`t0ffiiiii #.# R8

`t0ffiiiii #.# R8 — CS2 Stats

76561198005424085[U:1:45158357]Steam profile ↗✓ No bans

1,023Tracked matches45%Win rate2021Tracked since
2,576Hours in CS12Hrs last 2 wks
CSDB Rating4.7 DevelopingSupport
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 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: 15,000 -6,654 19 Mar – 24 Oct · 25 days played
15,00022,956peak 22,95619 Mar24 Oct
22,956Peak Premier in tracked matches
30Days played since 2026-03-19

Premier CS Rating

  • 7,956 below peak (22,956)
  • Next: Pink band at 20,000 — 5,000 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-13
  • Blue band first seen 2026-09-13

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

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 rate38.2%44.4%46.9%8.7% short
Shot accuracy21.2%11.9%13.0%above
Kill/death ratio1.331.031.08above
Match win rate37.3%45.2%46.7%9.3% short

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

Widest gap: Match win rate. 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.GG`t0ffiiiii #.# R8PREMIER15,000 · Purple bandcsdb.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

Aim63
Positioning43
Utility46

0–100 skill scores via Leetify.

Recent form

COLD44–53–3Last 10044%Win rateLWWLLLLLLL

Last 10 vs previous 10: −30pp win rate · +0.02 avg rating · +0.3pp headshot accuracy · +38ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 661ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 593ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 9%
  • Avg reaction 574ms

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 (+1.6 against its own average).

Aim6.3
Utility4.6
Positioning4.3
Opening Duels0.0

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

ZywOo

Plays most like ZywOo 86% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 555ms 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

Aim6.3
Positioning4.3
Utility4.6
Mechanics5.6
Opening Duels1.2
Win Impact3.3

Composite 4.7/10 (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-0.04−0.05
first ⅓ avg 0.00 → last ⅓ avg -0.04
Reaction time564ms−81ms
first ⅓ avg 645ms → last ⅓ avg 564ms
Headshot accuracy11.1%−1.1%
first ⅓ avg 12.3% → last ⅓ avg 11.1%

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

0.12Best match rating · 13–3 · ancient, 20 Mar →
30%Best headshot accuracy · 5–13 · inferno, 4 May →
406msFastest reaction time · 13–9 · nuke, 24 Oct →
13–2Biggest win · cache, 19 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

anubisBest map · 54% over 13mirageWeakest map · 35% over 20
MapGradePlayedRecordWin rateAvg rating
ancientB2211–1150%-0.01
mirageC207–1335%-0.02
infernoC156–940%-0.03
anubisB137–654%-0.01
dust2C104–640%-0.03
cacheB84–450%-0.02
nukeB84–450%-0.02
overpass—21–150%-0.04
train—10–10%0.00
vertigo—10–10%-0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (35% over 20). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

112,438Lifetime kills
1.33K/D · Top 10% of Purple band
4,246Matches
37.3%Match win rate
38.2%Headshot %
21.2%Shot accuracy · Top 1% of Purple band
7,696MVPs
1,823Hours (in match)
3,456Bombs planted
630Bombs defused

Most-used weapons

Lifetime map wins

7,345dust2
4,041inferno
1,130nuke
974train
422cbble
99vertigo
50lake
38safehouse

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.4%Headshot accuracy
36.2%Accuracy (enemy spotted)
40.3%Spray accuracy
75.1%Counter-strafing
10.6°Preaim
555msReaction time
38.8%T opening success
31.0%CT opening success
0.41Enemies flashed / flash
3.8%Flash assists
13.09HE damage / grenade
4.02Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.3631% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4056 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 38.8372% — below the 40% mark we flag

Spend your practice time on Mirage

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

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache10–13-0.059%24 Oct →
nuke16–13-0.0415%24 Oct →
nuke13–90.049%24 Oct →
dust22–13-0.0514%24 Oct →
anubis8–13-0.056%24 Oct →
inferno11–13-0.0411%24 Oct →
dust22–13-0.080%23 Oct →
mirage9–13-0.0510%23 Oct →
ancient11–13-0.028%23 Oct →
ancient11–13-0.0213%20 Oct →
ancient16–130.016%20 Oct →
inferno3–13-0.086%20 Oct →
inferno1–9-0.2010%20 Oct →
inferno1–9-0.198%20 Oct →
cache13–7-0.0013%19 Oct →
anubis7–13-0.0714%19 Oct →
mirage13–50.0113%19 Oct →
ancient13–5-0.014%19 Oct →
train8–130.0010%12 Oct →
anubis13–11-0.016%12 Oct →
ancient13–9-0.036%6 Oct →
nuke13–90.0217%6 Oct →
ancient13–7-0.029%30 Sept →
nuke5–13-0.1019%30 Sept →
inferno13–110.058%30 Sept →
dust27–13-0.0525%30 Sept →
ancient9–13-0.0517%30 Sept →
mirage13–5-0.0511%30 Sept →
ancient11–13-0.0410%29 Sept →
mirage13–110.0115%29 Sept →
cache3–13-0.1117%29 Sept →
ancient15–15-0.0518%22 Sept →
mirage7–13-0.0310%22 Sept →
vertigo0–13-0.077%22 Sept →
anubis13–90.0414%21 Sept →
ancient10–13-0.0110%21 Sept →
cache13–2-0.0317%19 Sept →
anubis9–130.0112%19 Sept →
dust213–90.0114%19 Sept →
cache16–130.0111%19 Sept →
anubis6–13-0.0514%19 Sept →
ancient2–13-0.0512%19 Sept →
ancient6–13-0.079%23 May →
overpass4–13-0.0711%23 May →
mirage13–5-0.052%23 May →
ancient15–15-0.0311%23 May →
inferno8–13-0.025%22 May →
dust213–4-0.056%22 May →
mirage4–130.0216%22 May →
mirage10–13-0.066%22 May →
ancient13–70.0121%14 May →
dust29–130.0220%14 May →
cache4–13-0.019%14 May →
cache13–7-0.027%14 May →
nuke0–13-0.076%14 May →
inferno13–7-0.0011%13 May →
ancient13–80.098%13 May →
mirage10–13-0.0724%13 May →
dust213–11-0.0510%13 May →
ancient4–13-0.078%13 May →
ancient13–7-0.017%13 May →
mirage6–13-0.026%13 May →
inferno13–50.0415%13 May →
inferno16–140.0118%11 May →
mirage7–13-0.0322%11 May →
mirage6–13-0.114%5 May →
inferno5–13-0.0530%4 May →
mirage11–130.0310%4 May →
cache10–130.0017%30 Apr →
mirage10–13-0.0310%25 Apr →
anubis13–9-0.0216%25 Apr →
mirage11–130.049%25 Apr →
inferno9–13-0.0218%25 Apr →
inferno13–8-0.049%23 Apr →
ancient13–7-0.019%15 Apr →
anubis13–70.0712%15 Apr →
ancient13–100.006%12 Apr →
mirage13–11-0.039%12 Apr →
anubis15–150.0414%10 Apr →
overpass13–7-0.0212%10 Apr →
inferno13–40.0626%10 Apr →
mirage16–130.018%10 Apr →
anubis13–70.0512%3 Apr →
mirage13–10-0.027%3 Apr →
inferno5–130.0213%28 Mar →
ancient13–30.079%28 Mar →
anubis13–4-0.0115%28 Mar →
ancient4–130.0110%24 Mar →
nuke7–13-0.007%24 Mar →
nuke13–80.0111%24 Mar →
mirage10–13-0.0111%23 Mar →
inferno6–13-0.0315%23 Mar →
anubis11–13-0.0520%23 Mar →
anubis13–9-0.039%20 Mar →
mirage7–13-0.0313%20 Mar →
dust26–13-0.0118%20 Mar →
ancient13–30.1220%20 Mar →
dust21–13-0.025%20 Mar →
nuke11–13-0.049%19 Mar →
dust213–80.0116%19 Mar →

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.