0815

0815 — CS2 Stats

76561198021353305[U:1:61087577]Steam profile ↗✓ No bans

341Tracked matches53%Win rate2023Tracked since
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating14,884Blue band · top ~29% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (20 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: 14,884 -1,096 16 May – 16 Oct · 30 days played
14,87619,234peak 19,23416 May16 Oct
19,252Peak Premier in tracked matches
48Days played since 2026-05-16

Premier CS Rating

  • 4,350 below peak (19,234)
  • -2,647 over 30 days · declining
  • -2,647 over 90 days
  • Next: Purple band at 15,000 — 116 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-02
  • Blue band first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GG0815FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER14,884 · Blue bandcsdb.gg/stats

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Performance scores

Aim65
Positioning44
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWWLWLWWWLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −5.8pp headshot accuracy · −94ms 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 -0.01
  • Avg headshot accuracy 27%
  • Avg reaction 666ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 646ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 28%
  • Avg reaction 693ms

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 (+2.3 against its own average).

Aim6.5
Utility3.0
Positioning4.4
Opening Duels0.9
Clutch0.0

Strong T-side openerLimited 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

b1t

Plays most like b1t 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

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

CT openings. Opening success drops from 44% on T to 24% on CT — first contacts on the defending side are being lost.

Reaction time. 711ms 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

Aim6.5
Positioning4.4
Utility3.0
Mechanics7.2
Opening Duels1.8
Win Impact6.1

Composite 4.9/10 (Developing), 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-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time705ms+13ms
first ⅓ avg 692ms → last ⅓ avg 705ms
Headshot accuracy28.0%+1.0%
first ⅓ avg 27.0% → last ⅓ avg 28.0%

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

0.09Best match rating · 13–2 · dust2, 17 Jul →
53%Best headshot accuracy · 5–13 · inferno, 4 Jul →
422msFastest reaction time · 5–13 · mirage, 13 Jun →
13–1Biggest win · overpass, 13 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
7–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 91% over 11mirageWeakest map · 36% over 22
MapGradePlayedRecordWin rateAvg rating
mirageC228–1436%-0.02
infernoB168–850%-0.04
ancientC145–936%-0.03
dust2B126–650%0.00
cacheS1110–191%-0.01
anubisC94–544%-0.02
nukeA95–456%-0.03
overpassB63–350%-0.02
italy—11–0100%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 22). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

33Matches
48%Win rate
0.77Avg K/D
61.7ADR
61%Headshot %

Clutches & streaks

17%1v1 clutch win
19%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient633%0.8816.5
Anubis560%0.7814.2
Dust2520%0.7714.0
Cache540%0.6810.6
Mirage560%0.8111.8
Inferno475%0.7810.5
Nuke2100%0.7010.5
Overpass10%0.357.0

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.

27.8%Headshot accuracy
32.0%Accuracy (enemy spotted)
34.2%Spray accuracy
82.6%Counter-strafing
10.5°Preaim
711msReaction time
44.2%T opening success
23.5%CT opening success
0.50Enemies flashed / flash
4.7%Flash assists
6.36HE damage / grenade
3.19Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 710.6502ms — above the 700ms 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 0.4957 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

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

    CT opening duels 23.5251% — below the 40% mark we flag

Spend your practice time on Mirage

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 22 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–90.0425%22 Oct →
dust213–100.0327%18 Oct →
inferno4–13-0.0124%16 Oct →
cache16–14-0.0619%15 Oct →
dust29–13-0.0338%11 Oct →
mirage13–60.0532%10 Oct →
ancient13–5-0.0618%10 Oct →
mirage16–13-0.0220%10 Oct →
ancient11–130.0234%9 Oct →
anubis7–13-0.0413%9 Oct →
mirage4–130.0236%26 Sept →
overpass6–13-0.0448%15 Sept →
cache13–50.0320%6 Sept →
overpass10–13-0.0339%25 Aug →
dust26–130.0635%25 Aug →
mirage9–13-0.0326%25 Aug →
mirage13–11-0.0420%31 Jul →
nuke13–5-0.0447%31 Jul →
inferno13–5-0.0021%28 Jul →
cache13–3-0.0917%28 Jul →
nuke8–13-0.0632%26 Jul →
anubis16–13-0.0023%24 Jul →
inferno3–13-0.0843%24 Jul →
dust213–20.0926%17 Jul →
mirage3–13-0.0417%16 Jul →
cache10–130.0536%14 Jul →
cache13–90.0033%12 Jul →
italy13–8-0.0139%12 Jul →
ancient8–130.0120%11 Jul →
ancient13–11-0.0613%11 Jul →
dust213–80.0039%11 Jul →
ancient9–130.0532%10 Jul →
ancient13–10-0.0512%10 Jul →
inferno13–9-0.0423%10 Jul →
mirage11–130.0527%10 Jul →
cache13–5-0.0118%10 Jul →
inferno15–15-0.0522%9 Jul →
cache13–4-0.0313%9 Jul →
ancient9–13-0.0621%9 Jul →
mirage11–13-0.0024%9 Jul →
mirage5–13-0.0018%8 Jul →
mirage13–40.0136%8 Jul →
inferno13–8-0.0916%8 Jul →
mirage13–110.0331%5 Jul →
anubis8–130.0145%5 Jul →
mirage7–13-0.0523%4 Jul →
inferno5–13-0.0553%4 Jul →
nuke16–120.0230%3 Jul →
anubis13–9-0.0629%3 Jul →
mirage5–13-0.0238%2 Jul →
ancient11–13-0.0412%17 Jun →
inferno13–9-0.0121%17 Jun →
dust29–13-0.0223%17 Jun →
inferno7–13-0.0629%16 Jun →
nuke11–13-0.0626%15 Jun →
inferno13–6-0.0424%14 Jun →
ancient7–13-0.0124%14 Jun →
nuke13–90.0024%13 Jun →
anubis15–15-0.0121%13 Jun →
ancient16–140.0022%13 Jun →
mirage6–13-0.0335%13 Jun →
mirage5–13-0.0742%13 Jun →
inferno3–00.0725%13 Jun →
overpass13–10.0628%13 Jun →
dust213–4-0.0237%12 Jun →
ancient9–13-0.0524%12 Jun →
mirage8–13-0.0439%10 Jun →
mirage7–130.0239%8 Jun →
nuke8–13-0.0521%4 Jun →
mirage4–13-0.0532%4 Jun →
overpass6–13-0.0432%4 Jun →
ancient9–13-0.0524%4 Jun →
cache13–40.0523%4 Jun →
cache13–5-0.0335%4 Jun →
inferno13–30.0124%3 Jun →
inferno2–13-0.1029%2 Jun →
dust27–130.0137%2 Jun →
dust213–110.0228%1 Jun →
nuke4–13-0.0418%1 Jun →
mirage13–3-0.0715%1 Jun →
mirage13–50.0127%1 Jun →
anubis9–13-0.0315%31 May →
overpass13–80.0136%31 May →
anubis13–8-0.0513%31 May →
cache13–80.0250%30 May →
dust215–15-0.0022%30 May →
dust213–5-0.0521%30 May →
anubis11–13-0.0828%30 May →
inferno4–13-0.1026%29 May →
nuke13–10-0.0435%29 May →
ancient0–13-0.0911%21 May →
mirage13–2-0.0235%21 May →
anubis13–30.0620%21 May →
dust24–13-0.0729%20 May →
mirage4–13-0.0912%19 May →
overpass16–12-0.0626%19 May →
nuke13–6-0.0130%18 May →
cache13–9-0.0132%17 May →
ancient13–11-0.0538%17 May →
inferno5–13-0.0826%16 May →

Match data via Leetify.

Recent teammates

Milestones

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

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