4.A Young Koda

4.A Young Koda — CS2 Stats

GS76561198286068394[U:1:325802666]Steam profile ↗✓ No bans

1,093Tracked matches43%Win rate2020Tracked since
2,301Hours in CS7Hrs last 2 wks
CSDB Rating5.4 DevelopingSupport
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,093 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 60 days played since 27 Sep 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 21,218 +2,196 28 Sept – 27 Jun · 32 days played
18,54723,313peak 23,31328 Sept27 Jun
Faceit ELO: 1,765 +0 23 Sept – 25 Sept · 2 observations
1,7651,765peak 1,76523 Sept25 Sept
23,313Peak Premier in tracked matches
1,765Highest Faceit ELO seen on CSDB
60Days played since 2025-09-27

Faceit ELO

  • At peak — 1,765
  • Next: Level 10 at 2,001 — 236 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-23
  • Level 8 first seen 2026-09-23

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.GG4.A Young KodaPEAK ELO1,765csdb.gg/stats

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Performance scores

Aim88
Positioning45
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateLLWLWLWLLW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +0.8pp headshot accuracy · +81ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 556ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 571ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 531ms

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: Support — Utility contribution stands above the rest of this profile (+0.9 against its own average).

Aim8.8
Utility4.7
Positioning4.5
Opening Duels3.1
Clutch2.8

Sharp aimerLimited 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 89% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 43 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 48% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.8
Positioning4.5
Utility4.7
Mechanics6.6
Opening Duels2.4
Win Impact2.6

Composite 5.4/10 (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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time549ms−37ms
first ⅓ avg 586ms → last ⅓ avg 549ms
Headshot accuracy16.8%+2.0%
first ⅓ avg 14.8% → last ⅓ avg 16.8%

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

0.20Best match rating · 7–0 · nuke, 8 Mar →
31%Best headshot accuracy · 5–13 · overpass, 12 Mar →
375msFastest reaction time · 7–13 · nuke, 26 Mar →
13–0Biggest win · ancient, 8 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
6–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 71% over 21dust2Weakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
nukeA2516–964%0.02
mirageS2115–671%0.01
infernoB157–847%0.00
ancientB137–654%0.04
overpassD82–625%-0.01
dust2D71–614%-0.02
anubisC52–340%0.01
train—33–0100%0.05
cache—20–20%-0.05
vertigo—11–0100%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

58,990Lifetime kills
1.00K/D
3,245Matches
46.4%Match win rate · Top 50% of tracked players
44.2%Headshot % · Top 50% of tracked players
16.4%Shot accuracy · Top 25% of tracked players
8,684MVPs
1,221Hours (in match)
2,885Bombs planted
1,065Bombs defused

Most-used weapons

AK-4719,444
AWP4,077
MP91,813
AUG1,384
SG 5531,321

Lifetime map wins

5,863inferno
5,543vertigo
4,384nuke
2,788dust2
1,941train
651cbble
26lake
14office

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

Faceit stats

Combat

498Matches
51%Win rate
0.96Avg K/D
76.5ADR
41%Headshot %

Clutches & streaks

34%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage5956%1.0114.4
Nuke4260%0.9715.6
Inferno4159%1.0215.9
Vertigo2763%1.1916.9
Ancient2540%0.8613.6
Dust22133%0.8314.2
Overpass2035%1.1316.4
Anubis1250%0.8915.5

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.

16.5%Headshot accuracy
41.2%Accuracy (enemy spotted)
46.5%Spray accuracy
79.9%Counter-strafing
8.4°Preaim
540msReaction time
30.8%T opening success
48.4%CT opening success
0.61Enemies flashed / flash
5.0%Flash assists
9.62HE damage / grenade
4.66Flashes / 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

    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 30.7784% — below the 40% mark we flag

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.0615%19 Sept →
ancient4–130.0223%16 Sept →
nuke9–20.1427%30 Jul →
nuke9–13-0.0122%27 Jun →
nuke13–4-0.030%17 Jun →
cache8–13-0.0413%2 May →
inferno13–9-0.0812%16 Apr →
inferno11–13-0.0218%7 Apr →
nuke1–13-0.1022%4 Apr →
ancient13–110.0112%4 Apr →
dust26–13-0.0119%2 Apr →
mirage13–70.0127%2 Apr →
mirage15–15-0.0620%30 Mar →
nuke7–13-0.060%26 Mar →
vertigo13–10-0.0121%24 Mar →
dust28–13-0.0217%22 Mar →
ancient13–70.018%22 Mar →
mirage13–8-0.0210%22 Mar →
ancient9–130.0219%21 Mar →
inferno7–13-0.0513%19 Mar →
ancient13–30.0525%19 Mar →
ancient10–130.0813%15 Mar →
ancient15–150.0313%14 Mar →
inferno13–110.0412%14 Mar →
overpass5–130.0131%12 Mar →
dust29–13-0.0522%10 Mar →
nuke13–100.0419%9 Mar →
mirage13–50.0822%9 Mar →
mirage9–130.0116%8 Mar →
inferno9–13-0.0114%8 Mar →
ancient13–00.0917%8 Mar →
nuke7–00.2026%8 Mar →
overpass13–9-0.048%8 Mar →
overpass9–13-0.0211%8 Mar →
mirage9–13-0.0421%8 Mar →
inferno13–40.0030%6 Mar →
nuke13–10-0.0111%5 Mar →
ancient10–13-0.0012%5 Mar →
inferno9–13-0.0419%4 Mar →
mirage13–9-0.0319%4 Mar →
nuke13–90.0420%1 Mar →
anubis13–30.0115%22 Feb →
nuke13–70.028%22 Feb →
mirage8–13-0.0810%15 Feb →
dust26–13-0.089%12 Feb →
inferno13–9-0.0211%8 Feb →
anubis5–130.026%8 Feb →
nuke7–130.0417%8 Feb →
nuke10–130.0222%8 Feb →
dust213–70.0725%6 Feb →
anubis9–130.0811%6 Feb →
mirage13–9-0.0315%2 Feb →
mirage13–50.0913%30 Jan →
dust214–16-0.0125%24 Jan →
anubis13–80.0011%24 Jan →
dust27–13-0.0618%22 Jan →
train13–100.0418%15 Jan →
anubis3–13-0.0419%14 Jan →
nuke13–100.0113%10 Jan →
train13–80.1314%3 Jan →
ancient13–50.0412%3 Jan →
nuke13–90.0411%2 Jan →
mirage16–14-0.0213%2 Jan →
overpass10–130.0615%26 Dec →
mirage13–30.048%26 Dec →
inferno11–13-0.009%25 Dec →
mirage16–140.0414%25 Dec →
mirage13–100.0613%25 Dec →
ancient13–20.1812%25 Dec →
overpass13–7-0.0314%25 Dec →
nuke16–130.0310%25 Dec →
nuke13–70.0416%23 Dec →
overpass4–13-0.0214%18 Dec →
nuke11–130.0314%17 Dec →
mirage16–14-0.0215%14 Dec →
overpass9–130.0012%7 Dec →
nuke13–10.0816%7 Dec →
nuke8–13-0.0223%7 Dec →
train13–8-0.019%7 Dec →
inferno10–130.0410%6 Dec →
nuke13–40.077%6 Dec →
overpass9–13-0.0117%6 Dec →
ancient13–80.0514%6 Dec →
nuke13–100.0019%3 Dec →
nuke9–60.0322%2 Dec →
inferno5–90.0015%2 Dec →
nuke8–130.0311%29 Nov →
mirage16–120.0120%29 Nov →
nuke13–90.0213%2 Nov →
nuke9–13-0.027%26 Oct →
ancient7–13-0.059%25 Oct →
inferno13–90.0928%24 Oct →
mirage4–13-0.0310%24 Oct →
mirage13–80.0516%23 Oct →
mirage13–50.0216%23 Oct →
mirage14–16-0.0214%11 Oct →
mirage13–10.1924%10 Oct →
inferno13–90.1312%10 Oct →
inferno4–13-0.0121%28 Sept →
inferno13–11-0.0016%27 Sept →

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 →