 11 Nov →
398msFastest reaction time · 8–13 · ancient, 11 Nov →
13–1Biggest win · inferno, 13 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–10In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 73% over 11nukeWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B2312–1152%-0.00
mirageB168–850%0.00
anubisC146–843%0.00
nukeD123–925%-0.02
ancientS118–373%0.01
infernoC104–640%-0.01
cacheC94–544%0.01
office—20–20%-0.04
overpass—21–150%0.01
vertigo—11–0100%0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

92Matches
58%Win rate
1.00Avg K/D
79.1ADR
46%Headshot %

Clutches & streaks

22%1v1 clutch win
24%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3050%0.9215.2
Dust22259%0.9615.9
Inferno1362%1.0413.8
Nuke978%0.9814.4
Ancient771%1.1516.0
Overpass580%1.1118.2
Anubis425%1.1016.3
Cache10%1.2922.0

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.

19.6%Headshot accuracy
31.8%Accuracy (enemy spotted)
34.1%Spray accuracy
75.8%Counter-strafing
8.4°Preaim
559msReaction time
47.0%T opening success
47.8%CT opening success
0.71Enemies flashed / flash
3.1%Flash assists
11.49HE damage / grenade
3.48Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.4817 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–5-0.0224%14 Nov →
nuke10–13-0.0625%14 Nov →
dust213–110.0130%13 Nov →
mirage10–13-0.0323%13 Nov →
inferno13–1-0.056%13 Nov →
anubis13–30.0212%13 Nov →
nuke4–13-0.0721%13 Nov →
mirage12–12-0.0320%13 Nov →
dust213–7-0.0311%13 Nov →
anubis4–13-0.0736%11 Nov →
office12–12-0.0110%11 Nov →
mirage13–110.0228%11 Nov →
nuke12–12-0.0023%11 Nov →
ancient8–13-0.069%11 Nov →
mirage9–100.0410%10 Nov →
ancient13–60.0015%9 Nov →
dust212–120.0622%9 Nov →
inferno11–13-0.0715%8 Nov →
mirage11–13-0.0418%8 Nov →
anubis4–130.0411%8 Nov →
ancient2–7-0.0015%8 Nov →
dust213–8-0.0217%8 Nov →
dust213–60.0014%8 Nov →
mirage11–130.0824%7 Nov →
dust213–1-0.0122%7 Nov →
inferno10–130.0333%7 Nov →
overpass5–13-0.0318%6 Nov →
mirage5–13-0.0223%5 Nov →
inferno12–12-0.0126%5 Nov →
anubis13–30.0416%5 Nov →
mirage13–20.0117%5 Nov →
inferno13–5-0.0131%5 Nov →
nuke6–13-0.0218%5 Nov →
dust212–12-0.0018%5 Nov →
nuke10–13-0.0614%4 Nov →
inferno13–20.0523%4 Nov →
dust28–130.0017%4 Nov →
ancient13–100.0529%4 Nov →
mirage8–13-0.0615%4 Nov →
dust213–40.006%4 Nov →
ancient13–90.0317%4 Nov →
anubis13–40.0615%4 Nov →
inferno13–50.0516%4 Nov →
ancient13–100.0213%4 Nov →
nuke11–130.0125%4 Nov →
mirage13–9-0.0217%4 Nov →
anubis6–13-0.0515%4 Nov →
vertigo13–110.0818%3 Nov →
office11–13-0.0621%3 Nov →
inferno11–130.0218%3 Nov →
nuke13–60.059%3 Nov →
dust212–12-0.0223%3 Nov →
nuke4–13-0.0412%3 Nov →
mirage11–130.0315%3 Nov →
cache13–10.0512%3 Nov →
nuke12–12-0.0114%2 Nov →
dust210–130.0020%2 Nov →
mirage13–70.1026%2 Nov →
anubis11–130.1017%2 Nov →
ancient13–40.0723%2 Nov →
anubis11–130.0418%1 Nov →
cache4–13-0.0416%1 Nov →
mirage13–10-0.0331%31 Oct →
cache5–13-0.0527%31 Oct →
inferno3–13-0.0218%31 Oct →
ancient5–13-0.0518%31 Oct →
nuke13–30.0222%31 Oct →
dust213–10-0.0420%31 Oct →
dust26–130.0919%30 Oct →
ancient13–70.0116%29 Oct →
cache2–13-0.0811%29 Oct →
dust29–13-0.0028%29 Oct →
cache13–50.1123%29 Oct →
dust211–13-0.0711%28 Oct →
dust213–100.0123%28 Oct →
anubis13–7-0.0521%28 Oct →
dust213–11-0.0115%27 Oct →
ancient13–90.0417%27 Oct →
cache13–40.1030%27 Oct →
nuke7–130.0113%27 Oct →
overpass13–60.0420%27 Oct →
dust213–80.0024%26 Oct →
anubis4–130.0215%26 Oct →
dust213–20.0624%26 Oct →
dust24–13-0.0229%26 Oct →
anubis7–13-0.0526%26 Oct →
cache2–130.0520%25 Oct →
anubis13–10-0.0213%23 Oct →
dust24–13-0.078%23 Oct →
mirage13–10-0.0219%23 Oct →
dust29–13-0.0331%22 Oct →
cache3–13-0.0628%22 Oct →
ancient13–50.0316%21 Oct →
mirage6–130.0311%21 Oct →
cache6–10.0624%21 Oct →
dust213–90.0113%21 Oct →
anubis12–12-0.0115%21 Oct →
anubis13–9-0.0014%21 Oct →
mirage13–9-0.0323%21 Oct →
inferno8–13-0.0819%21 Oct →

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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