kRoNic

kRoNic — CS2 Stats

IE76561197967774696[U:1:7508968]Steam profile ↗✓ No bans

573Tracked matches54%Win rate2022Tracked since
2,445Hours in CS63Hrs last 2 wks
CSDB Rating7.4 StrongPositional Player
Premier CS Rating20,124Top 50% of 201,122 CSDB-tracked playersPink band · top ~8.4% of ranked players (population est.)
CSDB Leaderboard#76660 of 247940 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (5 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: 20,124 +1,114 13 Sept – 27 Sept · 9 days played
19,01020,124peak 20,12413 Sept27 Sept
20,124Peak Premier in tracked matches
26Days played since 2026-09-02

Premier CS Rating

  • At peak — 20,124
  • Next: Red band at 25,000 — 4,876 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-26
  • Blue band first seen 2026-09-26

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

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches8——
Win rate50%——
K/D0.57——
Headshot %86%——

Measured 26 Sep 2026 → 2 Oct 2026; no observation near 14 days ago, so there is no previous window yet.

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches97——
Win rate48%——
K/D0.93——
Headshot %74%——

Measured 6 Sep 2026 → 2 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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate62.5%46.9%49.2%above
Shot accuracy15.5%13.0%13.4%above
Kill/death ratio1.051.081.120.07 short
Match win rate44.9%46.7%48.5%3.6% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGkRoNicPREMIER20,124 · Pink 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

Aim84
Positioning71
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY48–47–5Last 10048%Win rateTLLWLLWWWL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +3.3pp headshot accuracy · −10ms 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 470ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 536ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 541ms

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 against its own average).

Aim8.4
Utility4.7
Positioning7.1
Opening Duels6.5

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

s1mple

Plays most like s1mple 94% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 63% T opening-duel success — entries that actually open the round.

Areas to improve

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

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

Aim8.4
Positioning7.1
Utility4.7
Mechanics7.6
Opening Duels8.2
Win Impact6.2

Composite 7.4/10 (Strong), 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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time533ms+24ms
first ⅓ avg 509ms → last ⅓ avg 533ms
Headshot accuracy19.9%−0.9%
first ⅓ avg 20.8% → last ⅓ avg 19.9%

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

0.16Best match rating · 13–6 · cache, 25 Sept →
50%Best headshot accuracy · 0–13 · dust2, 22 Sept →
359msFastest reaction time · 0–13 · dust2, 22 Sept →
13–0Biggest win · cache, 5 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak
5–7In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 53% over 15mirageWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B3015–1550%0.02
cacheB2111–1052%0.05
ancientB158–753%0.03
mirageD122–1017%0.04
anubisB84–450%0.05
trainB63–350%0.03
nuke—42–250%0.04
inferno—43–175%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

111,711Lifetime kills
1.05K/D
2,206Matches
44.9%Match win rate
62.5%Headshot % · Top 10% of Pink band
15.5%Shot accuracy · Top 50% of Pink band
5,061MVPs
1,637Hours (in match)
2,708Bombs planted
926Bombs defused

Most-used weapons

AK-4770,418
AWP6,205
FAMAS1,014
Knife575

Lifetime map wins

14,281dust2
1,976inferno
1,737cbble
793nuke
566train
27office
24vertigo
21italy

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

Faceit stats

Combat

106Matches
53%Win rate
1.03Avg K/D
—ADR
38%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWL

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.

20.1%Headshot accuracy
35.8%Accuracy (enemy spotted)
37.9%Spray accuracy
84.4%Counter-strafing
8.9°Preaim
517msReaction time
62.8%T opening success
62.7%CT opening success
0.59Enemies flashed / flash
9.4%Flash assists
7.88HE damage / grenade
6.36Flashes / match

Recommended for you

Spend your practice time on Mirage

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

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage12–120.0425%30 Sept →
mirage2–13-0.0418%30 Sept →
dust211–130.0522%28 Sept →
cache13–100.0720%27 Sept →
mirage1–13-0.0823%27 Sept →
anubis2–13-0.029%27 Sept →
nuke13–60.0424%27 Sept →
cache13–70.1526%26 Sept →
ancient13–70.1023%26 Sept →
cache5–130.0716%26 Sept →
dust213–80.0715%26 Sept →
dust212–12-0.0126%26 Sept →
ancient2–130.0210%26 Sept →
anubis9–130.0714%26 Sept →
cache13–60.1619%25 Sept →
cache13–5-0.0320%25 Sept →
dust213–110.0416%25 Sept →
dust211–130.0018%24 Sept →
dust27–130.0122%24 Sept →
cache6–130.0216%24 Sept →
dust213–2-0.0322%23 Sept →
train13–40.1121%23 Sept →
cache4–13-0.0115%23 Sept →
inferno13–60.0522%23 Sept →
ancient13–50.1120%22 Sept →
cache13–60.0525%22 Sept →
dust20–13-0.0650%22 Sept →
inferno1–13-0.076%22 Sept →
dust213–3-0.0118%22 Sept →
dust213–90.0924%21 Sept →
train12–120.0514%21 Sept →
cache7–20.0222%21 Sept →
nuke9–13-0.0117%21 Sept →
dust213–9-0.0016%20 Sept →
cache13–60.1215%20 Sept →
dust28–130.0324%20 Sept →
mirage6–130.0826%19 Sept →
anubis13–60.0520%19 Sept →
ancient13–90.0121%19 Sept →
dust25–130.0323%19 Sept →
cache11–130.0320%16 Sept →
ancient13–80.0818%15 Sept →
train7–130.0512%15 Sept →
dust213–40.1327%15 Sept →
cache11–130.0313%14 Sept →
mirage6–130.0823%13 Sept →
cache9–130.0824%13 Sept →
anubis13–30.1624%13 Sept →
ancient8–130.0819%13 Sept →
dust28–130.0328%13 Sept →
cache13–10-0.0018%13 Sept →
ancient11–5-0.0617%13 Sept →
dust213–2-0.0223%13 Sept →
ancient12–16-0.0316%13 Sept →
cache9–130.0218%12 Sept →
ancient13–11-0.0629%12 Sept →
cache16–13-0.0219%12 Sept →
train13–110.0620%11 Sept →
ancient13–20.1419%11 Sept →
ancient13–60.0818%10 Sept →
dust25–130.0920%10 Sept →
cache7–130.0614%10 Sept →
dust213–80.0826%10 Sept →
nuke13–80.1522%10 Sept →
mirage9–130.1022%10 Sept →
cache6–13-0.0423%10 Sept →
mirage13–40.0617%10 Sept →
dust25–13-0.0018%10 Sept →
dust210–13-0.0729%10 Sept →
ancient8–130.0121%9 Sept →
ancient10–13-0.0123%9 Sept →
dust213–70.0226%9 Sept →
anubis6–13-0.0214%9 Sept →
dust213–4-0.0015%9 Sept →
inferno13–100.0225%9 Sept →
dust213–80.0518%9 Sept →
ancient11–130.0525%9 Sept →
dust211–130.0132%9 Sept →
nuke14–16-0.0328%8 Sept →
dust212–120.0710%8 Sept →
train3–13-0.0821%8 Sept →
anubis13–70.1319%8 Sept →
anubis8–130.0323%7 Sept →
cache1–13-0.0225%7 Sept →
dust29–130.0329%7 Sept →
cache13–110.1416%6 Sept →
mirage13–110.0714%6 Sept →
dust213–6-0.0321%6 Sept →
dust213–70.0614%6 Sept →
train13–100.0211%5 Sept →
cache13–00.1121%5 Sept →
anubis13–50.0315%5 Sept →
inferno13–80.0719%4 Sept →
dust25–00.0319%4 Sept →
mirage9–130.0219%4 Sept →
dust28–13-0.0617%4 Sept →
mirage8–130.0327%4 Sept →
ancient6–13-0.0323%4 Sept →
mirage4–130.0423%3 Sept →
mirage12–120.0526%2 Sept →

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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