BOT Pat

BOT Pat — CS2 Stats

US76561199072066067[U:1:1111800339]Steam profile ↗✓ No bans

103Tracked matches62%Win rate2021Tracked since
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating13,089Blue band · top ~38.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Aug 2026 (38 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 31 days played since 30 May 2026. Come back after the next session and the change shows above.

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Rating over time

13,089Peak Premier in tracked matches
31Days played since 2026-05-30

Premier CS Rating

  • At peak — 13,089
  • Next: Purple band at 15,000 1,911 to go
  • Reached: Blue band · Light Blue band

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

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CSDB.GGBOT PatPREMIER13,089 · Blue bandcsdb.gg/stats

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Performance scores

Aim65
Positioning52
Utility11

0–100 skill scores via Leetify.

Recent form

HOT50437Last 10050%Win rateWWWLLWWWLW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +3.1pp headshot accuracy · −46ms reaction

Win rate 0pp 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

  • 32 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 31%
  • Avg reaction 719ms

Last 10

  • 73 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 691ms

Last 20

  • 146 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 715ms

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 PlayerPositioning stands above the rest of this profile (+2.5 against its own average).

Aim6.5
Utility1.1
Positioning5.2
Opening Duels1.8

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

ropz

Plays most like ropz 82% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

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

Reaction time. 702ms 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

Aim6.5
Positioning5.2
Utility1.1
Mechanics6.4
Opening Duels1.1
Win Impact9.0

Composite 4.9/10 (Developing), 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 rating0.03+0.04
first ⅓ avg -0.01 → last ⅓ avg 0.03
Reaction time680ms−32ms
first ⅓ avg 712ms → last ⅓ avg 680ms
Headshot accuracy20.5%+5.2%
first ⅓ avg 15.2% → last ⅓ avg 20.5%

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

0.42Best match rating · 5–1 · inferno, 1 Aug
45%Best headshot accuracy · 13–10 · inferno, 27 Aug
492msFastest reaction time · 5–1 · inferno, 1 Aug
13–0Biggest win · mirage, 30 Jun

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
67In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 75% over 8nukeWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB41202149%-0.01
dust2C1881044%0.01
nukeC135838%-0.01
cacheA117464%-0.01
infernoS86275%0.03
train31233%0.01
office21150%0.01
anubis21150%0.02
boulder110100%0.03
ancient1010%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

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

21.5%Headshot accuracy
38.7%Accuracy (enemy spotted)
36.9%Spray accuracy
79.0%Counter-strafing
11.1°Preaim
702msReaction time
32.1%T opening success
36.4%CT opening success
0.26Enemies flashed / flash
1.8%Flash assists
4.15HE damage / grenade
0.80Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 702.1323ms — above the 700ms 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 0.2581 — 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 32.0693% — below the 40% mark we flag

Spend your practice time on Nuke

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–100.0245%27 Aug
boulder13–30.0337%27 Aug
inferno13–7-0.0419%22 Aug
ancient11–130.0225%16 Aug
dust28–130.0728%16 Aug
dust213–40.0110%16 Aug
mirage13–30.0218%16 Aug
nuke13–8-0.0516%16 Aug
cache5–130.0129%15 Aug
train13–70.1218%15 Aug
inferno13–2-0.0038%15 Aug
dust213–40.1016%15 Aug
nuke13–90.1025%15 Aug
mirage13–70.1011%15 Aug
mirage7–13-0.0322%12 Aug
office13–90.0313%10 Aug
dust213–40.0126%10 Aug
mirage13–80.0323%10 Aug
cache8–130.0326%9 Aug
nuke6–13-0.0114%9 Aug
mirage7–13-0.0217%2 Aug
nuke13–60.0520%2 Aug
mirage10–130.0923%2 Aug
office0–20.000%2 Aug
dust20–8-0.0713%2 Aug
train11–13-0.0316%1 Aug
dust213–80.0120%1 Aug
anubis13–110.0319%1 Aug
mirage13–80.0321%1 Aug
dust212–120.0224%1 Aug
inferno5–10.4213%1 Aug
dust26–130.049%1 Aug
inferno7–13-0.0422%1 Aug
nuke1–13-0.0416%1 Aug
dust213–10.0224%1 Aug
mirage12–120.0320%1 Aug
cache13–9-0.0130%1 Aug
train11–13-0.064%26 Jul
cache13–9-0.0410%26 Jul
dust23–12-0.037%26 Jul
mirage8–13-0.0612%26 Jul
dust213–10.1415%26 Jul
anubis10–130.0113%25 Jul
nuke9–13-0.0312%25 Jul
nuke6–130.117%25 Jul
mirage11–13-0.0210%25 Jul
nuke4–130.0320%25 Jul
dust213–40.0213%23 Jul
mirage13–8-0.0215%23 Jul
mirage11–13-0.0225%23 Jul
nuke4–13-0.175%22 Jul
mirage6–130.0222%22 Jul
nuke6–13-0.0717%22 Jul
cache13–5-0.0112%22 Jul
mirage13–11-0.0715%22 Jul
mirage6–130.0215%19 Jul
dust213–11-0.0524%19 Jul
dust24–13-0.055%19 Jul
mirage12–120.0419%19 Jul
mirage11–13-0.0213%19 Jul
dust25–13-0.0530%18 Jul
nuke13–60.0029%14 Jul
mirage12–12-0.0520%14 Jul
inferno3–9-0.2118%14 Jul
dust25–13-0.044%12 Jul
mirage13–7-0.0715%12 Jul
mirage7–13-0.0514%11 Jul
cache13–110.0114%11 Jul
cache8–13-0.0419%11 Jul
mirage15–15-0.0415%11 Jul
dust28–13-0.0318%9 Jul
cache13–10-0.0215%9 Jul
cache2–13-0.124%8 Jul
cache13–110.0219%7 Jul
mirage5–13-0.068%7 Jul
mirage13–80.0823%7 Jul
mirage5–13-0.0122%6 Jul
nuke7–13-0.0213%6 Jul
dust29–130.0114%1 Jul
mirage13–10-0.0025%1 Jul
mirage13–9-0.0115%1 Jul
mirage13–11-0.0213%1 Jul
mirage11–20.017%1 Jul
nuke13–7-0.0317%1 Jul
mirage10–13-0.087%30 Jun
mirage13–00.1029%30 Jun
mirage13–80.0912%30 Jun
mirage13–8-0.0119%30 Jun
mirage12–12-0.0515%30 Jun
mirage10–13-0.088%29 Jun
cache13–2-0.0013%28 Jun
mirage13–40.0131%28 Jun
mirage13–6-0.0412%28 Jun
mirage8–13-0.0913%21 Jun
inferno9–60.0618%20 Jun
inferno9–60.0117%20 Jun
mirage13–10.0211%10 Jun
mirage12–12-0.048%31 May
mirage13–60.0118%30 May
mirage13–80.0013%30 May

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →