Codonberth

Codonberth — CS2 Stats

CA76561198389439631[U:1:429173903]Steam profile ↗✓ No bans

371Tracked matches32%Win rate2021Tracked since
435Hours in CS
CSDB Rating3.9 LearningPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 371 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 4,030 -599 9 Apr – 29 May · 9 days played
3,7364,629peak 4,6299 Apr29 May
4,629Peak Premier in tracked matches
39Days played since 2025-02-17

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

Compare periods

Last 7 days vs previous 7

No matches recorded between 7 Nov 2026 and 14 Nov 2026.

Measured 7 Nov 2026 → 14 Nov 2026; previous 2 Nov 2026 → 7 Nov 2026.

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.

Performance scores

Aim31
Positioning49
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY48–45–7Last 10048%Win rateWLWLWWTTLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −5.1pp headshot accuracy · −74ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 644ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 694ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 731ms

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 (+1.3 against its own average).

Aim3.1
Utility3.2
Positioning4.9
Opening Duels2.6

Strong CT-side openerEffective flashes

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 76% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 49% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 745ms 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

Aim3.1
Positioning4.9
Utility3.2
Mechanics8.2
Opening Duels2.4
Win Impact0.0

Composite 3.9/10 (Learning), 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 rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time770ms+61ms
first ⅓ avg 709ms → last ⅓ avg 770ms
Headshot accuracy14.4%+0.1%
first ⅓ avg 14.2% → last ⅓ avg 14.4%

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

0.14Best match rating · 13–9 · anubis, 27 Feb →
31%Best headshot accuracy · 6–13 · dust2, 24 Mar →
516msFastest reaction time · 13–10 · mirage, 17 Feb →
13–0Biggest win · dust2, 2 Mar →

Across the last 100 tracked matches.

Highlights

8Longest win streak
1–7In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 69% over 16ancientWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
nukeC229–1341%-0.01
dust2A2112–957%-0.02
mirageC176–1135%-0.04
infernoS1611–569%-0.01
ancientD155–1033%-0.03
anubis—42–250%-0.02
vertigo—32–167%-0.03
train—21–150%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,895Lifetime kills
1.00K/D
1,513Matches
50.3%Match win rate · Top 25% of tracked players
34.9%Headshot %
10.3%Shot accuracy
1,496MVPs
435Hours (in match)
728Bombs planted
241Bombs defused

Most-used weapons

Lifetime map wins

1,953dust2
1,775nuke
1,401inferno
330vertigo
227train
142office
95cbble
18militia

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

Skill profile

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

14.9%Headshot accuracy
25.6%Accuracy (enemy spotted)
26.5%Spray accuracy
86.7%Counter-strafing
10.8°Preaim
745msReaction time
28.6%T opening success
49.3%CT opening success
0.75Enemies flashed / flash
6.1%Flash assists
8.77HE damage / grenade
6.77Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.9001% — below the 15% mark we flag

    Aim Training →
  2. 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 745.364ms — above the 700ms mark we flag

    Aim Training →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 28.5926% — below the 40% mark we flag

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.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–100.0212%2 Sept →
ancient11–13-0.0310%2 Sept →
nuke13–90.0724%1 Jul →
mirage10–13-0.0214%1 Jul →
ancient13–9-0.006%30 Jun →
dust213–6-0.0012%25 Dec →
ancient12–12-0.060%3 Dec →
nuke12–120.0114%21 Sept →
ancient4–13-0.095%24 Aug →
dust24–7-0.0413%24 Aug →
nuke3–13-0.0721%24 Aug →
dust210–13-0.0315%9 Aug →
mirage3–13-0.0310%9 Aug →
inferno8–13-0.0319%29 May →
mirage7–13-0.0317%29 May →
dust213–3-0.0019%12 May →
inferno13–30.0310%11 May →
mirage6–13-0.0819%3 May →
dust213–2-0.0413%2 May →
inferno13–5-0.0319%2 May →
mirage6–130.0216%2 May →
mirage7–13-0.0514%29 Apr →
nuke4–13-0.0611%29 Apr →
nuke13–16-0.0024%25 Apr →
inferno11–13-0.0118%25 Apr →
ancient4–13-0.0012%12 Apr →
dust20–8-0.0620%12 Apr →
mirage0–13-0.0316%12 Apr →
inferno13–6-0.0515%9 Apr →
mirage10–13-0.0721%9 Apr →
mirage13–10-0.098%9 Apr →
ancient13–50.0111%9 Apr →
inferno13–10-0.0220%24 Mar →
nuke11–13-0.0721%24 Mar →
dust26–13-0.0531%24 Mar →
dust23–13-0.0817%24 Mar →
nuke13–10.1018%16 Mar →
ancient5–130.0315%14 Mar →
mirage13–50.0410%10 Mar →
dust211–13-0.0617%9 Mar →
ancient3–13-0.0813%9 Mar →
mirage7–13-0.0610%9 Mar →
nuke13–80.0018%9 Mar →
mirage13–5-0.0216%9 Mar →
inferno12–12-0.0826%9 Mar →
nuke12–12-0.0712%8 Mar →
dust211–13-0.0517%6 Mar →
anubis6–13-0.0713%6 Mar →
vertigo13–4-0.0311%5 Mar →
nuke9–13-0.0216%5 Mar →
mirage13–2-0.076%4 Mar →
nuke13–20.0413%4 Mar →
inferno13–6-0.0223%3 Mar →
train13–10.079%3 Mar →
vertigo11–13-0.0415%2 Mar →
nuke12–12-0.0511%2 Mar →
dust213–00.0516%2 Mar →
nuke13–7-0.0412%2 Mar →
ancient3–13-0.0121%2 Mar →
inferno13–30.0519%2 Mar →
dust213–40.0617%2 Mar →
dust213–8-0.059%2 Mar →
mirage13–60.0515%27 Feb →
anubis13–90.1412%27 Feb →
inferno2–13-0.0512%27 Feb →
dust213–70.0314%27 Feb →
nuke4–13-0.0713%27 Feb →
dust213–80.0316%26 Feb →
ancient13–80.0215%25 Feb →
dust210–13-0.0511%25 Feb →
dust212–120.0112%25 Feb →
nuke11–130.0110%25 Feb →
inferno13–80.0312%24 Feb →
nuke13–90.0520%24 Feb →
vertigo13–8-0.014%23 Feb →
nuke13–30.076%23 Feb →
anubis2–3-0.0815%23 Feb →
nuke13–9-0.0114%23 Feb →
ancient13–9-0.048%23 Feb →
dust213–100.0022%23 Feb →
mirage1–13-0.0815%22 Feb →
train6–13-0.0819%22 Feb →
inferno12–120.0114%22 Feb →
dust213–8-0.0424%22 Feb →
ancient7–13-0.088%22 Feb →
nuke7–13-0.0412%22 Feb →
inferno13–8-0.028%21 Feb →
ancient8–13-0.0416%21 Feb →
dust213–9-0.0424%21 Feb →
inferno13–50.0127%20 Feb →
ancient13–3-0.0316%20 Feb →
nuke2–130.0321%20 Feb →
nuke13–7-0.0110%19 Feb →
ancient10–13-0.0313%19 Feb →
dust213–50.0116%19 Feb →
mirage7–13-0.0119%18 Feb →
nuke10–13-0.019%18 Feb →
mirage13–10-0.088%17 Feb →
inferno13–100.0822%17 Feb →
anubis3–13-0.073%17 Feb →

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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