TOpz

TOpz — CS2 Stats

DK76561198991175621[U:1:1030909893]Steam profile ↗✓ No bans

1,548Tracked matches41%Win rate2020Tracked since
3,509Hours in CS
CSDB Rating3.6 LearningClutch Specialist
Premier CS Rating12,066Blue band · top ~43.9% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 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.

Rating over time

Premier CS Rating: 12,066 -5,211 30 Jul – 3 Nov · 37 days played
12,06617,717peak 17,71730 Jul3 Nov
18,244Peak Premier in tracked matches
1,428Highest Faceit ELO seen on CSDB
44Days played since 2026-07-30

Faceit ELO

  • At peak — 1,428
  • Next: Level 8 at 1,531 — 103 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-01
  • Level 6 first seen 2026-09-01

Premier CS Rating

  • 5,651 below peak (17,717)
  • -2,479 over 30 days · declining
  • -5,178 over 90 days
  • Next: Purple band at 15,000 — 2,934 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate42.2%42.0%44.4%2.1% short
Shot accuracy14.4%9.6%11.9%above
Kill/death ratio0.960.981.030.07 short
Match win rate47.8%43.8%45.2%above

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTOpzPREMIER12,066 · Blue bandPEAK ELO1,428csdb.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

Aim44
Positioning46
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY44–50–6Last 10044%Win rateTWWLLWLWLL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −6.1pp headshot accuracy · −64ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 605ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 575ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 607ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.5 against its own average).

Aim4.4
Utility4.5
Positioning4.6
Opening Duels2.4
Clutch5.8

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

m0NESY

Plays most like m0NESY 75% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

T-side openings. Opening success drops from 50% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 604ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim4.4
Positioning4.6
Utility4.5
Mechanics3.0
Opening Duels2.5
Win Impact2.1

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time609ms−19ms
first ⅓ avg 629ms → last ⅓ avg 609ms
Headshot accuracy17.9%+0.7%
first ⅓ avg 17.2% → last ⅓ avg 17.9%

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

0.15Best match rating · 13–8 · cache, 20 Sept →
38%Best headshot accuracy · 8–13 · dust2, 31 Oct →
430msFastest reaction time · 8–13 · dust2, 22 Sept →
13–1Biggest win · ancient, 8 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 67% over 9anubisWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2D227–1532%-0.01
ancientB178–947%-0.00
cacheB147–750%0.00
mirageC125–742%0.00
infernoA95–456%-0.01
nukeS96–367%0.02
anubisD82–625%-0.02
debris—31–233%-0.00
vertigo—31–233%-0.01
poseidon—21–150%0.09
fachwerk—11–0100%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

122,251Lifetime kills
0.96K/D
7,121Matches
47.8%Match win rate · Top 25% of Blue band
42.2%Headshot % · Top 50% of Blue band
14.4%Shot accuracy · Top 25% of Blue band
18,676MVPs
3,509Hours (in match)
6,119Bombs planted
1,967Bombs defused

Most-used weapons

AK-4733,158
AWP16,548
SG 5533,087
MAC-102,756
MP92,624

Lifetime map wins

11,544inferno
7,752nuke
6,224vertigo
5,698dust2
3,651train
863cbble
637lake
175office

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

Faceit stats

Combat

314Matches
50%Win rate
1.02Avg K/D
74.8ADR
42%Headshot %

Clutches & streaks

49%1v1 clutch win
24%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient7355%1.0916.1
Inferno6943%1.0115.8
Nuke4240%0.8515.2
Overpass3762%0.9615.6
Mirage911%0.8815.3
Anubis475%0.8012.3
Dust2333%0.7211.7

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.

17.8%Headshot accuracy
31.0%Accuracy (enemy spotted)
32.7%Spray accuracy
63.6%Counter-strafing
10.4°Preaim
604msReaction time
23.9%T opening success
49.7%CT opening success
0.47Enemies flashed / flash
5.9%Flash assists
8.90HE damage / grenade
8.28Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4675 — below the 0.5 mark we flag

    Grenade Lineups →
  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 23.8937% — below the 40% mark we flag

Spend your practice time on Anubis

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–80.0116%4 Nov →
ancient13–100.0119%4 Nov →
inferno13–6-0.0221%4 Nov →
cache10–13-0.0016%3 Nov →
mirage6–130.0011%3 Nov →
mirage13–110.0315%3 Nov →
dust28–130.0118%3 Nov →
ancient13–50.1217%3 Nov →
anubis11–13-0.0215%1 Nov →
anubis10–130.029%1 Nov →
dust28–130.0038%31 Oct →
ancient13–10-0.0218%29 Oct →
inferno13–70.0420%29 Oct →
anubis13–40.0418%29 Oct →
dust28–13-0.0216%27 Oct →
cache6–130.0117%21 Oct →
inferno12–120.0225%20 Oct →
inferno11–13-0.029%18 Oct →
anubis6–13-0.0625%17 Oct →
cache11–13-0.0132%17 Oct →
ancient10–130.0317%11 Oct →
mirage13–100.0110%11 Oct →
dust213–110.0122%11 Oct →
inferno9–7-0.0417%6 Oct →
dust213–5-0.0512%6 Oct →
anubis2–13-0.0611%6 Oct →
cache6–13-0.0718%6 Oct →
mirage7–13-0.0117%6 Oct →
cache13–7-0.0310%4 Oct →
mirage13–40.0631%4 Oct →
debris3–9-0.149%1 Oct →
ancient9–13-0.0312%1 Oct →
poseidon9–50.0430%30 Sept →
ancient5–13-0.0417%30 Sept →
mirage13–40.0920%30 Sept →
nuke13–50.0417%29 Sept →
nuke6–13-0.0321%29 Sept →
ancient12–12-0.0017%28 Sept →
dust28–13-0.0715%22 Sept →
nuke9–13-0.0426%21 Sept →
ancient13–8-0.0713%20 Sept →
cache8–13-0.0611%20 Sept →
cache13–80.1530%20 Sept →
cache13–30.0318%17 Sept →
cache7–13-0.049%17 Sept →
ancient9–13-0.0520%16 Sept →
ancient9–13-0.0619%15 Sept →
nuke6–13-0.0010%15 Sept →
dust28–130.0212%13 Sept →
ancient9–130.0726%11 Sept →
dust216–130.0332%11 Sept →
dust211–130.0122%10 Sept →
ancient13–70.019%8 Sept →
anubis13–40.0113%8 Sept →
ancient13–10.0319%8 Sept →
dust29–13-0.0318%8 Sept →
nuke13–30.0416%8 Sept →
mirage6–130.0315%7 Sept →
dust28–13-0.0417%6 Sept →
cache13–100.1314%5 Sept →
nuke13–80.1320%5 Sept →
mirage9–13-0.057%3 Sept →
vertigo7–13-0.0920%1 Sept →
nuke13–40.038%1 Sept →
mirage1–13-0.0811%18 Aug →
inferno13–7-0.0515%18 Aug →
ancient13–6-0.0219%18 Aug →
dust213–1-0.0413%16 Aug →
poseidon8–80.1413%16 Aug →
anubis3–13-0.093%16 Aug →
mirage6–13-0.096%16 Aug →
vertigo13–80.0621%15 Aug →
dust29–13-0.0418%15 Aug →
dust213–110.0414%15 Aug →
dust210–13-0.0110%15 Aug →
mirage13–110.0216%15 Aug →
cache8–130.0226%15 Aug →
ancient1–130.0027%15 Aug →
ancient9–130.0114%13 Aug →
cache13–2-0.0119%13 Aug →
dust213–5-0.0624%13 Aug →
inferno15–15-0.0510%13 Aug →
nuke13–10.0426%13 Aug →
dust211–13-0.0114%12 Aug →
dust211–13-0.0529%12 Aug →
mirage5–130.0119%11 Aug →
inferno13–8-0.019%11 Aug →
dust215–150.0214%10 Aug →
debris6–90.0916%10 Aug →
debris9–20.0433%10 Aug →
ancient13–9-0.0016%9 Aug →
dust214–160.0122%9 Aug →
vertigo10–13-0.0233%4 Aug →
anubis4–13-0.046%2 Aug →
cache13–8-0.0721%2 Aug →
fachwerk13–5-0.0321%2 Aug →
dust213–40.0813%2 Aug →
cache13–110.0223%31 Jul →
dust22–13-0.045%31 Jul →
nuke13–9-0.0312%30 Jul →

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 →

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