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Tube — CS2 Stats

76561198182154614[U:1:221888886]Steam profile ↗✓ No bans

1,001Tracked matches50%Win rate2020Tracked since
CSDB Rating5.4 DevelopingSupport
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

+17Tracked matches · now 1,001
+3.3ppWin rate · 46.7% → 50.0%
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. 73 days played since 5 Dec 2024. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 17,726 -1,813 13 Sept21 Dec · 11 days played
17,72621,584peak 21,58413 Sept21 Dec
21,584Peak Premier in tracked matches
73Days played since 2024-12-05

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

Share this profile

CSDB.GGTubeFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim66
Positioning50
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY49456Last 10049%Win rateWLLWLLWLLW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +2.1pp headshot accuracy · −9ms 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

  • 23 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 502ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 581ms

Last 20

  • 812 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 585ms

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: SupportUtility contribution stands above the rest of this profile (+1.6 against its own average).

Aim6.6
Utility5.5
Positioning5.0
Opening Duels1.7
Clutch3.4

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 82% 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 43% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 568ms 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

Aim6.6
Positioning5.0
Utility5.5
Mechanics6.2
Opening Duels1.6
Win Impact5.0

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 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 time595ms+33ms
first ⅓ avg 561ms → last ⅓ avg 595ms
Headshot accuracy19.1%+5.7%
first ⅓ avg 13.5% → last ⅓ avg 19.1%

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

0.25Best match rating · 9–2 · poseidon, 14 Mar
53%Best headshot accuracy · 9–2 · poseidon, 14 Mar
391msFastest reaction time · 8–8 · vertigo, 6 Feb
13–0Biggest win · cache, 17 Jun

Across the last 100 tracked matches.

Highlights

4Longest win streak
138In matches decided by ≤2 rounds
12Overtime games

Map breakdown

poseidonBest map · 67% over 6infernoWeakest map · 0% over 8
MapGradePlayedRecordWin rateAvg rating
mirageS40261465%0.01
ancientD123925%-0.00
nukeA117464%-0.02
infernoD8080%-0.02
poseidonS64267%0.04
overpassD51420%-0.01
dust241325%0.00
cache220100%0.05
train21150%-0.01
whistle21150%0.01
vertigo2020%-0.01
anubis21150%-0.02
eldorado110100%0.12
sanctum1010%0.02
rooftop1010%-0.22
palais110100%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,152Matches
52%Win rate
1.13Avg K/D
78.2ADR
38%Headshot %

Clutches & streaks

37%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage25654%1.1315.7
Ancient8752%1.0716.1
Anubis8349%1.1216.9
Vertigo7057%1.2417.8
Dust24838%1.0013.5
Nuke4250%1.1215.9
Inferno3743%1.0415.5
Cache850%1.5518.8

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.

16.2%Headshot accuracy
34.7%Accuracy (enemy spotted)
36.9%Spray accuracy
78.0%Counter-strafing
10.5°Preaim
568msReaction time
27.8%T opening success
43.1%CT opening success
0.57Enemies flashed / flash
6.7%Flash assists
8.42HE damage / grenade
9.76Flashes / 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 27.7962% — 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.

0% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage16–13-0.027%18 Sept
inferno2–9-0.1625%13 Sept
mirage8–130.0224%12 Sept
mirage16–130.0012%8 Sept
mirage10–13-0.0211%18 Aug
poseidon7–90.0030%17 Aug
cache13–110.0614%13 Aug
mirage11–130.0311%2 Aug
inferno10–130.0111%2 Aug
eldorado9–60.1229%20 Jul
dust29–13-0.0622%5 Jul
inferno9–13-0.0413%17 Jun
cache13–00.0312%17 Jun
ancient7–13-0.027%15 Jun
mirage5–13-0.0324%11 Jun
dust24–130.0018%9 Jun
mirage13–8-0.0115%3 Jun
mirage11–13-0.0615%31 May
mirage13–30.1018%31 May
mirage13–11-0.0311%16 May
ancient9–13-0.0527%4 May
mirage13–70.029%3 May
poseidon9–70.0518%26 Apr
dust213–5-0.0310%10 Apr
poseidon3–9-0.0345%2 Apr
mirage8–130.0320%2 Apr
mirage13–20.0324%1 Apr
mirage5–130.0123%31 Mar
sanctum4–90.0217%15 Mar
poseidon9–5-0.0425%15 Mar
poseidon9–20.2553%14 Mar
ancient13–11-0.0425%10 Mar
nuke2–9-0.187%4 Feb
ancient13–60.027%3 Feb
ancient13–60.0717%2 Feb
poseidon9–60.0415%25 Jan
overpass4–9-0.0210%21 Dec
nuke9–7-0.0427%21 Dec
overpass16–14-0.0023%21 Dec
mirage13–5-0.048%21 Dec
overpass8–130.008%19 Dec
train12–16-0.0034%18 Dec
mirage13–110.0112%7 Dec
overpass8–13-0.0110%16 Nov
nuke1–9-0.1817%2 Nov
ancient9–130.0116%2 Nov
ancient1–13-0.0318%28 Oct
rooftop1–9-0.2227%27 Oct
mirage13–60.0421%27 Oct
mirage11–130.0313%27 Sept
mirage13–80.0113%26 Sept
mirage13–10-0.026%26 Sept
ancient10–13-0.0116%23 Sept
mirage13–20.0115%23 Sept
nuke16–120.0416%22 Sept
mirage16–140.0310%14 Sept
nuke13–70.0317%14 Sept
inferno11–130.0316%14 Sept
mirage13–30.1411%14 Sept
ancient7–13-0.025%14 Sept
train13–3-0.0215%13 Sept
mirage1–100.0212%13 Sept
nuke11–13-0.055%13 Sept
overpass7–13-0.0110%13 Sept
inferno6–13-0.0519%7 Sept
mirage13–30.0117%7 Sept
ancient11–13-0.0216%6 Sept
nuke13–40.0712%6 Sept
mirage13–30.0620%6 Sept
ancient9–110.0313%11 Aug
mirage13–11-0.0110%20 Jul
mirage13–30.0615%18 Jul
mirage13–70.0115%10 May
nuke9–50.0521%1 May
whistle8–80.037%27 Apr
inferno8–80.057%27 Apr
vertigo8–8-0.018%24 Apr
palais9–4-0.0514%20 Apr
inferno4–90.016%19 Apr
anubis13–110.048%18 Apr
inferno15–15-0.0411%13 Apr
mirage16–13-0.027%11 Apr
ancient10–13-0.0011%31 Mar
mirage4–13-0.086%25 Mar
nuke19–17-0.0010%16 Mar
nuke13–30.0126%16 Mar
mirage13–7-0.0118%16 Mar
dust22–90.1124%14 Mar
mirage16–14-0.0216%4 Mar
mirage13–100.0720%10 Feb
whistle9–40.005%6 Feb
vertigo8–8-0.0119%6 Feb
nuke9–13-0.0111%6 Feb
mirage8–13-0.0812%4 Feb
mirage7–13-0.0012%1 Feb
anubis10–13-0.0718%9 Jan
mirage16–140.0317%12 Dec
mirage16–120.0117%11 Dec
mirage8–13-0.0210%7 Dec
mirage12–120.0418%5 Dec

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →