Psykonikke

Psykonikke — CS2 Stats

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

866Tracked matches57%Win rate2024Tracked since
1,876Hours in CS54Hrs last 2 wks
CSDB Rating6.8 SolidSupport
Premier CS Rating27,846Top 5% of 204,316 CSDB-tracked playersRed band · top ~1.6% of ranked players (population est.)
CSDB Leaderboard#2802 of 251406 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (2 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: 27,846 +249 5 Sept – 11 Oct · 9 days played
27,29428,265peak 28,2655 Sept11 Oct
28,560Peak Premier in tracked matches
13Days played since 2026-09-05

Premier CS Rating

  • 419 below peak (28,265)
  • +249 over 30 days · steady
  • Next: Gold band at 30,000 — 2,154 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches93——
Win rate63%——
K/D1.27——
Headshot %43%——

Measured 9 Sep 2026 → 13 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 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 rate43.3%49.2%50.7%7.4% short
Shot accuracy0.0%13.4%11.8%11.8% short
Kill/death ratio1.511.121.18above
Match win rate65.4%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.GGPsykonikkePREMIER27,846 · Red bandcsdb.gg/stats

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Performance scores

Aim83
Positioning44
Utility74

0–100 skill scores via Leetify.

Recent form

STEADY48–42–10Last 10048%Win rateTWWWWWLLLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +5.9pp headshot accuracy · −27ms 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

  • 4–0–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 33%
  • Avg reaction 517ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 27%
  • Avg reaction 487ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 500ms

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).

Aim8.3
Utility7.4
Positioning4.4
Opening Duels0.0

Strong CT-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

Twistzz

Plays most like Twistzz 73% 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 39 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 39% on CT to 12% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.3
Positioning4.4
Utility7.4
Mechanics7.5
Opening Duels1.1
Win Impact7.4

Composite 6.8/10 (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+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time506ms−72ms
first ⅓ avg 578ms → last ⅓ avg 506ms
Headshot accuracy21.6%+3.7%
first ⅓ avg 17.9% → last ⅓ avg 21.6%

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

0.23Best match rating · 13–7 · nuke, 24 Sept →
53%Best headshot accuracy · 8–3 · dust2, 11 Oct →
328msFastest reaction time · 13–11 · mirage, 19 Sept →
13–0Biggest win · mirage, 5 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 86% over 7infernoWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
dust2C2310–1343%0.02
infernoC176–1135%0.03
nukeB147–750%0.04
mirageC114–736%-0.00
ancientB105–550%0.03
anubisA85–363%0.04
cacheS76–186%0.05
trainC52–340%0.04
overpass—32–167%-0.02
vertigo—21–150%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,840Lifetime kills
1.51K/D · Top 10% of Red band
1,043Matches
65.4%Match win rate · Top 5% of Red band
43.3%Headshot %
0.0%Shot accuracy
3,257MVPs
393Hours (in match)
2,594Bombs planted
439Bombs defused

Most-used weapons

AK-475,588
AWP2,424
MAC-101,004
MP7597
HE Grenade517

Lifetime map wins

3,095dust2
1,221inferno
1,116nuke
566train
532vertigo
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.

22.0%Headshot accuracy
34.0%Accuracy (enemy spotted)
32.3%Spray accuracy
83.6%Counter-strafing
7.9°Preaim
504msReaction time
11.6%T opening success
38.9%CT opening success
0.72Enemies flashed / flash
5.3%Flash assists
12.11HE damage / grenade
13.83Flashes / 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 11.5658% — 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.

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
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 →
mirage13–6-0.024%24 Sept →
inferno12–120.0411%24 Sept →
nuke13–70.0610%24 Sept →
dust212–120.0711%24 Sept →
dust25–130.0126%24 Sept →
inferno7–13-0.069%24 Sept →
inferno11–130.0424%24 Sept →
dust213–90.0812%24 Sept →
mirage12–120.0415%24 Sept →
nuke8–130.0810%24 Sept →
nuke13–70.2314%24 Sept →
dust213–5-0.0026%23 Sept →
vertigo1–13-0.025%23 Sept →
anubis2–130.0411%22 Sept →
nuke13–50.1016%22 Sept →
nuke13–100.108%20 Sept →
nuke13–7-0.0313%20 Sept →
anubis5–130.0124%20 Sept →
anubis13–80.1615%20 Sept →
inferno9–130.1425%20 Sept →
ancient12–120.0016%20 Sept →
mirage12–120.0926%20 Sept →
mirage13–110.0327%20 Sept →
anubis13–90.0413%20 Sept →
ancient13–90.0718%20 Sept →
anubis13–50.0915%20 Sept →
mirage6–13-0.0614%19 Sept →
anubis10–13-0.0933%19 Sept →
dust24–13-0.0428%19 Sept →
dust213–60.077%19 Sept →
dust212–120.0316%19 Sept →
nuke13–40.0219%19 Sept →
mirage13–11-0.0117%19 Sept →
cache13–60.1322%19 Sept →
ancient3–130.0630%19 Sept →
mirage3–13-0.0318%19 Sept →
nuke8–13-0.039%19 Sept →
ancient10–130.0412%19 Sept →
cache13–90.0327%13 Sept →
train10–130.1012%13 Sept →
ancient12–12-0.0214%13 Sept →
dust212–120.006%13 Sept →
inferno9–130.0315%13 Sept →
dust213–60.0317%13 Sept →
inferno13–60.0712%13 Sept →
dust21–4-0.0850%13 Sept →
ancient6–13-0.048%13 Sept →
vertigo13–110.0222%13 Sept →
ancient13–90.0315%13 Sept →
train13–50.0926%11 Sept →
overpass10–13-0.0018%11 Sept →
inferno9–70.0528%11 Sept →
inferno3–9-0.1913%11 Sept →
inferno13–80.0711%11 Sept →
nuke13–50.0411%11 Sept →
dust213–110.0414%11 Sept →

Match data via Leetify.

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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