Kylester

Kylester — CS2 Stats

GB76561198119257863[U:1:158992135]Steam profile ↗✓ No bans

3,263Tracked matches50%Win rate2020Tracked since
11,306Hours in CS
CSDB Rating6.2 SolidPositional Player
FaceitLevel 10 · 2,606 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,606 → 2,606
+16Tracked matches · now 3,263
+3.3ppWin rate · 46.7% → 50.0%

Rating over time

Faceit ELO: 2,606 +0 1 Sept – 14 Sept · 3 observations
2,6062,606peak 2,6061 Sept14 Sept
2,606Highest Faceit ELO seen on CSDB
70Days played since 2024-03-30

Faceit ELO

  • At peak — 2,606
  • Next: 3,000 ELO at 3,000 — 394 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-01
  • Level 10 first seen 2026-09-01

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 rate59.2%50.9%
Shot accuracy19.1%13.7%
Kill/death ratio0.951.09
Match win rate47.6%48.4%

Share this profile

CSDB.GGKylesterFACEITLevel 10 · 2,606 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,606csdb.gg/stats

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Performance scores

Aim80
Positioning59
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateWWLLWLWLWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +6.2pp headshot accuracy · +13ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 36%
  • Avg reaction 662ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 36%
  • Avg reaction 659ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 33%
  • Avg reaction 652ms

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).

Aim8.0
Utility3.4
Positioning5.9
Opening Duels3.9
Clutch3.6

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

sh1ro

Plays most like sh1ro 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

Areas to improve

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

Reaction time. 657ms 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

Aim8.0
Positioning5.9
Utility3.4
Mechanics8.0
Opening Duels2.9
Win Impact5.0

Composite 6.2/10 (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 rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time651ms+49ms
first ⅓ avg 601ms → last ⅓ avg 651ms
Headshot accuracy30.8%+0.8%
first ⅓ avg 30.0% → last ⅓ avg 30.8%

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

0.15Best match rating · 13–2 · nuke, 16 Aug →
67%Best headshot accuracy · 0–10 · dust2, 7 Jul →
422msFastest reaction time · 16–12 · anubis, 22 May →
13–1Biggest win · cache, 10 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
6–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 74% over 19ancientWeakest map · 36% over 22
MapGradePlayedRecordWin rateAvg rating
ancientC228–1436%-0.01
mirageB209–1145%-0.01
nukeS1914–574%-0.00
infernoC104–640%0.00
dust2A95–456%0.01
anubisS75–271%0.02
vertigoB63–350%0.01
train—32–167%-0.03
cache—21–150%0.01
overpass—21–150%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 22). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

265,959Lifetime kills
0.95K/D
8,029Matches
47.6%Match win rate
59.2%Headshot % · Top 25% of Level 10 players
19.1%Shot accuracy · Top 10% of Level 10 players
27,922MVPs
11,306Hours (in match)
10,019Bombs planted
4,734Bombs defused

Most-used weapons

AK-47111,659
AWP29,387
Knife5,968
UMP-452,752
FAMAS2,714

Lifetime map wins

16,641nuke
9,388inferno
6,076dust2
5,575vertigo
3,809train
3,386cbble
154office
61lake

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

Faceit stats

Combat

4,271Matches
52%Win rate
1.03Avg K/D
76.1ADR
57%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
14Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage27246%1.0115.8
Nuke21162%1.0815.7
Ancient15050%1.0215.9
Dust26549%0.9816.8
Inferno6242%1.0015.6
Vertigo5555%1.0516.6
Anubis4961%1.0916.6
Overpass3456%1.0116.2

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.

31.3%Headshot accuracy
32.4%Accuracy (enemy spotted)
32.9%Spray accuracy
86.1%Counter-strafing
8.8°Preaim
657msReaction time
38.5%T opening success
44.4%CT opening success
0.57Enemies flashed / flash
8.7%Flash assists
6.83HE damage / grenade
4.32Flashes / 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 38.4761% — 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.

36% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–8-0.0133%27 Oct →
nuke13–20.1522%16 Aug →
cache6–130.0057%4 Jul →
nuke5–13-0.0842%2 Jul →
anubis13–110.0327%21 Jun →
inferno12–16-0.0236%21 Jun →
mirage13–3-0.0135%21 Jun →
mirage10–13-0.0247%20 Jun →
cache13–10.0233%10 May →
mirage13–50.0229%26 Apr →
ancient7–13-0.0418%28 Mar →
ancient13–110.0232%1 Feb →
inferno5–13-0.0329%1 Feb →
overpass7–13-0.0041%1 Feb →
ancient3–13-0.0238%2 Dec →
inferno2–13-0.0515%2 Nov →
overpass13–7-0.0130%26 Oct →
ancient19–22-0.0333%12 Oct →
ancient13–10-0.0222%20 Aug →
dust213–90.0444%31 Jul →
train6–13-0.0922%31 Jul →
dust213–110.0338%31 Jul →
dust213–70.0633%19 Jul →
train13–10-0.0717%18 Jul →
train13–30.0733%3 Jul →
ancient10–130.0321%28 Jun →
ancient11–13-0.0638%23 Jun →
mirage11–13-0.0624%20 Jun →
dust213–100.0132%28 May →
mirage11–13-0.0416%16 May →
ancient5–130.0226%16 May →
inferno13–50.0328%30 Apr →
ancient14–160.0023%30 Apr →
nuke13–90.0253%24 Apr →
mirage13–9-0.0128%14 Apr →
mirage13–8-0.0029%13 Apr →
anubis13–70.0627%13 Apr →
nuke13–11-0.0221%13 Apr →
dust215–19-0.0319%13 Apr →
mirage13–20.0618%24 Mar →
nuke13–60.0348%3 Mar →
ancient12–120.0242%28 Feb →
ancient16–130.0629%9 Feb →
mirage13–80.0415%9 Feb →
mirage11–13-0.0134%4 Feb →
nuke13–9-0.0819%29 Jan →
anubis11–130.1037%28 Jan →
inferno13–9-0.0115%27 Jan →
nuke5–13-0.0443%7 Jan →
inferno13–100.0314%7 Jan →
ancient9–13-0.0729%27 Oct →
anubis13–2-0.0516%27 Oct →
dust29–130.0128%27 Oct →
inferno7–130.0232%25 Oct →
vertigo13–7-0.0335%19 Oct →
ancient13–7-0.0120%19 Oct →
nuke13–60.0035%31 Aug →
inferno9–130.0436%23 Aug →
mirage5–13-0.0129%23 Aug →
ancient13–50.0216%23 Aug →
vertigo2–13-0.0236%20 Aug →
nuke9–13-0.0321%18 Aug →
ancient16–130.0233%17 Aug →
nuke13–70.0753%12 Aug →
nuke13–60.0027%11 Aug →
ancient16–190.0329%28 Jul →
nuke13–20.0941%13 Jul →
mirage13–90.1128%13 Jul →
vertigo13–110.0533%13 Jul →
ancient6–13-0.0633%13 Jul →
dust20–10-0.0967%7 Jul →
nuke11–13-0.1014%5 Jul →
mirage11–13-0.0720%1 Jul →
mirage6–130.0326%26 Jun →
mirage3–13-0.0226%25 Jun →
ancient6–13-0.0720%23 Jun →
mirage8–13-0.0122%16 Jun →
dust213–160.0316%16 Jun →
ancient13–90.0036%16 Jun →
anubis8–13-0.0825%10 Jun →
ancient10–13-0.0633%10 Jun →
ancient22–19-0.0429%31 May →
nuke7–13-0.0438%26 May →
vertigo13–90.0429%24 May →
dust213–100.0338%23 May →
vertigo10–13-0.0133%22 May →
ancient8–130.0124%22 May →
anubis16–120.0323%22 May →
anubis13–40.0322%21 May →
vertigo13–16-0.0029%21 May →
mirage13–10-0.0028%21 May →
nuke13–11-0.0335%17 May →
nuke13–40.0340%17 May →
mirage5–13-0.0721%17 May →
nuke13–7-0.0543%11 May →
mirage13–6-0.0532%22 Apr →
mirage11–13-0.0216%3 Apr →
inferno13–90.0533%2 Apr →
inferno7–13-0.0345%31 Mar →
nuke13–80.0532%30 Mar →

Match data via Leetify.

Recent teammates

Milestones

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

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