wooden sword

wooden sword — CS2 Stats

76561198033745228[U:1:73479500]Steam profile ↗✓ No bans

3,003Tracked matches55%Win rate2020Tracked since
CSDB Rating6.2 SolidAll-Rounder
Premier CS Rating26,612Top 5% of 180,525 CSDB-tracked playersRed band · top ~2.2% of ranked players (population est.)
CSDB Leaderboard#7697 of 224301 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 42 days played since 25 Apr 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 26,612 +957 20 May16 Sept · 4 days played
25,53426,721peak 26,72120 May16 Sept
26,828Peak Premier in tracked matches
2,722Highest Faceit ELO seen on CSDB
42Days played since 2026-04-25

Faceit ELO

  • At peak — 2,722
  • Next: 3,000 ELO at 3,000 278 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-28
  • Level 10 first seen 2026-08-28

Premier CS Rating

  • 109 below peak (26,721)
  • Next: Gold band at 30,000 3,388 to go
  • Reached: Red band · Pink band · Purple band · Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGwooden swordPREMIER26,612 · Red bandPEAK ELO2,722csdb.gg/stats

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Performance scores

Aim75
Positioning51
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY46504Last 10046%Win rateWLLWLWWWLW

Last 10 vs previous 10: +20pp win rate · +0.05 avg rating · −1.6pp headshot accuracy · −61ms 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

  • 23 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 500ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 556ms

Last 20

  • 1010 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 587ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim7.5
Utility5.1
Positioning5.1
Opening Duels3.3
Clutch4.8

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 97% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Areas to improve

T-side openings. Opening success drops from 50% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

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
Positioning5.1
Utility5.1
Mechanics6.6
Opening Duels2.5
Win Impact6.7

Composite 6.2/10 (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 rating0.01−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time575ms−69ms
first ⅓ avg 643ms → last ⅓ avg 575ms
Headshot accuracy22.7%−7.3%
first ⅓ avg 30.0% → last ⅓ avg 22.7%

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

0.17Best match rating · 7–13 · cache, 29 Apr
100%Best headshot accuracy · 13–0 · nuke, 23 May
375msFastest reaction time · 4–13 · nuke, 2 Jul
13–0Biggest win · nuke, 21 Jun

Across the last 100 tracked matches.

Highlights

4Longest win streak
54In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 67% over 12infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
cacheB31141745%0.03
mirageC1871139%0.01
nukeS128467%0.04
dust2C114736%0.01
ancientC73443%0.01
infernoD62433%0.02
vertigo31233%-0.02
overpass32167%0.07
anubis3030%0.03
office220100%-0.05
italy1010%0.13
alpine110100%0.09
stronghold110100%-0.01
warden110100%0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,102Matches
51%Win rate
1.04Avg K/D
72.2ADR
40%Headshot %

Clutches & streaks

44%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient33456%1.0014.3
Mirage31948%1.0114.3
Anubis15250%0.9715.2
Nuke11657%1.0014.2
Dust29241%1.0014.3
Inferno9149%1.0815.8
Overpass6256%1.0113.5
Train5357%1.0214.3

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.

22.0%Headshot accuracy
35.8%Accuracy (enemy spotted)
37.2%Spray accuracy
79.6%Counter-strafing
10.7°Preaim
562msReaction time
30.3%T opening success
49.8%CT opening success
0.52Enemies flashed / flash
7.5%Flash assists
9.32HE damage / grenade
7.37Flashes / 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 30.3047% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–11-0.0522%16 Sept
dust210–130.0624%16 Sept
mirage8–13-0.0620%6 Sept
mirage7–1-0.029%6 Sept
nuke9–130.0115%6 Sept
nuke13–2-0.0021%6 Sept
nuke5–20.0725%6 Sept
nuke13–70.1521%31 Aug
mirage7–130.0728%31 Aug
cache13–50.0116%28 Aug
mirage2–13-0.0118%28 Aug
dust25–13-0.0241%24 Aug
vertigo4–13-0.0915%21 Aug
inferno13–30.0010%20 Aug
mirage9–13-0.0418%19 Aug
dust213–5-0.0418%19 Aug
cache13–6-0.0218%16 Aug
mirage1–13-0.0838%9 Aug
cache13–60.0821%9 Aug
cache6–6-0.0120%9 Aug
mirage13–100.1021%6 Aug
overpass2–130.0047%5 Aug
cache9–130.0630%3 Aug
mirage13–100.0720%3 Aug
inferno1–130.0126%31 Jul
nuke13–90.0217%31 Jul
cache15–15-0.0120%31 Jul
vertigo13–40.0215%30 Jul
office13–7-0.0729%30 Jul
dust27–1-0.0017%23 Jul
mirage13–40.0521%23 Jul
mirage9–13-0.0424%13 Jul
nuke5–130.0144%13 Jul
cache16–130.0523%11 Jul
inferno10–13-0.0418%8 Jul
mirage6–130.0115%8 Jul
cache8–130.0219%8 Jul
nuke4–130.0532%2 Jul
dust213–110.0640%2 Jul
italy6–130.1317%2 Jul
mirage8–130.0226%27 Jun
ancient13–30.0216%27 Jun
ancient11–130.0525%24 Jun
inferno2–130.0824%22 Jun
dust29–13-0.0219%21 Jun
dust27–130.0516%21 Jun
nuke13–00.1113%21 Jun
overpass13–110.1224%20 Jun
mirage13–60.0815%17 Jun
inferno4–13-0.0216%17 Jun
anubis8–130.0023%17 Jun
ancient6–13-0.0728%17 Jun
cache12–120.0023%14 Jun
mirage9–130.0228%10 Jun
cache13–60.0821%10 Jun
cache13–70.0935%9 Jun
cache12–120.0124%9 Jun
cache10–13-0.0037%9 Jun
cache13–60.0816%6 Jun
cache9–13-0.0416%6 Jun
nuke13–6-0.0326%30 May
alpine5–20.0933%30 May
office13–10-0.0233%30 May
ancient11–13-0.0635%25 May
dust24–130.0219%25 May
stronghold13–8-0.0138%25 May
warden13–30.1153%25 May
dust21–5-0.0550%23 May
nuke13–00.00100%23 May
mirage13–00.0267%23 May
cache13–80.1019%20 May
vertigo10–130.0118%20 May
dust216–140.1039%20 May
ancient7–130.0024%20 May
cache13–100.0516%10 May
cache3–130.0328%10 May
mirage3–13-0.0226%10 May
cache4–130.0521%10 May
cache8–130.0127%10 May
cache10–130.0324%10 May
cache13–100.0732%10 May
anubis11–130.0613%8 May
ancient8–20.1332%8 May
overpass13–10.1035%8 May
inferno13–40.0635%8 May
nuke8–130.0514%8 May
mirage13–90.0222%8 May
cache8–13-0.0230%8 May
dust24–130.0017%6 May
mirage9–13-0.0324%5 May
cache10–13-0.0237%3 May
cache7–130.1726%29 Apr
cache13–110.0228%29 Apr
cache12–120.0429%29 Apr
cache7–130.0420%29 Apr
cache6–2-0.0623%28 Apr
cache13–40.0628%28 Apr
anubis7–130.0137%25 Apr
nuke13–40.0524%25 Apr
ancient13–100.0227%25 Apr

Match data via Leetify.

Recent teammates

Milestones

2.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →