D2Kester

D2Kester — CS2 Stats

CY76561198196482169[U:1:236216441]Steam profile ↗✓ No bans

5,242Tracked matches60%Win rate2021Tracked since
10,300Hours in CS40Hrs last 2 wks
CSDB Rating6.7 SolidSupport
FaceitLevel 10 · 2,827 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

+245Faceit ELO · 2,582 → 2,827

Rating over time

2,827Highest Faceit ELO seen on CSDB
77Days played since 2025-07-07

Faceit ELO

  • At peak — 2,827
  • Next: 3,000 ELO at 3,000 — 173 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-16
  • Level 10 first seen 2026-09-16

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches82——
Win rate54%——
K/D0.97——
Headshot %50%——

Measured 9 Sep 2026 → 8 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,304), 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 playerLevel 10 median
Headshot rate48.3%50.9%
Shot accuracy11.5%13.7%
Kill/death ratio0.901.09
Match win rate47.0%48.4%

Share this profile

CSDB.GGD2KesterFACEITLevel 10 · 2,827 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,827csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim79
Positioning54
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY60–40Last 10060%Win rateWWLLLWWWLW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −0.9pp headshot accuracy · −52ms reaction

Win rate +10pp 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 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 525ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 559ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 585ms

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 (+1.7 against its own average).

Aim7.9
Utility6.7
Positioning5.4
Opening Duels4.0
Clutch3.8

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

device

Plays most like device 89% 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

Reaction time. 591ms 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

Aim7.9
Positioning5.4
Utility6.7
Mechanics6.9
Opening Duels2.8
Win Impact8.3

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time600ms+22ms
first ⅓ avg 578ms → last ⅓ avg 600ms
Headshot accuracy24.4%+6.7%
first ⅓ avg 17.7% → last ⅓ avg 24.4%

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

0.10Best match rating · 13–3 · vertigo, 11 Sept →
42%Best headshot accuracy · 2–13 · inferno, 10 Nov →
406msFastest reaction time · 6–13 · ancient, 14 Feb →
13–1Biggest win · inferno, 29 Oct →

Across the last 100 tracked matches.

Highlights

11Longest win streak
W2Current streak
23–13In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 83% over 12ancientWeakest map · 46% over 26
MapGradePlayedRecordWin rateAvg rating
ancientB2612–1446%-0.01
infernoB2312–1152%-0.00
mirageS1510–567%-0.01
overpassS1210–283%0.01
anubisS108–280%0.02
nukeS75–271%0.00
cache—20–20%-0.03
dust2—22–0100%-0.00
train—20–20%-0.06
vertigo—11–0100%0.10

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (46% over 26). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

156,798Lifetime kills
0.90K/D
7,460Matches
47.0%Match win rate
48.3%Headshot %
11.5%Shot accuracy
16,766MVPs
4,656Hours (in match)
7,340Bombs planted
2,228Bombs defused

Most-used weapons

AK-4760,210
AWP5,418
Knife4,913
MP93,985
FAMAS3,643

Lifetime map wins

18,359inferno
6,559vertigo
4,922dust2
4,014nuke
1,844train
176cbble
144lake
102bank

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

Faceit stats

Combat

5,219Matches
52%Win rate
0.97Avg K/D
77.1ADR
47%Headshot %

Clutches & streaks

39%1v1 clutch win
21%1v2 clutch win
13Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage77750%0.9815.3
Anubis71057%1.0515.6
Ancient64851%0.9714.9
Inferno50651%0.9714.9
Nuke18148%0.9414.3
Overpass13058%1.0215.3
Dust29942%0.9114.4
Vertigo8255%0.9614.7

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.

24.6%Headshot accuracy
35.5%Accuracy (enemy spotted)
35.7%Spray accuracy
81.0%Counter-strafing
9.5°Preaim
591msReaction time
36.3%T opening success
45.7%CT opening success
0.59Enemies flashed / flash
10.5%Flash assists
6.49HE damage / grenade
15.81Flashes / 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 36.3188% — 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.

46% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–4-0.0023%5 Oct →
vertigo13–30.1017%11 Sept →
mirage11–13-0.0219%11 Sept →
cache4–13-0.0129%29 Aug →
inferno11–130.0420%19 Aug →
dust213–110.0119%19 Aug →
dust219–17-0.0126%10 Aug →
ancient13–50.0637%6 Aug →
mirage10–13-0.0525%5 Aug →
anubis13–90.0431%28 Jul →
inferno13–11-0.0321%17 Jul →
cache7–13-0.0435%16 Jul →
ancient7–13-0.0521%14 Jul →
nuke11–13-0.0128%11 Jul →
ancient7–13-0.0418%11 Jul →
mirage13–20.0040%9 Jul →
mirage13–11-0.0124%28 Jun →
inferno13–11-0.0418%14 Jun →
mirage7–130.0724%12 Jun →
mirage13–11-0.0226%29 May →
anubis13–40.0727%6 May →
inferno13–11-0.0337%4 May →
mirage13–50.0426%19 Apr →
anubis11–130.0624%16 Apr →
inferno11–130.0928%11 Apr →
inferno13–10-0.0211%3 Apr →
mirage13–110.0212%3 Apr →
ancient13–80.0424%31 Mar →
anubis11–13-0.0323%30 Mar →
anubis13–4-0.0238%23 Mar →
nuke13–9-0.0214%19 Mar →
ancient13–60.0023%19 Mar →
overpass13–80.0919%19 Mar →
anubis13–110.0215%15 Mar →
inferno10–130.0113%14 Mar →
inferno13–5-0.0417%11 Mar →
inferno9–130.0220%22 Feb →
ancient13–50.0329%21 Feb →
anubis13–110.0217%14 Feb →
ancient6–13-0.057%14 Feb →
nuke8–13-0.057%8 Feb →
ancient11–13-0.0319%6 Feb →
anubis13–90.0416%25 Jan →
mirage7–12-0.0519%17 Jan →
ancient4–13-0.0316%10 Jan →
inferno9–130.0012%10 Jan →
anubis13–8-0.0320%10 Jan →
overpass13–160.0327%9 Jan →
inferno10–130.0119%3 Jan →
ancient7–130.0211%3 Jan →
train14–16-0.0412%31 Dec →
ancient13–11-0.0712%31 Dec →
inferno13–40.0624%7 Dec →
inferno10–130.0121%25 Nov →
inferno8–130.0316%22 Nov →
inferno13–9-0.0221%17 Nov →
ancient9–13-0.038%16 Nov →
inferno2–13-0.0442%10 Nov →
overpass11–13-0.0220%8 Nov →
inferno11–130.0220%3 Nov →
inferno13–10.019%29 Oct →
ancient11–13-0.0813%27 Oct →
mirage13–110.0117%27 Oct →
ancient13–100.0117%26 Oct →
inferno13–11-0.0211%25 Oct →
overpass13–50.0322%25 Oct →
overpass13–6-0.0413%19 Oct →
overpass16–140.0417%15 Oct →
overpass13–10-0.026%10 Oct →
mirage13–8-0.0716%10 Oct →
ancient9–130.0514%10 Oct →
ancient13–11-0.0217%4 Oct →
nuke13–70.0320%4 Oct →
inferno13–11-0.0420%4 Oct →
nuke13–8-0.0510%27 Sept →
nuke13–100.0612%25 Sept →
overpass13–60.0714%13 Sept →
inferno16–14-0.038%11 Sept →
mirage13–7-0.0111%10 Sept →
ancient13–100.0215%10 Sept →
overpass13–11-0.0724%1 Sept →
ancient13–100.0321%1 Sept →
train11–13-0.0826%28 Aug →
inferno4–13-0.0531%28 Aug →
ancient13–16-0.0134%28 Aug →
ancient19–17-0.0111%25 Aug →
ancient16–140.0015%18 Aug →
overpass19–17-0.0012%13 Aug →
overpass13–60.0238%28 Jul →
mirage19–170.0016%27 Jul →
overpass13–30.0220%25 Jul →
nuke13–90.0519%24 Jul →
ancient7–13-0.0217%17 Jul →
ancient5–13-0.0612%15 Jul →
ancient11–13-0.0015%12 Jul →
inferno13–11-0.0414%11 Jul →
anubis13–10-0.0016%11 Jul →
ancient7–13-0.0117%11 Jul →
mirage13–7-0.0320%8 Jul →
mirage9–13-0.0427%7 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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