?

? — CS2 Stats

RU76561198166910177[U:1:206644449]Steam profile ↗✓ No bans

845Tracked matches71%Win rate2020Tracked since
CSDB Rating6.0 SolidSupport
Premier CS Rating22,446Top 25% of 215,386 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)
CSDB Leaderboard#51536 of 261629 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 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: 22,446 +4,902 22 Oct – 11 Nov · 6 days played
17,54422,446peak 22,44622 Oct11 Nov
22,446Peak Premier in tracked matches
31Days played since 2026-06-25

Premier CS Rating

  • At peak — 22,446
  • Next: Red band at 25,000 — 2,554 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

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CSDB.GG?PREMIER22,446 · Pink bandcsdb.gg/stats

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Performance scores

Aim69
Positioning45
Utility61

0–100 skill scores via Leetify.

Recent form

HOT55–34–11Last 10055%Win rateWLLWWWWLWW

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −0.4pp headshot accuracy · −18ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 589ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 538ms

Last 20

  • 14–4–2 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 547ms

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 (+2.1 against its own average).

Aim6.9
Utility6.1
Positioning4.5
Opening Duels1.3

Strong CT-side opener

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

NiKo

Plays most like NiKo 81% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim 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

T-side openings. Opening success drops from 46% on CT to 30% 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

Aim6.9
Positioning4.5
Utility6.1
Mechanics5.2
Opening Duels2.0
Win Impact10.0

Composite 6.0/10 (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 rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time527ms−27ms
first ⅓ avg 555ms → last ⅓ avg 527ms
Headshot accuracy14.0%−0.2%
first ⅓ avg 14.1% → last ⅓ avg 14.0%

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

0.18Best match rating · 13–2 · ancient, 8 Sept →
34%Best headshot accuracy · 9–13 · nuke, 12 Oct →
297msFastest reaction time · 0–3 · mirage, 13 Aug →
13–0Biggest win · inferno, 12 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
9–4In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 71% over 7mirageWeakest map · 50% over 26
MapGradePlayedRecordWin rateAvg rating
mirageB2613–1350%-0.01
dust2A2113–862%-0.00
infernoA1710–759%0.03
cacheS96–367%0.00
anubisS75–271%-0.01
ancientB63–350%0.01
vertigoA53–260%-0.03
nuke—41–325%-0.02
train—30–30%0.00
overpass—21–150%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (50% over 26). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

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

14.5%Headshot accuracy
35.5%Accuracy (enemy spotted)
38.8%Spray accuracy
73.5%Counter-strafing
9.6°Preaim
523msReaction time
30.1%T opening success
46.2%CT opening success
0.57Enemies flashed / flash
5.6%Flash assists
9.92HE damage / grenade
9.18Flashes / 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 14.5306% — 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 30.148% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
anubis13–70.0214%11 Nov →
mirage2–13-0.0121%11 Nov →
anubis10–13-0.044%11 Nov →
dust213–5-0.0211%11 Nov →
mirage10–6-0.0220%5 Nov →
anubis13–4-0.0417%5 Nov →
inferno13–50.0615%5 Nov →
ancient7–13-0.068%3 Nov →
inferno13–9-0.018%3 Nov →
mirage13–7-0.048%3 Nov →
inferno15–150.0313%3 Nov →
cache16–140.0013%3 Nov →
ancient13–10.025%3 Nov →
mirage13–80.0018%2 Nov →
cache13–100.0815%2 Nov →
mirage12–12-0.0614%29 Oct →
nuke12–30.0616%29 Oct →
inferno7–13-0.049%29 Oct →
dust213–110.0116%29 Oct →
mirage9–0-0.0111%24 Oct →
dust213–4-0.0116%22 Oct →
cache6–13-0.059%22 Oct →
anubis13–6-0.0315%22 Oct →
dust213–80.0421%15 Oct →
train2–110.0222%15 Oct →
cache13–10.0413%15 Oct →
mirage7–13-0.0716%15 Oct →
mirage13–60.0219%12 Oct →
nuke9–13-0.0334%12 Oct →
vertigo13–100.0819%12 Oct →
anubis13–4-0.0113%12 Oct →
nuke12–120.0111%30 Sept →
ancient0–6-0.050%30 Sept →
mirage8–130.0114%30 Sept →
dust25–3-0.049%30 Sept →
ancient13–1-0.0112%27 Sept →
anubis13–80.027%27 Sept →
mirage5–130.0313%27 Sept →
inferno13–11-0.0211%23 Sept →
overpass12–12-0.0515%23 Sept →
mirage13–90.046%23 Sept →
overpass13–7-0.036%16 Sept →
mirage13–9-0.069%16 Sept →
vertigo7–13-0.0813%16 Sept →
dust28–130.0115%16 Sept →
inferno13–50.0110%9 Sept →
mirage11–13-0.0017%8 Sept →
cache13–11-0.0413%8 Sept →
dust213–70.0314%8 Sept →
ancient13–20.1815%8 Sept →
mirage13–9-0.0314%8 Sept →
cache13–70.029%8 Sept →
inferno13–30.069%8 Sept →
dust213–10.0721%8 Sept →
inferno13–80.1210%3 Sept →
mirage7–13-0.0717%2 Sept →
inferno11–13-0.048%2 Sept →
vertigo13–110.0216%2 Sept →
cache13–1-0.0212%29 Aug →
mirage6–13-0.0324%27 Aug →
dust213–80.0323%27 Aug →
anubis5–130.0418%27 Aug →
inferno12–120.028%27 Aug →
dust213–8-0.0420%26 Aug →
inferno13–70.1124%26 Aug →
cache12–12-0.0216%19 Aug →
dust213–70.0520%19 Aug →
dust213–9-0.0124%19 Aug →
mirage0–3-0.000%13 Aug →
train12–12-0.0215%13 Aug →
dust210–13-0.0813%13 Aug →
mirage13–5-0.0211%13 Aug →
inferno13–00.0419%12 Aug →
inferno3–130.0016%12 Aug →
inferno8–130.1711%12 Aug →
mirage10–13-0.0619%12 Aug →
dust211–130.0820%5 Aug →
vertigo10–13-0.0612%5 Aug →
dust211–130.0115%5 Aug →
nuke5–13-0.097%5 Aug →
mirage4–13-0.0314%5 Aug →
mirage10–13-0.0313%5 Aug →
dust213–11-0.0213%5 Aug →
inferno12–12-0.0514%30 Jul →
mirage13–20.0815%30 Jul →
vertigo2–1-0.1315%30 Jul →
dust213–90.0619%30 Jul →
mirage12–120.0110%19 Jul →
dust21–13-0.088%19 Jul →
dust24–130.0219%17 Jul →
mirage13–110.0014%16 Jul →
dust28–13-0.0617%16 Jul →
inferno13–9-0.0119%8 Jul →
ancient12–12-0.0312%7 Jul →
mirage13–5-0.0513%7 Jul →
inferno13–7-0.006%25 Jun →
dust212–12-0.0919%25 Jun →
train1–130.0113%25 Jun →
mirage13–90.0514%25 Jun →
cache10–130.0021%25 Jun →

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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