kryl

kryl — CS2 Stats

US76561198072213740[U:1:111948012]Steam profile ↗✓ No bans

612Tracked matches38%Win rate2020Tracked since
CSDB Rating3.5 LearningPositional Player
Premier CS Rating11,273Blue band · top ~48.2% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 May 2026 (145 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: 11,273 +585 17 Mar – 20 May · 5 days played
10,10711,273peak 11,27317 Mar20 May
11,597Peak Premier in tracked matches
36Days played since 2026-02-06

Premier CS Rating

  • At peak — 11,273
  • Next: Purple band at 15,000 — 3,727 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GGkrylFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER11,273 · Blue bandcsdb.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

Aim42
Positioning50
Utility22

0–100 skill scores via Leetify.

Recent form

COLD48–44–8Last 10048%Win rateLLWLLLWLLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −3.9pp headshot accuracy · −20ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 8%
  • Avg reaction 561ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 8%
  • Avg reaction 578ms

Last 20

  • 5–12–3 · 25% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 589ms

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 (+3 against its own average).

Aim4.2
Utility2.2
Positioning5.0
Opening Duels0.7
Clutch0.0

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

iM

Plays most like iM 78% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 629ms 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

Aim4.2
Positioning5.0
Utility2.2
Mechanics6.4
Opening Duels0.1
Win Impact1.2

Composite 3.5/10 (Learning), 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 rating-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time621ms+9ms
first ⅓ avg 612ms → last ⅓ avg 621ms
Headshot accuracy9.0%−0.2%
first ⅓ avg 9.2% → last ⅓ avg 9.0%

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 · 9–1 · inferno, 19 May →
29%Best headshot accuracy · 10–13 · dust2, 25 Feb →
352msFastest reaction time · 9–13 · inferno, 10 Oct →
13–1Biggest win · dust2, 20 Mar →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
5–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

overpassBest map · 75% over 8infernoWeakest map · 39% over 18
MapGradePlayedRecordWin rateAvg rating
infernoC187–1139%-0.02
mirageB178–947%-0.02
dust2C167–944%-0.03
ancientB105–550%-0.03
overpassS86–275%-0.03
cacheC73–443%-0.01
vertigoC52–340%-0.03
train—42–250%-0.06
anubis—42–250%-0.02
nuke—22–0100%0.00
eldorado—21–150%-0.14
office—21–150%-0.04
warden—21–150%-0.03
debris—10–10%-0.08
shelter—10–10%-0.08
stronghold—11–0100%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11Matches
55%Win rate
0.58Avg K/D
61.5ADR
37%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage367%0.6712.0
Ancient2100%0.526.5
Anubis250%0.6011.0
Inferno20%0.5815.0
Dust21100%0.829.0

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.

9.6%Headshot accuracy
32.5%Accuracy (enemy spotted)
33.1%Spray accuracy
79.0%Counter-strafing
11.4°Preaim
629msReaction time
29.6%T opening success
31.0%CT opening success
0.31Enemies flashed / flash
2.7%Flash assists
7.35HE damage / grenade
2.94Flashes / 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. 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 9.5701% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3061 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 29.5928% — below the 40% mark we flag

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.

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.093%10 Oct →
inferno9–13-0.0514%10 Oct →
vertigo13–11-0.056%10 Oct →
train4–13-0.0811%10 Oct →
overpass9–13-0.056%10 Oct →
overpass11–13-0.045%9 Oct →
nuke13–60.0511%9 Oct →
ancient2–9-0.075%8 Oct →
dust29–13-0.048%8 Oct →
dust213–6-0.0410%23 Sept →
overpass13–6-0.0212%23 Sept →
vertigo4–13-0.0911%10 Sept →
mirage12–12-0.054%9 Sept →
ancient13–9-0.034%7 Sept →
vertigo12–12-0.0116%7 Sept →
anubis8–13-0.039%7 Sept →
inferno8–13-0.0719%7 Sept →
dust26–13-0.0414%7 Sept →
inferno12–120.0221%7 Sept →
dust29–13-0.0510%2 Aug →
mirage8–13-0.0511%2 Aug →
cache13–40.047%2 Aug →
overpass13–8-0.0513%2 Aug →
inferno5–13-0.0711%2 Aug →
vertigo12–12-0.036%2 Aug →
eldorado2–9-0.220%11 Jul →
eldorado9–7-0.064%11 Jul →
debris6–9-0.0811%11 Jul →
dust213–100.0414%9 Jul →
mirage13–6-0.024%9 Jul →
shelter2–13-0.0810%9 Jul →
office4–13-0.053%9 Jul →
mirage13–50.036%20 May →
mirage13–6-0.068%19 May →
inferno7–13-0.048%19 May →
cache13–90.029%19 May →
ancient10–13-0.0110%19 May →
mirage13–10-0.049%19 May →
inferno9–10.138%19 May →
overpass13–5-0.026%18 May →
ancient13–40.017%18 May →
overpass13–40.016%18 May →
inferno9–13-0.074%17 May →
dust26–13-0.0514%11 May →
inferno11–13-0.0114%11 May →
mirage13–5-0.0511%11 May →
cache12–12-0.0513%11 May →
cache11–13-0.0412%4 May →
cache13–40.0416%29 Apr →
cache9–13-0.059%29 Apr →
cache8–13-0.036%28 Apr →
inferno9–4-0.019%19 Apr →
mirage2–13-0.1417%15 Apr →
ancient13–8-0.054%15 Apr →
dust212–12-0.094%15 Apr →
anubis13–8-0.059%8 Apr →
inferno13–80.0312%8 Apr →
train13–9-0.0713%8 Apr →
mirage7–13-0.007%7 Apr →
train12–12-0.0611%20 Mar →
dust213–1-0.0013%20 Mar →
office13–10-0.035%19 Mar →
inferno11–13-0.128%19 Mar →
mirage9–13-0.016%19 Mar →
mirage14–16-0.0112%19 Mar →
dust216–12-0.039%19 Mar →
mirage13–8-0.0117%19 Mar →
dust216–130.0110%17 Mar →
overpass13–30.008%17 Mar →
inferno13–3-0.057%17 Mar →
overpass13–6-0.0810%12 Mar →
train13–7-0.0313%12 Mar →
dust210–13-0.056%11 Mar →
ancient3–13-0.075%11 Mar →
mirage8–130.0313%11 Mar →
inferno16–12-0.0116%11 Mar →
anubis16–14-0.016%10 Mar →
inferno13–60.016%9 Mar →
dust25–13-0.0813%9 Mar →
inferno13–8-0.015%9 Mar →
ancient13–110.0012%9 Mar →
inferno6–13-0.0513%8 Mar →
mirage2–130.0114%8 Mar →
stronghold13–10-0.035%6 Mar →
ancient13–100.039%6 Mar →
inferno3–13-0.084%6 Mar →
vertigo13–70.033%5 Mar →
nuke13–11-0.053%3 Mar →
dust28–13-0.058%2 Mar →
warden3–13-0.0210%2 Mar →
mirage13–70.017%2 Mar →
ancient12–12-0.036%2 Mar →
dust213–8-0.0410%2 Mar →
dust210–13-0.0229%25 Feb →
dust213–90.0412%25 Feb →
warden13–7-0.054%6 Feb →
ancient9–13-0.085%6 Feb →
anubis3–13-0.018%6 Feb →
inferno8–130.0317%6 Feb →
mirage13–90.058%6 Feb →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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