KID

KID — CS2 Stats

76561198027171811[U:1:66906083]Steam profile ↗✓ No bans

2,642Tracked matches59%Win rate2020Tracked since
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating14,434Blue band · top ~31.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (6 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: 14,434 +446 6 Aug – 9 Oct · 42 days played
12,01014,999peak 14,9996 Aug9 Oct
14,999Peak Premier in tracked matches
45Days played since 2026-08-06

Premier CS Rating

  • 565 below peak (14,999)
  • -565 over 30 days · declining
  • Next: Purple band at 15,000 — 566 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-01
  • Light Blue band first seen 2026-09-01

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

Share this profile

CSDB.GGKIDPREMIER14,434 · Blue bandcsdb.gg/stats

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Performance scores

Aim58
Positioning55
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateWWLLLWWLWT

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +0.7pp headshot accuracy · −43ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 9%
  • Avg reaction 659ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 637ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 10%
  • Avg reaction 658ms

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 (+1.9 against its own average).

Aim5.8
Utility2.9
Positioning5.5
Opening Duels2.3

Limited 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

donk

Plays most like donk 89% 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

Areas to improve

Reaction time. 659ms 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

Aim5.8
Positioning5.5
Utility2.9
Mechanics6.6
Opening Duels3.0
Win Impact7.9

Composite 5.1/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time658ms+11ms
first ⅓ avg 647ms → last ⅓ avg 658ms
Headshot accuracy11.7%−0.1%
first ⅓ avg 11.8% → last ⅓ avg 11.7%

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

0.13Best match rating · 8–5 · rush_001, 30 Sept →
30%Best headshot accuracy · 1–13 · inferno, 21 Sept →
445msFastest reaction time · 13–0 · ancient, 25 Aug →
13–0Biggest win · office, 2 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
5–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 76% over 17infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeS1713–476%0.01
dust2B178–947%0.01
mirageB157–847%-0.00
ancientB126–650%-0.01
cacheB115–645%0.03
infernoD82–625%-0.03
anubisA85–363%-0.02
trainB63–350%0.00
office—32–167%0.03
vertigo—21–150%0.02
rush_001—11–0100%0.13

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno 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.

12.0%Headshot accuracy
40.2%Accuracy (enemy spotted)
40.1%Spray accuracy
79.6%Counter-strafing
12.3°Preaim
659msReaction time
48.5%T opening success
35.1%CT opening success
0.34Enemies flashed / flash
2.8%Flash assists
12.40HE damage / grenade
1.59Flashes / 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 12.3395° — 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 11.973% — below the 15% mark we flag

    Aim Training →
  3. 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 0.3415 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–80.027%9 Oct →
train13–11-0.0116%9 Oct →
nuke4–130.068%8 Oct →
train1–13-0.103%8 Oct →
train11–130.0511%8 Oct →
cache13–10-0.0113%6 Oct →
nuke13–80.028%6 Oct →
nuke11–13-0.0319%4 Oct →
ancient13–70.0311%4 Oct →
ancient15–15-0.0611%4 Oct →
inferno13–6-0.0315%2 Oct →
rush_0018–50.139%30 Sept →
ancient2–13-0.056%28 Sept →
nuke13–90.0811%28 Sept →
dust210–13-0.019%28 Sept →
anubis13–9-0.0210%27 Sept →
cache13–100.088%27 Sept →
dust25–130.0015%26 Sept →
nuke13–50.0510%26 Sept →
nuke13–8-0.037%24 Sept →
vertigo11–130.0715%24 Sept →
cache4–13-0.049%23 Sept →
vertigo13–3-0.0312%23 Sept →
dust213–50.018%23 Sept →
nuke13–20.0225%21 Sept →
inferno1–130.0230%21 Sept →
ancient13–11-0.0214%20 Sept →
cache13–160.0210%20 Sept →
anubis4–13-0.057%20 Sept →
dust213–50.0318%18 Sept →
ancient13–11-0.0216%17 Sept →
ancient9–130.065%17 Sept →
mirage9–13-0.0410%17 Sept →
anubis5–13-0.1126%16 Sept →
dust27–13-0.0214%16 Sept →
nuke9–13-0.0514%16 Sept →
anubis13–10-0.0822%16 Sept →
inferno10–13-0.0212%14 Sept →
ancient13–6-0.037%14 Sept →
mirage13–80.0313%13 Sept →
dust213–100.067%13 Sept →
mirage14–160.0010%12 Sept →
mirage13–90.0017%11 Sept →
inferno13–30.0718%11 Sept →
anubis15–15-0.0514%11 Sept →
mirage7–13-0.0018%11 Sept →
dust26–13-0.0112%10 Sept →
inferno4–13-0.0416%10 Sept →
nuke13–80.028%10 Sept →
dust29–13-0.0119%10 Sept →
anubis13–30.1214%9 Sept →
nuke9–13-0.0413%9 Sept →
anubis13–60.028%9 Sept →
mirage16–140.0511%8 Sept →
dust213–5-0.038%8 Sept →
inferno11–13-0.0626%7 Sept →
office13–70.095%7 Sept →
nuke13–50.0414%6 Sept →
nuke7–4-0.0516%6 Sept →
anubis13–30.016%5 Sept →
cache13–60.0314%5 Sept →
inferno9–13-0.1025%4 Sept →
mirage2–13-0.0918%4 Sept →
dust213–16-0.0121%3 Sept →
cache13–8-0.0124%2 Sept →
office13–00.030%2 Sept →
office9–13-0.0413%2 Sept →
ancient10–13-0.0123%1 Sept →
dust213–70.1210%1 Sept →
dust213–60.0313%1 Sept →
mirage10–130.0320%30 Aug →
dust26–130.038%30 Aug →
dust23–13-0.0123%28 Aug →
cache13–50.117%28 Aug →
train8–13-0.0210%28 Aug →
nuke13–60.0314%27 Aug →
cache7–130.0412%26 Aug →
cache2–130.0613%26 Aug →
cache9–130.0310%26 Aug →
ancient13–00.047%25 Aug →
mirage13–90.0713%25 Aug →
dust213–9-0.0210%25 Aug →
mirage13–7-0.018%24 Aug →
nuke13–90.119%24 Aug →
inferno5–13-0.056%23 Aug →
ancient4–13-0.0618%23 Aug →
ancient15–15-0.0114%22 Aug →
mirage10–130.0211%21 Aug →
dust211–130.0311%21 Aug →
dust213–60.0720%21 Aug →
mirage13–8-0.077%19 Aug →
mirage14–160.0210%18 Aug →
mirage13–11-0.0311%14 Aug →
nuke13–7-0.025%14 Aug →
train13–50.027%14 Aug →
train13–60.0713%14 Aug →
mirage7–13-0.029%9 Aug →
nuke13–10-0.029%7 Aug →
cache10–130.0114%7 Aug →
nuke13–8-0.0015%6 Aug →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.