KryptoN*

KryptoN* — CS2 Stats

SA76561198963599159[U:1:1003333431]Steam profile ↗✓ No bans

1,118Tracked matches57%Win rate2020Tracked since
CSDB Rating5.8 SolidSupport
Premier CS Rating21,318Top 50% of 215,386 CSDB-tracked playersPink band · top ~7% of ranked players (population est.)
CSDB Leaderboard#66582 of 261512 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 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: 21,318 +2,458 4 May – 10 Nov · 28 days played
18,33321,318peak 21,3184 May10 Nov
21,318Peak Premier in tracked matches
32Days played since 2026-05-02

Premier CS Rating

  • At peak — 21,318
  • +1,676 over 90 days
  • Next: Red band at 25,000 — 3,682 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-10
  • Blue band first seen 2026-09-10

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

Share this profile

CSDB.GGKryptoN*PREMIER21,318 · Pink bandcsdb.gg/stats

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Performance scores

Aim63
Positioning43
Utility66

0–100 skill scores via Leetify.

Recent form

HOT50–46–4Last 10050%Win rateWWWWWLWWWL

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · +0.5pp headshot accuracy · +47ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 10%
  • Avg reaction 577ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 601ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 10%
  • Avg reaction 577ms

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 (+2.8 against its own average).

Aim6.3
Utility6.6
Positioning4.3
Opening Duels0.4

Strong T-side openerEffective flashes

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

ropz

Plays most like ropz 71% 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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

CT openings. Opening success drops from 47% on T to 24% on CT — first contacts on the defending side are being lost.

Reaction time. 579ms 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

Aim6.3
Positioning4.3
Utility6.6
Mechanics6.5
Opening Duels2.2
Win Impact7.4

Composite 5.8/10 (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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time572ms−74ms
first ⅓ avg 646ms → last ⅓ avg 572ms
Headshot accuracy11.3%+0.1%
first ⅓ avg 11.2% → last ⅓ avg 11.3%

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

0.12Best match rating · 11–13 · mirage, 2 Aug →
22%Best headshot accuracy · 13–6 · ancient, 6 May →
422msFastest reaction time · 11–13 · inferno, 6 May →
13–2Biggest win · inferno, 25 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W5Current streak
9–17In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 68% over 19cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C2711–1641%-0.01
infernoS1913–668%0.01
mirageC167–944%0.00
ancientA117–464%0.00
nukeA106–460%-0.00
anubisC73–443%-0.01
cacheD72–529%-0.01
overpass—31–233%-0.02

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.4%Headshot accuracy
35.6%Accuracy (enemy spotted)
37.1%Spray accuracy
79.2%Counter-strafing
9.8°Preaim
579msReaction time
47.2%T opening success
23.9%CT opening success
0.76Enemies flashed / flash
7.4%Flash assists
11.61HE damage / grenade
7.59Flashes / 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. 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 11.3731% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 23.9112% — below the 40% mark we flag

Spend your practice time on Cache

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–11-0.0310%10 Nov →
anubis13–80.024%10 Nov →
ancient13–7-0.0214%10 Nov →
anubis16–13-0.017%10 Nov →
inferno13–50.0514%10 Nov →
mirage10–13-0.019%10 Nov →
mirage13–9-0.0018%10 Nov →
dust213–100.0311%29 Oct →
inferno13–60.055%29 Oct →
dust22–130.0214%28 Oct →
inferno11–13-0.019%26 Oct →
dust215–150.018%26 Oct →
inferno13–6-0.0414%26 Oct →
nuke13–80.0713%25 Oct →
inferno13–40.119%25 Oct →
nuke5–130.0115%25 Oct →
inferno2–13-0.018%25 Oct →
dust213–30.0713%25 Oct →
inferno13–20.038%25 Oct →
ancient13–80.116%25 Oct →
mirage11–13-0.0014%25 Oct →
mirage11–130.0316%11 Sept →
dust211–13-0.088%11 Sept →
dust215–15-0.0111%4 Sept →
cache10–130.0117%1 Sept →
inferno13–70.0113%26 Aug →
dust24–13-0.049%26 Aug →
dust213–5-0.0112%26 Aug →
ancient13–16-0.0315%26 Aug →
nuke11–13-0.0318%22 Aug →
cache0–7-0.1311%22 Aug →
dust211–13-0.048%22 Aug →
cache14–16-0.0114%22 Aug →
inferno13–110.018%22 Aug →
dust24–13-0.047%22 Aug →
dust213–110.0114%7 Aug →
dust213–3-0.0320%7 Aug →
mirage11–130.1217%2 Aug →
mirage6–13-0.0611%2 Aug →
mirage9–13-0.0319%2 Aug →
dust26–13-0.0414%2 Aug →
nuke13–10-0.0117%31 Jul →
mirage13–10-0.0013%31 Jul →
dust214–16-0.0414%31 Jul →
nuke13–60.0214%31 Jul →
dust29–13-0.029%24 Jul →
dust20–3-0.060%24 Jul →
cache8–13-0.0220%24 Jul →
ancient13–100.0221%17 Jul →
dust213–40.0517%17 Jul →
dust213–100.0819%17 Jul →
dust28–13-0.028%14 Jul →
cache16–13-0.0011%14 Jul →
ancient6–13-0.079%14 Jul →
dust213–110.0015%3 Jul →
nuke13–70.0016%26 Jun →
inferno13–30.055%26 Jun →
nuke10–13-0.0418%25 Jun →
dust28–13-0.0815%25 Jun →
overpass7–13-0.039%25 Jun →
dust211–13-0.077%25 Jun →
inferno5–13-0.045%19 Jun →
anubis13–11-0.024%19 Jun →
overpass13–10-0.046%19 Jun →
inferno13–80.0417%18 Jun →
inferno16–12-0.0113%18 Jun →
nuke13–9-0.0713%18 Jun →
ancient13–6-0.0111%18 Jun →
anubis15–150.0011%12 Jun →
ancient9–13-0.047%12 Jun →
inferno4–13-0.050%12 Jun →
dust213–110.0713%12 Jun →
ancient4–20.0315%29 May →
inferno13–7-0.0114%29 May →
inferno1–40.0212%29 May →
mirage8–130.0520%22 May →
mirage13–100.0210%21 May →
dust29–130.0110%21 May →
mirage13–80.039%21 May →
nuke13–110.0215%15 May →
nuke9–130.0013%15 May →
ancient13–100.0112%15 May →
anubis14–160.016%15 May →
ancient11–13-0.019%15 May →
inferno13–30.026%15 May →
dust23–130.0912%12 May →
mirage16–13-0.0413%12 May →
overpass11–130.0214%12 May →
anubis11–13-0.0311%12 May →
inferno13–80.056%8 May →
mirage13–60.0512%8 May →
mirage14–16-0.0116%8 May →
mirage13–11-0.0316%7 May →
anubis9–13-0.055%6 May →
inferno11–130.019%6 May →
ancient13–60.0422%6 May →
cache13–80.015%4 May →
dust216–12-0.0011%4 May →
mirage11–13-0.067%4 May →
cache12–120.0418%2 May →

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 →

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