bottl

bottl — CS2 Stats

NO76561197983654870[U:1:23389142]Steam profile ↗✓ No bans

1,920Tracked matches57%Win rate2020Tracked since
4,500Hours in CS18Hrs last 2 wks
CSDB Rating5.6 SolidSupport
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches6546+19
Win rate49%50%−1pp
K/D0.670.60+0.07
Headshot %49%51%−2pp

Measured 23 Sep 2026 → 26 Oct 2026; previous 31 Aug 2026 → 23 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), 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 playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate54.0%45.7%46.8%above
Shot accuracy12.5%12.7%13.0%0.5% short
Kill/death ratio0.801.051.060.26 short
Match win rate41.4%45.7%46.3%4.9% short

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGbottlFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.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

Aim61
Positioning37
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY56–44Last 10056%Win rateLLLWLWWLLW

Last 10 vs previous 10: −40pp win rate · +0.01 avg rating · −0.1pp headshot accuracy · +21ms reaction

Win rate down 40pp 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 719ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 637ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 626ms

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 (+3.2 against its own average).

Aim6.1
Utility7.0
Positioning3.7
Opening Duels1.1
Clutch3.4

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 74% 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. 620ms 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

Aim6.1
Positioning3.7
Utility7.0
Mechanics6.3
Opening Duels2.7
Win Impact7.2

Composite 5.6/10 (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 rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time610ms+32ms
first ⅓ avg 577ms → last ⅓ avg 610ms
Headshot accuracy19.4%+1.3%
first ⅓ avg 18.0% → last ⅓ avg 19.4%

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

0.11Best match rating · 13–8 · dust2, 14 Aug →
35%Best headshot accuracy · 6–13 · cache, 5 Sept →
359msFastest reaction time · 13–9 · mirage, 8 Aug →
13–2Biggest win · mirage, 5 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
11–12In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 63% over 24cacheWeakest map · 47% over 15
MapGradePlayedRecordWin rateAvg rating
infernoA2415–963%-0.03
mirageB2211–1150%-0.02
dust2A2213–959%-0.01
ancientA169–756%-0.01
cacheB157–847%-0.03
anubis—11–0100%-0.06

Across the last 100 tracked matches.

Lifetime stats

119,830Lifetime kills
0.80K/D
5,690Matches
41.4%Match win rate
54.0%Headshot % · Top 25% of Level 7 players
12.5%Shot accuracy
9,067MVPs
2,864Hours (in match)
5,794Bombs planted
1,360Bombs defused

Most-used weapons

Lifetime map wins

12,652inferno
7,374dust2
3,591nuke
1,954train
1,918cbble
983vertigo
70lake
35ar_shoots

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

Faceit stats

Combat

786Matches
51%Win rate
0.70Avg K/D
61.0ADR
49%Headshot %

Clutches & streaks

37%1v1 clutch win
15%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage7762%0.7611.2
Inferno7256%0.7512.0
Ancient6351%0.7311.8
Dust24951%0.7512.0
Cache3148%0.7210.7
Anubis1979%0.8110.7
Vertigo1242%0.6211.8
Train757%0.6714.3

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.

19.0%Headshot accuracy
32.3%Accuracy (enemy spotted)
38.6%Spray accuracy
78.4%Counter-strafing
10.9°Preaim
620msReaction time
42.6%T opening success
39.1%CT opening success
0.69Enemies flashed / flash
7.5%Flash assists
13.05HE damage / grenade
9.72Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.1273% — 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.

47% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.0523%23 Oct →
mirage6–13-0.0519%21 Oct →
dust25–13-0.0826%16 Oct →
dust213–110.0318%12 Oct →
cache11–13-0.0227%10 Oct →
ancient13–11-0.0423%7 Oct →
mirage16–13-0.0313%3 Oct →
dust211–130.0515%3 Oct →
dust24–13-0.0218%2 Oct →
mirage13–6-0.0024%2 Oct →
mirage13–11-0.069%30 Sept →
cache16–13-0.0419%30 Sept →
inferno13–9-0.0224%30 Sept →
inferno13–11-0.0422%28 Sept →
dust25–13-0.0029%28 Sept →
inferno13–30.0424%28 Sept →
ancient6–13-0.1118%26 Sept →
inferno13–5-0.0115%26 Sept →
inferno13–4-0.0327%25 Sept →
dust213–8-0.0123%25 Sept →
dust222–18-0.0313%21 Sept →
mirage13–6-0.0310%21 Sept →
dust213–60.0126%21 Sept →
cache11–13-0.0515%17 Sept →
inferno17–19-0.0511%16 Sept →
mirage8–130.0111%16 Sept →
inferno13–9-0.0424%15 Sept →
cache9–13-0.0320%15 Sept →
ancient9–130.0430%14 Sept →
mirage13–9-0.0012%14 Sept →
ancient13–40.0614%12 Sept →
cache13–11-0.0223%12 Sept →
inferno3–13-0.0814%12 Sept →
dust213–10-0.0113%12 Sept →
mirage7–13-0.0412%12 Sept →
dust26–130.0315%11 Sept →
cache9–13-0.0114%11 Sept →
dust213–8-0.0417%11 Sept →
inferno3–13-0.1113%11 Sept →
inferno17–19-0.0718%10 Sept →
mirage13–50.067%10 Sept →
inferno16–19-0.0431%9 Sept →
dust213–7-0.0327%9 Sept →
cache13–6-0.0317%8 Sept →
mirage9–13-0.0119%8 Sept →
ancient16–14-0.0212%7 Sept →
dust213–9-0.0118%7 Sept →
inferno7–13-0.0317%7 Sept →
ancient13–5-0.0315%6 Sept →
dust29–13-0.0611%6 Sept →
ancient13–9-0.0025%5 Sept →
inferno13–9-0.0024%5 Sept →
mirage8–13-0.0725%5 Sept →
cache6–13-0.0535%5 Sept →
ancient9–13-0.069%4 Sept →
inferno13–11-0.0214%4 Sept →
mirage6–13-0.0324%4 Sept →
inferno13–10-0.0625%4 Sept →
dust213–40.0230%3 Sept →
cache4–13-0.069%3 Sept →
ancient13–10-0.0011%3 Sept →
inferno13–70.0022%2 Sept →
inferno13–11-0.0410%31 Aug →
dust216–13-0.0512%29 Aug →
cache7–13-0.0315%29 Aug →
mirage9–130.0020%29 Aug →
mirage11–13-0.0415%28 Aug →
mirage13–11-0.0416%28 Aug →
dust213–9-0.0623%27 Aug →
ancient10–13-0.0313%27 Aug →
cache16–12-0.0123%26 Aug →
ancient13–9-0.049%26 Aug →
dust213–80.1127%14 Aug →
cache13–7-0.048%14 Aug →
mirage19–22-0.0417%14 Aug →
dust214–160.0423%13 Aug →
anubis13–11-0.0613%13 Aug →
ancient13–80.0015%13 Aug →
inferno11–13-0.0618%13 Aug →
inferno16–13-0.0223%8 Aug →
mirage13–9-0.0332%8 Aug →
inferno16–14-0.0420%7 Aug →
dust26–13-0.108%7 Aug →
inferno11–130.0111%6 Aug →
ancient11–130.0516%6 Aug →
inferno13–9-0.0320%6 Aug →
mirage6–13-0.0620%5 Aug →
ancient13–7-0.0417%5 Aug →
dust213–6-0.0623%5 Aug →
mirage13–20.0617%5 Aug →
cache13–4-0.0216%5 Aug →
ancient10–13-0.0327%5 Aug →
mirage13–100.0320%3 Aug →
ancient10–130.0423%1 Aug →
cache13–4-0.0117%1 Aug →
dust28–13-0.0318%31 Jul →
cache11–13-0.0210%31 Jul →
mirage13–10-0.0120%31 Jul →
mirage10–13-0.0324%29 Jul →
inferno13–10-0.0511%27 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 →

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