1kelt

1kelt — CS2 Stats

76561199801413516[U:1:1841147788]Steam profile ↗✓ No bans

230Tracked matches50%Win rate2026Tracked since
663Hours in CS4Hrs last 2 wks
CSDB Rating1.9 LearningPositional Player
Premier CS Rating1,310Grey band · top ~94.4% of ranked players (population est.)
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (4 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: 1,310 -518 9 May – 1 Nov · 12 days played
1,3102,619peak 2,6199 May1 Nov
2,619Peak Premier in tracked matches
42Days played since 2026-05-07

Premier CS Rating

  • 1,309 below peak (2,619)
  • Next: Light Blue band at 5,000 — 3,690 to go

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

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate43.2%38.2%39.9%above
Shot accuracy0.0%3.6%7.0%6.9% short
Kill/death ratio0.580.830.920.34 short
Match win rate32.5%40.2%42.3%9.8% short

This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GG1keltPREMIER1,310 · Grey bandcsdb.gg/stats

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Performance scores

Aim16
Positioning36
Utility22

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateLLWWLWLLLW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +3.5pp headshot accuracy · −38ms 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 -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 733ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 687ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 706ms

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 (+1.7 against its own average).

Aim1.6
Utility2.2
Positioning3.6
Opening Duels0.0

Strong T-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

iM

Plays most like iM 68% 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

CT openings. Opening success drops from 37% on T to 20% on CT — first contacts on the defending side are being lost.

Reaction time. 730ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 36% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.6
Positioning3.6
Utility2.2
Mechanics0.0
Opening Duels0.8
Win Impact5.0

Composite 1.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time735ms−78ms
first ⅓ avg 813ms → last ⅓ avg 735ms
Headshot accuracy18.1%+1.7%
first ⅓ avg 16.4% → last ⅓ avg 18.1%

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

0.19Best match rating · 9–0 · inferno, 15 May →
100%Best headshot accuracy · 13–0 · vertigo, 18 Jul →
516msFastest reaction time · 6–13 · mirage, 6 Sept →
13–0Biggest win · inferno, 9 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
4–9In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 60% over 5anubisWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB3416–1847%-0.04
dust2B2110–1148%-0.01
infernoC156–940%-0.02
anubisC114–736%-0.03
ancientB63–350%-0.03
cacheA53–260%-0.02
vertigo—31–233%0.01
nuke—32–167%-0.04
overpass—21–150%0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,543Lifetime kills
0.58K/D
865Matches
32.5%Match win rate
43.2%Headshot % · Top 25% of Grey band
0.0%Shot accuracy
1,296MVPs
257Hours (in match)
550Bombs planted
105Bombs defused

Most-used weapons

Lifetime map wins

1,653dust2
914inferno
431nuke
97vertigo
14office
7ar_shoots
2italy

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.

15.5%Headshot accuracy
33.1%Accuracy (enemy spotted)
35.1%Spray accuracy
35.6%Counter-strafing
10.6°Preaim
730msReaction time
36.6%T opening success
20.2%CT opening success
0.36Enemies flashed / flash
4.3%Flash assists
2.89HE damage / grenade
8.55Flashes / 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. Movement Guide

    Under half your shots are taken fully stopped, so the bullets are going where the spread sends them rather than where you aim.

    Counter-strafing 35.6093% — below the 45% mark we flag

    Practice Config →
  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 729.9374ms — above the 700ms 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 0.36 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient2–13-0.0715%1 Nov →
anubis8–13-0.068%1 Nov →
ancient13–4-0.0230%1 Nov →
anubis13–9-0.0418%1 Nov →
anubis8–13-0.0414%31 Oct →
dust213–11-0.0610%31 Oct →
mirage5–13-0.0012%17 Oct →
mirage6–13-0.094%6 Sept →
mirage11–130.0816%21 Aug →
mirage8–1-0.0128%21 Aug →
inferno6–3-0.0314%15 Aug →
mirage11–13-0.048%9 Aug →
inferno13–00.039%9 Aug →
mirage13–2-0.0010%3 Aug →
inferno11–13-0.093%3 Aug →
mirage13–11-0.0517%23 Jul →
dust29–130.0115%23 Jul →
mirage9–13-0.058%22 Jul →
dust29–130.0227%22 Jul →
ancient13–5-0.078%22 Jul →
dust213–50.0437%22 Jul →
mirage13–6-0.0622%19 Jul →
anubis13–50.0323%18 Jul →
mirage13–10.028%18 Jul →
mirage13–5-0.0735%18 Jul →
anubis13–50.0811%18 Jul →
vertigo13–00.16100%18 Jul →
dust28–13-0.0613%18 Jul →
ancient5–13-0.0110%9 Jul →
inferno10–130.0118%9 Jul →
inferno13–100.067%7 Jul →
dust27–130.0320%7 Jul →
anubis9–13-0.1118%6 Jul →
dust213–5-0.050%28 Jun →
inferno7–9-0.1916%11 Jun →
anubis4–13-0.124%9 Jun →
mirage9–13-0.0519%7 Jun →
mirage6–13-0.0716%7 Jun →
ancient12–12-0.0729%6 Jun →
mirage5–12-0.0923%5 Jun →
dust213–100.0218%5 Jun →
nuke13–1-0.0422%5 Jun →
mirage13–3-0.0627%5 Jun →
mirage6–0-0.0617%5 Jun →
nuke4–13-0.0613%4 Jun →
mirage13–4-0.0217%4 Jun →
anubis13–8-0.0021%4 Jun →
mirage13–0-0.1150%3 Jun →
mirage16–13-0.0122%1 Jun →
vertigo11–13-0.0411%28 May →
vertigo7–13-0.0826%25 May →
mirage3–13-0.097%25 May →
mirage4–13-0.0920%25 May →
anubis4–30.0425%25 May →
mirage10–13-0.0314%24 May →
dust25–13-0.0521%24 May →
cache13–3-0.0328%23 May →
dust211–13-0.0428%22 May →
mirage4–130.0335%22 May →
mirage13–1-0.0424%22 May →
mirage1–90.0216%20 May →
dust213–40.0324%19 May →
dust213–4-0.0620%18 May →
dust212–12-0.0621%17 May →
dust212–12-0.0523%17 May →
dust29–13-0.0619%17 May →
mirage2–7-0.0610%17 May →
overpass9–13-0.0018%17 May →
mirage3–13-0.0910%17 May →
mirage13–8-0.0412%17 May →
dust213–9-0.0217%17 May →
dust213–30.0318%17 May →
cache8–20.020%17 May →
dust213–40.0822%17 May →
mirage13–10-0.0321%16 May →
cache0–13-0.0420%16 May →
inferno9–00.1944%15 May →
dust216–130.0119%15 May →
overpass13–110.0122%15 May →
ancient13–70.0511%15 May →
inferno6–130.0111%15 May →
anubis11–13-0.0122%14 May →
inferno8–8-0.0320%14 May →
inferno1–9-0.2320%14 May →
inferno13–9-0.0410%14 May →
mirage12–12-0.0218%14 May →
mirage5–130.0613%14 May →
cache5–13-0.0419%13 May →
anubis12–12-0.0611%13 May →
nuke2–3-0.0217%13 May →
inferno13–80.0219%13 May →
inferno7–9-0.037%12 May →
dust21–13-0.0310%12 May →
inferno13–6-0.0127%12 May →
dust23–13-0.0214%11 May →
cache13–3-0.0325%10 May →
mirage13–7-0.0111%10 May →
mirage4–11-0.0419%9 May →
inferno6–13-0.042%7 May →
mirage13–5-0.0312%7 May →

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 →

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