Pocket Bob

Pocket Bob — CS2 Stats

CA76561198969528218[U:1:1009262490]Steam profile ↗✓ No bans

102Tracked matches48%Win rate2025Tracked since
282Hours in CS20Hrs last 2 wks
CSDB Rating5.6 SolidPositional Player
Ladder ranks via Leetify

Performance scores

Aim57
Positioning64
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY49–41–9Last 9949%Win rateLWLWLTTLWW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · +1.5pp headshot accuracy · −3ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 692ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 654ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 655ms

Newest first, from the last 99 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.6 against its own average).

Aim5.7
Utility5.3
Positioning6.4
Opening Duels3.4
Clutch0.0

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

Twistzz

Plays most like Twistzz 80% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 667ms 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

Aim5.7
Positioning6.4
Utility5.3
Mechanics7.0
Opening Duels3.6
Win Impact4.4

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-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time682ms+11ms
first ⅓ avg 671ms → last ⅓ avg 682ms
Headshot accuracy10.9%+1.3%
first ⅓ avg 9.6% → last ⅓ avg 10.9%

Rolling 5-match average across the last 99 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.21Best match rating · 9–3 · inferno, 6 Dec →
26%Best headshot accuracy · 3–13 · mirage, 1 Nov →
438msFastest reaction time · 6–13 · inferno, 25 Mar →
13–1Biggest win · nuke, 25 Oct →

Across the last 99 tracked matches.

Highlights

6Longest win streak
6–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

overpassBest map · 80% over 5mirageWeakest map · 37% over 30
MapGradePlayedRecordWin rateAvg rating
mirageC3011–1937%-0.02
nukeB2612–1446%-0.01
infernoA169–756%-0.03
anubisA85–363%-0.01
overpassS54–180%-0.02
dust2S54–180%-0.02
ancient—42–250%-0.05
cache—31–233%-0.04
office—10–10%-0.05
train—11–0100%-0.01

Across the last 99 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (37% over 30). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

7,548Lifetime kills
0.95K/D
518Matches
41.9%Match win rate
37.9%Headshot %
0.0%Shot accuracy
774MVPs
191Hours (in match)
317Bombs planted
205Bombs defused

Most-used weapons

Lifetime map wins

622nuke
527dust2
392inferno
132vertigo
120train
87office
84italy
1ar_shoots

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

Faceit stats

Combat

2Matches
0%Win rate
0.32Avg K/D
42.4ADR
38%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

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.

10.9%Headshot accuracy
38.6%Accuracy (enemy spotted)
40.7%Spray accuracy
81.4%Counter-strafing
11.8°Preaim
667msReaction time
41.7%T opening success
47.0%CT opening success
0.56Enemies flashed / flash
8.3%Flash assists
3.63HE damage / grenade
14.71Flashes / 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 10.8984% — below the 15% mark we flag

    Aim Training →
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.

37% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage3–13-0.0226%1 Nov →
nuke13–80.0011%1 Nov →
mirage3–13-0.104%30 Oct →
nuke13–4-0.0413%29 Oct →
anubis8–130.0111%29 Oct →
cache12–12-0.0310%29 Oct →
mirage12–12-0.008%28 Oct →
nuke11–13-0.0314%27 Oct →
anubis13–11-0.019%27 Oct →
nuke13–10.1116%25 Oct →
inferno13–10-0.029%25 Oct →
anubis13–60.029%25 Oct →
ancient3–130.0111%10 Aug →
mirage2–6-0.088%9 Aug →
inferno10–13-0.0219%9 Aug →
inferno11–7-0.027%9 Aug →
nuke11–130.0511%8 Aug →
mirage13–70.058%8 Aug →
nuke13–9-0.0711%19 Jul →
mirage12–12-0.0513%15 Jul →
nuke4–130.0221%12 Jul →
cache2–13-0.046%9 Jul →
anubis13–80.109%9 Jul →
mirage5–13-0.0911%9 Jul →
mirage13–40.029%9 Jul →
mirage7–13-0.056%8 Jul →
cache13–9-0.047%8 Jul →
nuke10–130.029%6 Jul →
mirage13–70.1417%6 Jul →
mirage10–13-0.097%27 Jun →
nuke13–90.0312%27 Jun →
mirage4–13-0.139%21 Jun →
mirage13–110.0311%21 Jun →
nuke12–12-0.028%14 Jun →
nuke6–13-0.044%11 Jun →
mirage2–13-0.067%11 Jun →
overpass13–7-0.0111%10 Jun →
inferno13–5-0.0313%10 Jun →
dust213–10-0.0211%10 Jun →
mirage13–4-0.023%10 Jun →
mirage12–12-0.008%10 Jun →
ancient13–11-0.073%10 Jun →
nuke6–130.003%10 Jun →
nuke6–130.0014%8 Jun →
mirage5–13-0.054%8 Jun →
mirage13–100.0210%6 Jun →
dust210–13-0.0510%6 Jun →
nuke10–13-0.014%5 Jun →
mirage13–10-0.0514%5 Jun →
dust213–5-0.008%4 Jun →
mirage13–9-0.0115%4 Jun →
mirage13–30.058%4 Jun →
anubis13–3-0.042%4 Jun →
nuke5–13-0.075%3 Jun →
inferno9–13-0.0611%2 Jun →
anubis13–11-0.0217%1 Jun →
nuke12–12-0.0212%21 May →
inferno12–12-0.0413%21 May →
inferno13–50.0314%21 May →
dust213–5-0.0123%20 May →
mirage13–9-0.049%20 May →
mirage6–13-0.0516%19 May →
mirage8–13-0.0415%19 May →
nuke13–6-0.0317%19 May →
ancient11–13-0.076%17 May →
mirage9–13-0.067%16 May →
nuke13–30.0612%16 May →
anubis12–12-0.0712%16 May →
nuke13–5-0.024%16 May →
nuke12–12-0.0611%15 May →
inferno8–13-0.083%15 May →
dust213–5-0.0313%15 May →
inferno6–13-0.057%25 Mar →
mirage5–13-0.042%22 Mar →
mirage12–50.0613%22 Mar →
nuke13–11-0.0416%20 Mar →
mirage9–13-0.0213%20 Mar →
office9–13-0.058%18 Mar →
anubis7–13-0.0515%6 Feb →
overpass16–14-0.0814%3 Feb →
nuke6–13-0.054%27 Jan →
mirage4–13-0.0310%27 Jan →
overpass13–10-0.007%13 Jan →
mirage11–13-0.0510%19 Dec →
inferno13–8-0.039%19 Dec →
inferno13–9-0.0812%17 Dec →
ancient13–10-0.067%15 Dec →
inferno13–30.0711%14 Dec →
nuke13–6-0.0213%7 Dec →
nuke13–3-0.020%7 Dec →
inferno2–9-0.2020%7 Dec →
inferno9–30.2112%6 Dec →
nuke1–13-0.076%4 Dec →
train13–9-0.0114%30 Nov →
overpass13–90.0813%28 Nov →
overpass2–13-0.085%27 Nov →
inferno5–8-0.060%27 Nov →
inferno8–5-0.0614%27 Nov →
nuke13–10-0.029%27 Nov →

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 →

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