_cadency

_cadency — CS2 Stats

76561199176288675[U:1:1216022947]Steam profile ↗✓ No bans

2,248Tracked matches50%Win rate2023Tracked since
2,538Hours in CS38Hrs last 2 wks
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating14,047Blue band · top ~33.4% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 2026 (3 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: 14,047 +387 11 Jun – 29 Sept · 19 days played
13,16116,367peak 16,36711 Jun29 Sept
16,428Peak Premier in tracked matches
20Days played since 2026-06-11

Premier CS Rating

  • 2,320 below peak (16,367)
  • +886 over 90 days
  • Next: Purple band at 15,000 — 953 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-07
  • Light Blue band first seen 2026-09-07

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches103——
Win rate51%——
K/D0.95——
Headshot %40%——

Measured 3 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=12,875), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate41.3%44.8%45.7%4.4% short
Shot accuracy0.0%12.4%12.7%12.7% short
Kill/death ratio0.861.031.050.20 short
Match win rate44.3%45.2%45.7%1.4% short

This profile sits below the typical Level 7 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG_cadencyFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER14,047 · 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

Aim52
Positioning61
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateLTTWLWLWWL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −4.4pp headshot accuracy · −20ms 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

  • 1–2–2 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 561ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 545ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 555ms

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 (+0.9 against its own average).

Aim5.2
Utility6.0
Positioning6.1
Opening Duels4.4
Clutch4.2

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 72% 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. 560ms 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

Aim5.2
Positioning6.1
Utility6.0
Mechanics5.3
Opening Duels5.2
Win Impact5.0

Composite 5.2/10 (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-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time561ms−66ms
first ⅓ avg 627ms → last ⅓ avg 561ms
Headshot accuracy13.9%+1.0%
first ⅓ avg 12.8% → last ⅓ avg 13.9%

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

0.13Best match rating · 13–7 · inferno, 11 Sept →
27%Best headshot accuracy · 13–7 · mirage, 15 Jun →
344msFastest reaction time · 5–13 · anubis, 14 Sept →
13–1Biggest win · dust2, 21 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–5In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 67% over 21ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C3013–1743%0.01
infernoS2114–767%0.01
mirageB136–746%-0.03
nukeB105–550%-0.02
anubisB84–450%0.01
ancientD82–625%-0.01
cacheS64–267%0.02
overpass—41–325%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,038Lifetime kills
0.86K/D
3,556Matches
44.3%Match win rate
41.3%Headshot %
0.0%Shot accuracy
6,515MVPs
1,396Hours (in match)
3,307Bombs planted
742Bombs defused

Most-used weapons

Lifetime map wins

5,460dust2
5,442inferno
4,595nuke
2,339vertigo
572office
452train
15italy
9ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

182Matches
52%Win rate
0.89Avg K/D
76.2ADR
39%Headshot %

Clutches & streaks

41%1v1 clutch win
19%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4342%0.8213.4
Dust23656%0.9314.6
Anubis2646%0.8012.5
Inferno2454%0.9214.1
Ancient1942%0.8914.7
Nuke1275%1.0816.3
Vertigo967%0.7413.8
Overpass650%0.8213.0

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.

13.7%Headshot accuracy
34.9%Accuracy (enemy spotted)
36.3%Spray accuracy
73.6%Counter-strafing
12.8°Preaim
560msReaction time
50.0%T opening success
51.5%CT opening success
0.63Enemies flashed / flash
3.6%Flash assists
8.41HE damage / grenade
10.49Flashes / 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 12.8318° — 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 13.6633% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0212%29 Sept →
mirage15–150.0012%29 Sept →
nuke15–150.0110%29 Sept →
dust213–30.0313%29 Sept →
cache9–13-0.0210%29 Sept →
anubis13–60.1016%29 Sept →
ancient3–13-0.0512%29 Sept →
ancient13–50.0510%29 Sept →
ancient13–60.0312%29 Sept →
dust27–130.0013%29 Sept →
anubis13–110.009%29 Sept →
dust26–130.0115%29 Sept →
dust213–9-0.007%29 Sept →
nuke13–3-0.0618%29 Sept →
mirage8–13-0.0321%28 Sept →
nuke6–13-0.0019%28 Sept →
dust25–13-0.0116%28 Sept →
nuke13–10-0.0419%28 Sept →
inferno11–130.0317%28 Sept →
inferno13–70.0324%28 Sept →
dust210–13-0.0316%28 Sept →
dust23–13-0.0813%28 Sept →
cache13–90.0216%28 Sept →
inferno13–11-0.0212%26 Sept →
dust25–13-0.0116%26 Sept →
inferno16–12-0.0322%25 Sept →
anubis13–100.089%25 Sept →
anubis2–130.018%25 Sept →
dust213–10-0.0310%25 Sept →
anubis14–16-0.066%23 Sept →
mirage10–13-0.0317%23 Sept →
dust29–130.0113%23 Sept →
dust213–90.0415%22 Sept →
dust213–160.0113%22 Sept →
cache13–2-0.036%22 Sept →
nuke7–13-0.0418%21 Sept →
dust213–10.0322%21 Sept →
nuke15–15-0.0110%19 Sept →
ancient15–15-0.0310%19 Sept →
mirage5–10.0314%19 Sept →
dust29–130.0016%17 Sept →
mirage13–10-0.085%17 Sept →
dust29–13-0.0622%17 Sept →
anubis5–13-0.042%14 Sept →
cache13–110.0824%13 Sept →
dust213–70.1015%13 Sept →
mirage13–7-0.0211%13 Sept →
inferno13–50.0814%13 Sept →
nuke13–2-0.0111%13 Sept →
mirage8–1-0.115%13 Sept →
ancient14–160.015%13 Sept →
dust210–130.0614%13 Sept →
cache16–120.0114%13 Sept →
dust29–13-0.0315%13 Sept →
cache6–130.0812%13 Sept →
dust28–130.0213%12 Sept →
inferno13–2-0.0315%12 Sept →
nuke9–130.0114%12 Sept →
dust27–13-0.0116%12 Sept →
inferno13–90.0410%12 Sept →
dust213–80.038%12 Sept →
ancient6–13-0.087%12 Sept →
mirage9–13-0.0113%12 Sept →
dust28–13-0.0114%12 Sept →
inferno8–13-0.008%11 Sept →
mirage11–130.0211%11 Sept →
dust27–13-0.0516%11 Sept →
mirage13–8-0.0216%11 Sept →
dust26–00.066%11 Sept →
inferno13–70.1324%11 Sept →
anubis13–50.0513%11 Sept →
mirage0–6-0.1113%28 Jun →
inferno13–90.0216%24 Jun →
anubis14–16-0.035%16 Jun →
inferno16–14-0.0118%16 Jun →
inferno10–13-0.0110%16 Jun →
mirage6–13-0.048%16 Jun →
overpass2–13-0.0517%16 Jun →
inferno9–13-0.047%16 Jun →
dust213–100.0112%16 Jun →
inferno9–13-0.056%16 Jun →
ancient13–16-0.0113%16 Jun →
ancient9–13-0.0219%15 Jun →
inferno9–130.0815%15 Jun →
overpass7–13-0.0913%15 Jun →
mirage13–70.0227%15 Jun →
dust213–70.0111%15 Jun →
dust213–20.019%15 Jun →
inferno16–130.0310%13 Jun →
inferno13–11-0.0313%12 Jun →
dust213–16-0.0119%12 Jun →
overpass13–7-0.0318%12 Jun →
inferno13–6-0.0710%12 Jun →
dust213–80.0110%12 Jun →
inferno13–60.0813%12 Jun →
overpass4–130.0017%12 Jun →
nuke13–8-0.035%12 Jun →
dust213–60.0913%12 Jun →
inferno13–80.0611%12 Jun →
nuke13–70.018%11 Jun →

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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