:.:Tobil:.: [GER]

:.:Tobil:.: [GER] — CS2 Stats

DE76561198007157890[U:1:46892162]Steam profile ↗✓ No bans

1,055Tracked matches29%Win rate2021Tracked since
3,904Hours in CS29Hrs last 2 wks
CSDB Rating3.1 LearningSupport
Premier CS Rating4,600Grey band · top ~80.5% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (yesterday). 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: 4,600 +850 16 Aug – 30 Sept · 24 days played
3,4206,736peak 6,73616 Aug30 Sept
6,736Peak Premier in tracked matches
35Days played since 2026-08-04

Premier CS Rating

  • 2,136 below peak (6,736)
  • -400 over 30 days · steady
  • Next: Light Blue band at 5,000 — 400 to go
  • Reached: Light Blue band

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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate29.9%38.2%39.9%10.0% short
Shot accuracy14.5%3.6%7.0%above
Kill/death ratio0.950.830.92above
Match win rate32.2%40.2%42.3%10.0% short

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

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

Share this profile

CSDB.GG:.:Tobil:.: [GER]PREMIER4,600 · Grey 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

Aim56
Positioning29
Utility34

0–100 skill scores via Leetify.

Recent form

COLD34–62–4Last 10034%Win rateWLLWTLLLLL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +0.3pp headshot accuracy · +116ms 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 0.04
  • Avg headshot accuracy 12%
  • Avg reaction 741ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 693ms

Last 20

  • 5–13–2 · 25% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 635ms

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 (+1.8 against its own average).

Aim5.6
Utility3.4
Positioning2.9
Opening Duels0.0
Clutch0.0

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

b1t

Plays most like b1t 91% 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

Reaction time. 613ms 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

Aim5.6
Positioning2.9
Utility3.4
Mechanics4.6
Opening Duels0.1
Win Impact0.0

Composite 3.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time617ms−24ms
first ⅓ avg 641ms → last ⅓ avg 617ms
Headshot accuracy8.8%−1.4%
first ⅓ avg 10.2% → last ⅓ avg 8.8%

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

0.16Best match rating · 13–0 · ancient, 1 Sept →
24%Best headshot accuracy · 13–6 · dust2, 30 Sept →
422msFastest reaction time · 13–4 · cache, 13 Sept →
13–0Biggest win · ancient, 1 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
2–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 50% over 10cacheWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C3614–2239%0.01
infernoD164–1225%-0.04
cacheD112–918%-0.02
nukeD102–820%-0.03
mirageB105–550%0.02
ancientC73–443%-0.02
anubisC52–340%-0.03
office—32–167%0.00
italy—10–10%-0.06
overpass—10–10%-0.13

Across the last 100 tracked matches.

Lifetime stats

122,884Lifetime kills
0.95K/D · Top 25% of Grey band
8,046Matches
32.2%Match win rate
29.9%Headshot %
14.5%Shot accuracy · Top 25% of Grey band
8,908MVPs
2,385Hours (in match)
5,735Bombs planted
1,029Bombs defused

Most-used weapons

AK-4733,023
AWP5,461
SG 5535,455
FAMAS3,457
P903,361
AUG2,980

Lifetime map wins

25,152dust2
4,965inferno
2,515nuke
2,351office
600cbble
584train
421vertigo
269italy

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

Faceit stats

Combat

6Matches
33%Win rate
1.28Avg K/D
90.6ADR
33%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Nuke20%0.8415.5
Mirage20%0.7813.0
Vertigo1100%1.8220.0
Anubis1100%2.6013.0

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.

8.4%Headshot accuracy
35.4%Accuracy (enemy spotted)
35.9%Spray accuracy
70.6%Counter-strafing
7.4°Preaim
613msReaction time
30.8%T opening success
22.2%CT opening success
0.46Enemies flashed / flash
3.2%Flash assists
5.97HE damage / grenade
1.96Flashes / 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 8.4414% — 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 0.4591 — 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 30.8099% — below the 40% mark we flag

Spend your practice time on Cache

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–60.1324%30 Sept →
nuke1–13-0.0710%29 Sept →
dust211–130.0313%23 Sept →
dust213–70.027%22 Sept →
mirage12–120.097%21 Sept →
italy6–11-0.066%20 Sept →
dust23–13-0.0512%17 Sept →
anubis2–13-0.045%17 Sept →
nuke2–9-0.118%17 Sept →
inferno6–9-0.1512%17 Sept →
dust20–13-0.085%15 Sept →
nuke8–8-0.0615%15 Sept →
ancient0–13-0.136%15 Sept →
dust23–130.0419%15 Sept →
ancient11–13-0.0213%13 Sept →
inferno8–130.015%13 Sept →
cache13–4-0.017%13 Sept →
ancient13–2-0.088%13 Sept →
mirage13–10-0.028%13 Sept →
dust28–13-0.0214%13 Sept →
nuke8–130.067%12 Sept →
cache4–13-0.013%12 Sept →
office13–8-0.013%12 Sept →
mirage9–13-0.036%12 Sept →
mirage4–130.0511%12 Sept →
inferno3–130.013%10 Sept →
inferno9–13-0.060%9 Sept →
dust21–13-0.0916%9 Sept →
mirage7–13-0.0315%8 Sept →
office13–30.035%8 Sept →
dust212–12-0.004%6 Sept →
dust29–13-0.029%2 Sept →
dust213–110.004%1 Sept →
dust213–50.0813%1 Sept →
anubis13–9-0.049%1 Sept →
inferno13–8-0.036%1 Sept →
ancient13–00.169%1 Sept →
nuke6–13-0.064%1 Sept →
nuke13–20.018%1 Sept →
cache9–13-0.044%1 Sept →
cache2–13-0.112%31 Aug →
mirage8–13-0.005%31 Aug →
dust213–9-0.026%31 Aug →
mirage13–70.058%31 Aug →
dust213–60.076%30 Aug →
dust213–10-0.065%30 Aug →
dust213–30.0413%30 Aug →
dust213–70.013%30 Aug →
dust25–13-0.031%29 Aug →
cache13–16-0.0313%29 Aug →
dust25–13-0.0114%28 Aug →
dust22–130.054%28 Aug →
inferno13–16-0.016%27 Aug →
inferno5–13-0.0010%27 Aug →
inferno5–9-0.077%27 Aug →
dust29–13-0.0414%26 Aug →
cache11–13-0.057%26 Aug →
ancient9–13-0.076%26 Aug →
dust26–130.0615%25 Aug →
dust25–130.019%25 Aug →
office10–13-0.029%24 Aug →
mirage13–20.026%24 Aug →
dust213–90.0614%24 Aug →
dust213–40.0311%23 Aug →
nuke13–10-0.017%23 Aug →
dust213–2-0.048%23 Aug →
inferno13–8-0.049%23 Aug →
anubis2–13-0.0811%22 Aug →
inferno6–9-0.1110%22 Aug →
overpass5–9-0.138%22 Aug →
inferno9–6-0.1514%22 Aug →
dust29–13-0.0518%21 Aug →
cache15–150.0111%20 Aug →
nuke5–13-0.0511%20 Aug →
inferno9–13-0.026%19 Aug →
dust25–130.0810%18 Aug →
dust211–130.038%18 Aug →
dust29–130.0416%18 Aug →
dust213–70.0612%18 Aug →
inferno9–130.047%18 Aug →
cache13–100.057%18 Aug →
dust23–13-0.0113%17 Aug →
ancient5–130.023%17 Aug →
cache4–130.0113%17 Aug →
cache3–130.064%16 Aug →
anubis13–60.0414%16 Aug →
dust210–130.0410%16 Aug →
dust24–13-0.0112%16 Aug →
dust27–13-0.0411%16 Aug →
inferno13–10.0417%16 Aug →
nuke2–130.0219%16 Aug →
mirage13–60.087%16 Aug →
cache8–13-0.094%6 Aug →
nuke6–13-0.019%6 Aug →
inferno10–13-0.078%6 Aug →
ancient13–11-0.027%6 Aug →
anubis4–13-0.039%5 Aug →
dust213–2-0.0113%5 Aug →
mirage13–6-0.029%5 Aug →
inferno5–13-0.056%4 Aug →

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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