Tony

Tony — CS2 Stats

CU76561199187621168[U:1:1227355440]Steam profile ↗✓ No bans

1,870Tracked matches53%Win rate2021Tracked since
1,947Hours in CS
CSDB Rating6.5 SolidPositional Player
Premier CS Rating19,290Top 50% of 215,386 CSDB-tracked playersPurple band · top ~11.3% of ranked players (population est.)
CSDB Leaderboard#96839 of 261645 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (44 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 19,290 → 19,290
+88Tracked matches · now 1,870
−6.7ppWin rate · 60.0% → 53.3%

Rating over time

Premier CS Rating: 19,290 +0 6 Sept – 2 Oct · 5 observations
19,29019,290peak 19,2906 Sept2 Oct
Faceit ELO: 1,095 +0 6 Sept – 21 Sept · 4 observations
1,0951,095peak 1,0956 Sept21 Sept
19,290Peak Premier on CSDB
1,095Highest Faceit ELO seen on CSDB
28Days played since 2026-09-06

Premier CS Rating

  • At peak — 19,290
  • 0 over 30 days · steady
  • Next: Pink band at 20,000 — 710 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-06
  • Blue band first seen 2026-09-06

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate42.9%44.4%46.9%4.1% short
Shot accuracy6.2%11.9%13.0%6.8% short
Kill/death ratio1.021.031.080.06 short
Match win rate54.6%45.2%46.7%above

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTonyPREMIER19,290 · Purple bandPEAK ELO1,095csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim78
Positioning69
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateLWWLWLLLWW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −1.0pp headshot accuracy · −37ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 494ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 486ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 505ms

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: Positional Player — Positioning stands above the rest of this profile (+2 against its own average).

Aim7.8
Utility4.5
Positioning6.9
Opening Duels6.2
Clutch2.2

Limited utility dependence

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

s1mple

Plays most like s1mple 94% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Strengths

T openings. 73% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim7.8
Positioning6.9
Utility4.5
Mechanics3.9
Opening Duels8.6
Win Impact6.1

Composite 6.5/10 (Solid), 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 rating0.01−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time529ms+45ms
first ⅓ avg 484ms → last ⅓ avg 529ms
Headshot accuracy23.8%+0.1%
first ⅓ avg 23.7% → last ⅓ avg 23.8%

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

0.22Best match rating · 13–5 · cache, 1 Oct →
42%Best headshot accuracy · 3–13 · cache, 3 Nov →
344msFastest reaction time · 5–13 · inferno, 6 Oct →
13–1Biggest win · ancient, 27 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
12–18In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 73% over 11infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2A3419–1556%0.02
mirageC197–1237%0.02
vertigoS128–467%0.02
ancientS118–373%0.00
cacheC94–544%0.07
infernoD62–433%-0.04
anubisC52–340%0.02
overpass—30–30%0.01
nuke—11–0100%0.07

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.

Lifetime stats

92,458Lifetime kills
1.02K/D
4,502Matches
54.6%Match win rate · Top 5% of Purple band
42.9%Headshot %
6.2%Shot accuracy
13,630MVPs
1,947Hours (in match)
4,847Bombs planted
1,293Bombs defused

Most-used weapons

AK-4726,811
AWP19,895
SSG 084,659
Knife2,561
MAC-101,626
MP91,252

Lifetime map wins

11,097dust2
5,668inferno
5,570vertigo
2,704nuke
518train
129cbble
68office
11lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

53Matches
58%Win rate
1.37Avg K/D
96.9ADR
47%Headshot %

Clutches & streaks

31%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1464%1.4220.4
Dust2888%1.5720.3
Nuke850%1.1417.9
Inferno667%1.4318.5
Ancient633%1.4819.3
Anubis580%1.6017.0
Overpass333%1.1516.0
Train20%1.1015.0

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.

25.1%Headshot accuracy
35.6%Accuracy (enemy spotted)
35.6%Spray accuracy
67.7%Counter-strafing
9.1°Preaim
514msReaction time
73.2%T opening success
59.1%CT opening success
0.64Enemies flashed / flash
7.6%Flash assists
9.96HE damage / grenade
2.46Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.4629 — below the 4 mark we flag

    Grenade Lineups →
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 & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.0229%13 Nov →
vertigo16–14-0.0139%13 Nov →
mirage13–110.0128%12 Nov →
mirage11–130.0219%11 Nov →
cache13–80.1111%11 Nov →
dust28–13-0.117%11 Nov →
anubis7–13-0.0032%5 Nov →
vertigo10–13-0.0229%5 Nov →
mirage13–11-0.0426%5 Nov →
dust213–100.0821%4 Nov →
dust213–11-0.0327%4 Nov →
ancient22–200.0326%4 Nov →
dust28–13-0.0230%3 Nov →
anubis13–90.0315%3 Nov →
dust213–110.0430%3 Nov →
dust213–80.0024%3 Nov →
cache3–130.0142%3 Nov →
dust211–130.0222%2 Nov →
dust213–50.0710%2 Nov →
cache16–19-0.0226%2 Nov →
dust210–130.0225%29 Oct →
dust213–7-0.0026%29 Oct →
inferno10–13-0.0533%29 Oct →
cache13–60.1038%29 Oct →
dust28–130.0132%29 Oct →
mirage9–13-0.0217%27 Oct →
inferno13–11-0.0418%27 Oct →
mirage8–13-0.0210%27 Oct →
vertigo13–6-0.0421%27 Oct →
ancient13–10.1428%27 Oct →
vertigo13–40.0412%26 Oct →
anubis6–13-0.0411%26 Oct →
ancient13–8-0.0221%26 Oct →
dust213–90.0637%22 Oct →
mirage7–130.0320%22 Oct →
vertigo16–140.0312%22 Oct →
vertigo13–60.0611%22 Oct →
dust219–16-0.0315%22 Oct →
dust214–160.0126%22 Oct →
dust217–190.0121%21 Oct →
vertigo11–13-0.0619%21 Oct →
ancient13–9-0.0213%21 Oct →
ancient13–10-0.0020%21 Oct →
inferno14–16-0.0214%21 Oct →
dust210–130.0219%20 Oct →
mirage9–130.0538%20 Oct →
dust213–70.0714%20 Oct →
mirage16–130.0519%20 Oct →
anubis13–80.0413%19 Oct →
dust26–13-0.0933%19 Oct →
dust213–7-0.0038%19 Oct →
vertigo11–130.0516%19 Oct →
dust210–13-0.0529%19 Oct →
ancient13–8-0.0019%15 Oct →
vertigo13–50.0418%15 Oct →
nuke13–70.0726%15 Oct →
dust214–160.0415%12 Oct →
mirage14–160.0734%11 Oct →
ancient11–13-0.0414%11 Oct →
overpass7–130.0423%11 Oct →
dust213–4-0.0025%11 Oct →
dust213–11-0.0415%11 Oct →
ancient13–110.0033%11 Oct →
vertigo9–13-0.0229%9 Oct →
mirage6–130.0638%8 Oct →
mirage13–10-0.0613%8 Oct →
anubis11–130.0541%7 Oct →
inferno13–10-0.0214%7 Oct →
dust29–130.0224%6 Oct →
dust216–14-0.0130%6 Oct →
inferno5–13-0.0920%6 Oct →
mirage11–130.0623%5 Oct →
dust213–90.0533%5 Oct →
cache11–130.1126%5 Oct →
ancient9–130.0218%5 Oct →
cache8–130.067%5 Oct →
mirage13–9-0.0017%4 Oct →
dust29–13-0.0622%4 Oct →
cache11–130.0223%4 Oct →
ancient10–13-0.0420%4 Oct →
mirage11–130.1036%4 Oct →
dust26–13-0.0516%4 Oct →
cache13–10-0.0128%4 Oct →
ancient16–12-0.0118%4 Oct →
dust213–50.0823%3 Oct →
mirage13–60.0338%3 Oct →
vertigo13–110.0619%3 Oct →
dust211–130.1834%2 Oct →
dust213–70.1234%1 Oct →
dust213–50.1032%1 Oct →
cache13–50.2229%1 Oct →
vertigo13–50.0817%29 Sept →
overpass5–13-0.0632%28 Sept →
mirage21–250.0530%28 Sept →
mirage13–8-0.0318%28 Sept →
dust213–40.0316%28 Sept →
mirage11–130.0418%28 Sept →
overpass8–130.0326%28 Sept →
mirage4–13-0.0325%28 Sept →
dust213–90.0518%28 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.