Psykonikke

Psykonikke — CS2 Stats

FI76561199802977958[U:1:1842712230]Steam profile ↗✓ No bans

922Tracked matches45%Win rate2024Tracked since
2,050Hours in CS110Hrs last 2 wks
CSDB Rating5.9 SolidSupport
Premier CS Rating27,248Top 5% of 213,399 CSDB-tracked playersRed band · top ~1.9% of ranked players (population est.)
CSDB Leaderboard#5342 of 260001 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 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: 27,248 -349 5 Sept – 1 Nov · 14 days played
27,24828,265peak 28,2655 Sept1 Nov
28,265Peak Premier in tracked matches
16Days played since 2026-09-05

Premier CS Rating

  • 1,017 below peak (28,265)
  • -46 over 30 days · steady
  • Next: Gold band at 30,000 — 2,752 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-05
  • Pink band first seen 2026-09-05

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

How this compares with the same rank

Median values for Red band among CSDB-tracked players (n=13,318), 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 playerRed band medianGold band medianvs Gold band
Headshot rate43.1%49.3%50.9%7.8% short
Shot accuracy0.0%13.4%11.8%11.8% short
Kill/death ratio1.491.121.18above
Match win rate64.7%48.5%51.9%above

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

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

Share this profile

CSDB.GGPsykonikkePREMIER27,248 · Red bandcsdb.gg/stats

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Performance scores

Aim75
Positioning39
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateWWLWWWLLLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +0.9pp headshot accuracy · +33ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 12%
  • Avg reaction 587ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 11%
  • Avg reaction 575ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 10%
  • Avg reaction 559ms

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 (+3.5 against its own average).

Aim7.5
Utility7.2
Positioning3.9
Opening Duels0.0

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

ZywOo

Plays most like ZywOo 71% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Reaction time. 562ms 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

Aim7.5
Positioning3.9
Utility7.2
Mechanics7.9
Opening Duels0.0
Win Impact3.3

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time566ms+20ms
first ⅓ avg 545ms → last ⅓ avg 566ms
Headshot accuracy14.6%−2.7%
first ⅓ avg 17.3% → last ⅓ avg 14.6%

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

0.18Best match rating · 9–2 · cache, 1 Nov →
53%Best headshot accuracy · 8–3 · dust2, 11 Oct →
344msFastest reaction time · 13–10 · ancient, 5 Oct →
13–0Biggest win · mirage, 5 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
4–8In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 61% over 18nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2D279–1833%0.01
cacheA1811–761%0.03
infernoB157–847%0.05
mirageB105–550%-0.01
nukeD92–722%0.00
anubisB63–350%0.07
trainD62–433%0.01
ancientA53–260%0.01
vertigo—22–0100%0.04
overpass—22–0100%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,664Lifetime kills
1.49K/D · Top 10% of Red band
1,096Matches
64.7%Match win rate · Top 5% of Red band
43.1%Headshot %
0.0%Shot accuracy
3,372MVPs
414Hours (in match)
2,706Bombs planted
462Bombs defused

Most-used weapons

AK-475,841
AWP2,510
MAC-101,047
MP7649
HE Grenade543

Lifetime map wins

3,229dust2
1,286inferno
1,145nuke
594train
558vertigo
8italy
4ar_shoots
4ar_baggage

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

Skill profile

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

12.9%Headshot accuracy
34.4%Accuracy (enemy spotted)
36.8%Spray accuracy
85.8%Counter-strafing
7.7°Preaim
562msReaction time
28.1%T opening success
30.1%CT opening success
0.66Enemies flashed / flash
4.3%Flash assists
13.11HE damage / grenade
13.48Flashes / 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 12.9178% — below the 15% mark we flag

    Aim Training →
  2. 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 28.0899% — below the 40% mark we flag

Spend your practice time on Nuke

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–10-0.0710%1 Nov →
dust213–40.0914%1 Nov →
inferno3–60.1010%1 Nov →
cache9–20.189%1 Nov →
anubis13–20.0319%1 Nov →
inferno13–20.026%1 Nov →
ancient13–160.037%1 Nov →
mirage6–13-0.033%1 Nov →
dust210–130.0116%1 Nov →
mirage13–100.0215%31 Oct →
cache4–13-0.0312%31 Oct →
mirage6–10-0.012%31 Oct →
vertigo13–80.0715%31 Oct →
train6–130.025%31 Oct →
anubis2–130.1110%31 Oct →
cache13–50.0110%31 Oct →
mirage13–10.0315%31 Oct →
inferno8–20.0417%30 Oct →
train9–130.009%30 Oct →
dust25–13-0.035%30 Oct →
inferno6–130.0910%29 Oct →
cache13–100.0018%25 Oct →
cache12–12-0.0522%25 Oct →
dust23–13-0.0713%25 Oct →
dust27–130.0137%25 Oct →
dust27–13-0.0312%25 Oct →
mirage13–90.0812%25 Oct →
nuke11–130.0422%25 Oct →
ancient0–7-0.1233%25 Oct →
train13–70.0110%25 Oct →
dust213–20.0722%25 Oct →
dust211–130.0413%25 Oct →
cache3–13-0.0748%23 Oct →
cache13–90.029%23 Oct →
cache13–30.1423%23 Oct →
dust212–12-0.0515%23 Oct →
dust213–8-0.0510%23 Oct →
cache14–16-0.0320%23 Oct →
dust212–120.0415%23 Oct →
cache13–90.0219%20 Oct →
inferno13–70.0513%18 Oct →
cache11–130.0330%18 Oct →
nuke13–110.0620%18 Oct →
nuke4–13-0.0318%18 Oct →
vertigo13–70.013%18 Oct →
inferno8–80.0724%18 Oct →
nuke9–70.0112%18 Oct →
cache13–100.0027%17 Oct →
dust28–130.0718%17 Oct →
cache10–130.089%17 Oct →
dust28–130.0929%17 Oct →
anubis8–130.0627%17 Oct →
anubis8–130.0911%17 Oct →
inferno13–20.1117%17 Oct →
dust27–5-0.0411%17 Oct →
dust25–13-0.0517%17 Oct →
dust212–120.0234%11 Oct →
dust213–6-0.0027%11 Oct →
dust25–20.0933%11 Oct →
anubis13–110.0718%11 Oct →
dust28–3-0.0153%11 Oct →
cache13–100.0618%11 Oct →
nuke3–13-0.0226%11 Oct →
inferno14–160.0421%11 Oct →
mirage8–130.0113%11 Oct →
dust213–40.0122%11 Oct →
inferno5–130.1117%11 Oct →
overpass13–60.0010%10 Oct →
train12–120.0223%10 Oct →
dust26–13-0.0222%10 Oct →
mirage3–13-0.0431%8 Oct →
train8–13-0.0525%8 Oct →
dust213–100.0821%8 Oct →
train13–40.0321%8 Oct →
ancient13–60.0220%8 Oct →
ancient13–100.0618%5 Oct →
dust21–13-0.0823%5 Oct →
mirage13–0-0.0611%5 Oct →
inferno13–80.0924%5 Oct →
overpass13–2-0.0417%5 Oct →
dust28–130.0233%5 Oct →
inferno13–60.0127%5 Oct →
dust22–13-0.0412%5 Oct →
inferno6–130.0525%1 Oct →
cache0–13-0.0523%1 Oct →
anubis13–80.049%1 Oct →
nuke10–13-0.060%1 Oct →
dust27–130.0817%1 Oct →
cache13–60.1220%1 Oct →
nuke11–130.0614%27 Sept →
cache13–90.0720%27 Sept →
nuke1–13-0.095%27 Sept →
cache13–7-0.0410%27 Sept →
inferno4–13-0.100%27 Sept →
dust211–130.0313%27 Sept →
inferno3–130.0418%27 Sept →
nuke4–130.0621%27 Sept →
inferno13–50.0514%27 Sept →
mirage11–13-0.0123%27 Sept →
ancient13–50.083%24 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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