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Bogg

Bogg — CS2 Stats

76561198153650110[U:1:193384382]Steam profile ↗✓ No bans

361Tracked matches21%Win rate2021Tracked since
CSDB Rating2.4 Learning
Ladder ranks via Leetify

Performance scores

Aim22
Positioning26
Utility6

0–100 skill scores via Leetify.

Recent form

COLD28–61–11Last 10028%Win rateWLTLLLTLWW

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Aim2.2
Aggression0.2
Utility0.6
Positioning2.6
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 51% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 31% on CT to 10% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 837ms 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

Aim2.2
Positioning2.6
Utility0.6
Mechanics7.2
Opening Duels0.2
Win Impact0.0

Composite 2.4/10 (Learning), 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-0.06−0.01
first ⅓ avg -0.05 → last ⅓ avg -0.06
Reaction time840ms+69ms
first ⅓ avg 771ms → last ⅓ avg 840ms
Headshot accuracy11.7%+2.1%
first ⅓ avg 9.6% → last ⅓ avg 11.7%

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.

Highlights

0.04Best rating — cache 4–13
13–2Biggest win — mirage
3Longest win streak
8–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

trainBest map · 43% over 7officeWeakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
nukeD155–1033%-0.06
cacheD112–918%-0.05
officeD111–109%-0.07
infernoC104–640%-0.06
vertigoD82–625%-0.05
mirageD81–713%-0.04
trainC73–443%-0.06
dust2D72–529%-0.07
overpassD62–433%-0.05
ancientD61–517%-0.08
anubis—31–233%-0.07
alpine—22–0100%-0.07
golden—20–20%-0.07
palacio—21–150%-0.06
shelter—10–10%-0.04
italy—11–0100%-0.00

Across the last 100 tracked matches.

Skill profile

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

11.3%Headshot accuracy
30.4%Accuracy (enemy spotted)
30.5%Spray accuracy
82.2%Counter-strafing
12.1°Preaim
837msReaction time
9.9%T opening success
31.3%CT opening success
0.16Enemies flashed / flash
0.0%Flash assists
2.20HE damage / grenade
0.85Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.1445° — above the 12° mark we flag

    Aim Training →
  2. 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 11.3446% — below the 15% mark we flag

    Aim Training →
  3. 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 836.9486ms — above the 700ms 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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass13–10-0.0311%29 Aug →
nuke9–13-0.090%29 Aug →
cache12–12-0.0710%27 Aug →
cache9–13-0.035%27 Aug →
vertigo6–13-0.0925%19 Aug →
cache10–13-0.0521%19 Aug →
train12–12-0.069%13 Aug →
vertigo10–13-0.0714%8 Aug →
vertigo13–11-0.0412%30 Jul →
dust213–6-0.0910%23 Jul →
nuke13–11-0.099%16 Jul →
mirage9–13-0.0316%16 Jul →
cache1–13-0.097%11 Jul →
mirage6–130.0117%11 Jul →
cache4–130.0413%11 Jul →
office2–13-0.100%10 Jul →
vertigo9–13-0.0613%10 Jul →
cache11–13-0.0411%10 Jul →
office9–13-0.117%9 Jul →
shelter4–13-0.0429%9 Jul →
office5–13-0.0625%8 Jul →
dust210–13-0.090%7 Jul →
cache13–6-0.0714%30 Jun →
ancient8–13-0.095%30 Jun →
cache4–13-0.080%28 Jun →
inferno13–7-0.008%28 Jun →
dust29–13-0.0420%24 Jun →
mirage14–16-0.084%11 Jun →
overpass2–13-0.0915%29 May →
mirage5–13-0.0821%29 May →
cache2–13-0.108%27 May →
cache8–13-0.0112%1 May →
cache13–11-0.0717%29 Apr →
office11–13-0.0714%18 Mar →
office10–13-0.099%18 Mar →
mirage7–13-0.0610%14 Mar →
ancient7–13-0.0843%14 Mar →
train12–120.000%27 Feb →
train13–5-0.0710%27 Feb →
dust215–15-0.0423%23 Feb →
mirage0–3-0.010%17 Feb →
office11–13-0.1127%16 Feb →
vertigo11–13-0.050%12 Feb →
dust212–12-0.048%1 Feb →
nuke3–70.0367%27 Jan →
dust212–12-0.097%26 Jan →
nuke13–6-0.0711%25 Jan →
alpine13–8-0.099%25 Jan →
office8–13-0.062%25 Jan →
inferno15–15-0.0819%24 Jan →
anubis9–13-0.0516%24 Jan →
inferno10–13-0.0413%22 Jan →
nuke11–13-0.083%22 Jan →
alpine13–9-0.068%22 Jan →
nuke4–13-0.0412%19 Jan →
train11–13-0.1114%17 Jan →
nuke5–13-0.089%17 Jan →
overpass13–8-0.0318%15 Jan →
inferno0–13-0.1314%15 Jan →
overpass9–13-0.0213%15 Jan →
inferno11–13-0.0712%12 Jan →
mirage10–13-0.0422%12 Jan →
nuke13–10-0.0711%12 Jan →
ancient8–13-0.0811%10 Jan →
anubis5–13-0.1016%10 Jan →
train16–14-0.077%8 Jan →
overpass4–13-0.1415%8 Jan →
office12–12-0.0614%30 Dec →
golden12–12-0.0516%30 Dec →
nuke4–13-0.037%30 Dec →
inferno6–13-0.0414%27 Dec →
ancient3–13-0.117%27 Dec →
office2–1-0.050%27 Dec →
office9–13-0.0421%21 Dec →
train13–10-0.0118%21 Dec →
dust213–8-0.1214%21 Dec →
italy13–11-0.009%21 Dec →
nuke6–13-0.0416%20 Dec →
vertigo10–13-0.048%20 Dec →
vertigo13–5-0.059%20 Dec →
palacio13–11-0.0611%16 Dec →
golden10–13-0.1010%16 Dec →
ancient13–9-0.046%16 Dec →
vertigo0–4-0.020%16 Dec →
office5–13-0.073%16 Dec →
anubis13–7-0.0518%15 Dec →
inferno7–13-0.070%15 Dec →
nuke12–16-0.0921%10 Dec →
train4–13-0.0810%10 Dec →
mirage13–20.000%30 Oct →
palacio12–12-0.067%10 Oct →
inferno13–7-0.035%9 Sept →
inferno13–6-0.0413%11 Aug →
nuke6–13-0.0733%22 Jul →
inferno13–9-0.0516%21 Jul →
overpass11–130.000%20 Jul →
ancient15–15-0.0711%20 Jul →
nuke16–140.000%1 Jul →
nuke13–7-0.050%30 Jun →
nuke13–16-0.082%27 Jun →

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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