CoNa | <||Proejoe||>

CoNa | <||Proejoe||> — CS2 Stats

DE76561198810726415[U:1:850460687]Steam profile ↗✓ No bans

1,194Tracked matches41%Win rate2024Tracked since
CSDB Rating5.3 DevelopingAll-Rounder
Premier CS Rating11,435Blue band · top ~47.3% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 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: 11,435 +2,645 14 Sept – 31 Oct · 26 days played
8,69512,335peak 12,33514 Sept31 Oct
12,335Peak Premier in tracked matches
24Days played since 2026-09-14

Premier CS Rating

  • 900 below peak (12,335)
  • +1,436 over 30 days · improving
  • Next: Purple band at 15,000 — 3,565 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-14

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

Share this profile

CSDB.GGCoNa | <||Proejoe||>PREMIER11,435 · Blue bandcsdb.gg/stats

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Performance scores

Aim56
Positioning66
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY46–47–7Last 10046%Win rateLTWWWWLLLL

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · +0.9pp headshot accuracy · −69ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 20%
  • Avg reaction 622ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 18%
  • Avg reaction 585ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 620ms

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-Rounder — No style dimension stands clear of the others in this profile.

Aim5.6
Utility5.6
Positioning6.6
Opening Duels5.8

Strong CT-side opener

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

s1mple

Plays most like s1mple 73% 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

Strengths

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 630ms 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

Aim5.6
Positioning6.6
Utility5.6
Mechanics5.1
Opening Duels8.1
Win Impact1.9

Composite 5.3/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time623ms+11ms
first ⅓ avg 613ms → last ⅓ avg 623ms
Headshot accuracy16.7%−0.0%
first ⅓ avg 16.7% → last ⅓ avg 16.7%

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

0.17Best match rating · 13–5 · office, 31 Oct →
100%Best headshot accuracy · 0–6 · dust2, 16 Oct →
422msFastest reaction time · 6–9 · inferno, 16 Oct →
13–1Biggest win · dust2, 25 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 55% over 31ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A3117–1455%0.02
infernoB189–950%0.02
mirageB158–753%0.01
cacheB105–550%0.05
anubisC83–538%-0.01
ancientD71–614%-0.01
nukeC52–340%0.02
office—21–150%0.12
overpass—20–20%-0.07
vertigo—10–10%0.04
train—10–10%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.9%Headshot accuracy
36.1%Accuracy (enemy spotted)
36.9%Spray accuracy
73.1%Counter-strafing
11.0°Preaim
630msReaction time
62.3%T opening success
62.2%CT opening success
0.54Enemies flashed / flash
5.4%Flash assists
8.86HE damage / grenade
12.16Flashes / match

Recommended for you

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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–130.0716%31 Oct →
cache15–150.0015%31 Oct →
inferno13–40.0425%31 Oct →
dust213–20.1123%31 Oct →
dust213–30.1322%31 Oct →
office13–50.1719%31 Oct →
dust210–13-0.0621%31 Oct →
office9–130.079%31 Oct →
anubis10–13-0.087%31 Oct →
inferno11–130.0519%31 Oct →
dust213–80.0619%30 Oct →
mirage11–130.0017%30 Oct →
cache9–130.0115%29 Oct →
inferno9–40.1416%29 Oct →
nuke13–70.0211%29 Oct →
dust210–130.0631%28 Oct →
mirage12–16-0.0416%28 Oct →
mirage13–5-0.0411%28 Oct →
ancient12–12-0.0612%28 Oct →
dust25–13-0.0418%27 Oct →
dust213–11-0.0224%26 Oct →
dust213–160.0416%26 Oct →
dust24–130.0415%26 Oct →
inferno10–130.009%26 Oct →
mirage15–15-0.009%25 Oct →
dust213–10.0427%25 Oct →
dust213–6-0.027%25 Oct →
dust24–13-0.0412%25 Oct →
inferno7–13-0.074%25 Oct →
dust214–16-0.0424%24 Oct →
mirage13–9-0.0310%24 Oct →
inferno13–8-0.0132%23 Oct →
inferno6–13-0.0221%23 Oct →
dust211–13-0.0421%23 Oct →
dust213–10-0.0114%22 Oct →
mirage13–7-0.039%22 Oct →
vertigo8–80.0422%22 Oct →
nuke8–80.0211%22 Oct →
cache13–110.0417%22 Oct →
anubis1–13-0.0111%21 Oct →
ancient13–80.0617%21 Oct →
dust213–50.0324%21 Oct →
overpass3–13-0.0733%21 Oct →
mirage13–60.0517%20 Oct →
inferno13–70.0024%20 Oct →
cache13–30.1417%20 Oct →
inferno9–70.0310%20 Oct →
mirage5–130.0421%20 Oct →
anubis13–5-0.0112%20 Oct →
nuke13–100.0510%20 Oct →
ancient9–13-0.0311%19 Oct →
cache13–110.0314%19 Oct →
dust213–50.0519%19 Oct →
dust213–11-0.0013%18 Oct →
dust27–130.0318%18 Oct →
nuke3–13-0.0315%18 Oct →
mirage12–10.0319%18 Oct →
inferno9–6-0.0236%18 Oct →
anubis13–9-0.036%17 Oct →
inferno13–110.0112%17 Oct →
dust213–3-0.0126%17 Oct →
dust213–70.0511%17 Oct →
mirage8–130.0616%17 Oct →
cache7–130.0822%17 Oct →
mirage8–130.0212%16 Oct →
nuke11–130.0313%16 Oct →
mirage13–110.0321%16 Oct →
dust216–12-0.0029%16 Oct →
inferno6–9-0.0311%16 Oct →
dust29–130.0416%16 Oct →
dust20–6-0.04100%16 Oct →
overpass4–13-0.086%16 Oct →
dust28–13-0.015%15 Oct →
inferno5–9-0.0724%15 Oct →
ancient10–130.058%14 Oct →
dust23–13-0.0417%14 Oct →
cache7–130.0521%13 Oct →
ancient5–13-0.0016%13 Oct →
inferno6–130.036%13 Oct →
train12–120.0420%13 Oct →
dust213–100.0221%12 Oct →
inferno13–40.0613%12 Oct →
inferno13–40.0712%12 Oct →
ancient7–13-0.049%11 Oct →
cache5–130.0512%11 Oct →
anubis7–13-0.0316%11 Oct →
inferno6–130.0815%11 Oct →
ancient8–13-0.045%11 Oct →
mirage13–80.0413%11 Oct →
dust28–130.0511%10 Oct →
dust213–30.1012%10 Oct →
dust216–130.0211%10 Oct →
dust213–100.0919%10 Oct →
cache13–80.0719%10 Oct →
anubis13–90.0310%10 Oct →
mirage10–13-0.0211%9 Oct →
cache16–130.0016%9 Oct →
anubis6–13-0.0216%9 Oct →
inferno15–150.0019%9 Oct →
mirage16–140.0315%8 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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