Tony

Tony — CS2 Stats

76561198179378450[U:1:219112722]Steam profile ↗✓ No bans

1,628Tracked matches67%Win rate2020Tracked since
CSDB Rating6.6 SolidSupport
Premier CS Rating26,491Top 10% of 215,386 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)
CSDB Leaderboard#10348 of 261527 tracked
FaceitLevel 10 · 2,062 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Nov 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,628 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 26,491 -856 14 Jan – 8 Nov · 21 days played
19,69527,581peak 27,58114 Jan8 Nov
Faceit ELO: 2,062 +0 19 Sept – 8 Nov · 3 observations
2,0622,062peak 2,06219 Sept8 Nov
27,666Peak Premier in tracked matches
2,062Highest Faceit ELO seen on CSDB
37Days played since 2026-01-14

Faceit ELO

  • At peak — 2,062
  • Next: 2,500 ELO at 2,500 — 438 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-19
  • Level 9 first seen 2026-09-19

Premier CS Rating

  • 1,090 below peak (27,581)
  • Next: Gold band at 30,000 — 3,509 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-19
  • Pink band first seen 2026-09-19

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.GGTonyFACEITLevel 10 · 2,062 ELOSTANDINGTop 12.4% of rankedPREMIER26,491 · Red bandPEAK ELO2,062csdb.gg/stats

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Performance scores

Aim76
Positioning45
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY54–41–5Last 10054%Win rateWWWLLLLWLL

Last 10 vs previous 10: −50pp win rate · −0.04 avg rating · +1.8pp headshot accuracy · −95ms reaction

Win rate down 50pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 445ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 28%
  • Avg reaction 495ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 27%
  • Avg reaction 542ms

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).

Aim7.6
Utility6.2
Positioning4.5
Opening Duels2.6
Clutch3.2

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 90% 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Reaction time. 574ms 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

Aim7.6
Positioning4.5
Utility6.2
Mechanics6.2
Opening Duels2.0
Win Impact10.0

Composite 6.6/10 (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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time568ms−31ms
first ⅓ avg 598ms → last ⅓ avg 568ms
Headshot accuracy26.1%+3.0%
first ⅓ avg 23.1% → last ⅓ avg 26.1%

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

0.20Best match rating · 13–2 · mirage, 4 Jul →
75%Best headshot accuracy · 9–13 · dust2, 14 Jul →
391msFastest reaction time · 13–0 · mirage, 16 Jul →
13–0Biggest win · mirage, 16 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
5–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 69% over 36dust2Weakest map · 42% over 26
MapGradePlayedRecordWin rateAvg rating
mirageS3625–1169%0.02
dust2C2611–1542%0.01
infernoA116–555%-0.00
anubisB105–550%-0.01
cacheB63–350%-0.01
ancientB63–350%0.02
nuke—40–40%-0.04
train—11–0100%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (42% over 26). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,646Matches
51%Win rate
1.11Avg K/D
79.5ADR
52%Headshot %

Clutches & streaks

36%1v1 clutch win
22%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage20154%1.1516.0
Dust28849%1.1215.4
Anubis8456%1.0615.9
Ancient4945%1.0716.6
Inferno4852%1.1116.9
Vertigo2124%0.9917.4
Nuke1650%1.0416.3
Overpass1020%0.8615.5

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.

26.3%Headshot accuracy
31.1%Accuracy (enemy spotted)
31.6%Spray accuracy
78.1%Counter-strafing
7.9°Preaim
574msReaction time
32.4%T opening success
43.7%CT opening success
0.68Enemies flashed / flash
7.5%Flash assists
11.11HE damage / grenade
10.63Flashes / 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 32.3928% — below the 40% mark we flag

Spend your practice time on Dust 2

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

42% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–90.0120%24 Jul →
mirage13–9-0.0024%24 Jul →
mirage13–00.0050%16 Jul →
cache6–13-0.130%16 Jul →
mirage10–13-0.0026%16 Jul →
anubis1–13-0.050%16 Jul →
mirage11–13-0.0324%16 Jul →
cache13–10-0.0229%15 Jul →
dust27–13-0.0127%15 Jul →
dust29–13-0.0475%14 Jul →
inferno13–80.0520%13 Jul →
dust213–9-0.0337%13 Jul →
cache13–50.0122%13 Jul →
mirage13–40.0250%13 Jul →
dust213–00.0124%12 Jul →
mirage13–4-0.0514%11 Jul →
inferno1–13-0.0420%9 Jul →
mirage13–30.0515%9 Jul →
mirage13–110.0530%9 Jul →
dust213–30.0226%5 Jul →
inferno13–110.0245%5 Jul →
mirage13–80.0518%5 Jul →
dust213–16-0.0620%5 Jul →
mirage13–70.0118%5 Jul →
ancient13–10-0.0038%5 Jul →
dust213–30.0539%5 Jul →
mirage13–80.0619%5 Jul →
ancient9–130.0126%5 Jul →
anubis13–8-0.0619%5 Jul →
mirage11–13-0.078%5 Jul →
mirage16–120.0923%5 Jul →
mirage13–20.2036%4 Jul →
dust214–160.0219%30 Jun →
dust215–150.0327%30 Jun →
anubis13–11-0.0132%21 Jun →
anubis10–130.0220%21 Jun →
dust213–30.0626%21 Jun →
dust213–20.0815%19 Jun →
mirage13–60.0723%18 Jun →
dust211–130.0919%18 Jun →
inferno13–50.0418%16 Jun →
mirage13–90.0323%16 Jun →
mirage13–60.0015%16 Jun →
anubis10–13-0.0424%16 Jun →
cache12–12-0.0136%11 Jun →
cache1–13-0.0443%19 May →
dust213–40.0426%19 May →
mirage7–130.0931%19 May →
mirage12–120.0019%17 May →
cache13–20.1223%29 Apr →
mirage13–60.0325%28 Apr →
dust24–13-0.0038%28 Apr →
mirage13–8-0.0326%5 Feb →
nuke8–13-0.0431%5 Feb →
inferno13–5-0.0530%4 Feb →
mirage13–50.0216%4 Feb →
dust213–10-0.0119%4 Feb →
inferno8–80.0323%1 Feb →
inferno4–9-0.0721%1 Feb →
dust210–13-0.0514%31 Jan →
dust211–130.0525%31 Jan →
inferno13–110.0236%29 Jan →
mirage5–13-0.0129%29 Jan →
nuke9–13-0.0521%29 Jan →
mirage13–70.1532%29 Jan →
mirage13–7-0.0122%29 Jan →
dust211–13-0.0117%29 Jan →
dust26–130.1135%29 Jan →
mirage13–9-0.0215%29 Jan →
ancient16–130.0623%28 Jan →
mirage13–40.0727%28 Jan →
anubis11–13-0.0128%28 Jan →
dust26–13-0.0732%25 Jan →
mirage10–130.0417%25 Jan →
nuke1–13-0.0521%24 Jan →
mirage8–130.0024%24 Jan →
dust213–90.0821%22 Jan →
mirage13–10-0.0016%22 Jan →
mirage0–60.0418%22 Jan →
anubis13–80.0720%21 Jan →
anubis13–40.0532%21 Jan →
mirage13–90.1122%21 Jan →
ancient19–170.0215%20 Jan →
dust210–13-0.098%20 Jan →
inferno11–13-0.0119%19 Jan →
train13–6-0.0226%19 Jan →
dust213–70.0324%19 Jan →
mirage3–13-0.0216%19 Jan →
inferno5–13-0.0617%18 Jan →
ancient1–130.0138%18 Jan →
ancient15–150.0125%18 Jan →
mirage3–13-0.0919%17 Jan →
mirage13–90.0016%16 Jan →
dust213–7-0.0534%16 Jan →
nuke10–13-0.0434%15 Jan →
anubis7–13-0.0425%15 Jan →
mirage13–9-0.0017%14 Jan →
inferno13–70.0420%14 Jan →
dust210–13-0.0131%14 Jan →
dust214–160.0430%14 Jan →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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