Bappo

Bappo — CS2 Stats

US76561198311885246[U:1:351619518]Steam profile ↗✓ No bans

127Tracked matches55%Win rate2025Tracked since
CSDB Rating6.5 SolidAggressive Rifler
Ladder ranks via Leetify

Performance scores

Aim78
Positioning69
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY51481Last 10051%Win rateLWWLLWWLWW

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.8
Aggression8.5
Utility4.1
Positioning6.9
Opening Duels3.7

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

sh1ro

Plays most like sh1ro 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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. 604ms 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

Aim7.8
Positioning6.9
Utility4.1
Mechanics7.8
Opening Duels3.7
Win Impact6.7

Composite 6.5/10 (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 rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time600ms+26ms
first ⅓ avg 574ms → last ⅓ avg 600ms
Headshot accuracy23.8%+4.1%
first ⅓ avg 19.6% → last ⅓ avg 23.8%

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.

Highlights

0.14Best rating — mirage 13–2
132Biggest win — mirage
10Longest win streak
97In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 86% over 7anubisWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC28121643%0.00
dust2B168850%0.00
cacheA1610663%0.03
infernoS97278%0.00
anubisD81713%-0.01
ancientS76186%-0.01
overpassD62433%0.00
trainA53260%-0.01
nuke31233%0.01
vertigo21150%0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Anubis 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.

23.7%Headshot accuracy
34.9%Accuracy (enemy spotted)
35.8%Spray accuracy
85.3%Counter-strafing
9.9°Preaim
604msReaction time
40.5%T opening success
48.8%CT opening success
0.45Enemies flashed / flash
7.6%Flash assists
9.03HE damage / grenade
6.79Flashes / 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. 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 0.446 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Anubis

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.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage7–130.0214%23 Aug
ancient13–80.0333%23 Aug
dust213–8-0.0313%23 Aug
cache7–130.0131%23 Aug
cache11–13-0.0427%2 May
cache13–30.0714%2 May
cache13–50.0925%2 May
cache7–130.0631%2 May
cache13–40.0141%30 Apr
cache13–90.0912%30 Apr
cache10–130.0119%30 Apr
cache6–13-0.0017%30 Apr
cache13–30.0231%30 Apr
cache12–120.0129%30 Apr
cache13–90.0337%30 Apr
cache13–110.0122%29 Apr
cache13–110.0230%29 Apr
cache13–80.0736%29 Apr
cache13–100.0338%29 Apr
mirage8–13-0.0516%26 Apr
anubis6–130.0115%25 Apr
dust211–130.0221%23 Apr
mirage10–13-0.0228%23 Apr
ancient13–8-0.0224%23 Apr
inferno13–4-0.0212%23 Apr
mirage13–8-0.0227%22 Apr
anubis7–13-0.0517%22 Apr
dust216–140.0612%22 Apr
mirage6–13-0.0020%22 Apr
mirage3–13-0.0423%21 Apr
mirage0–4-0.1533%21 Apr
anubis9–13-0.0624%21 Apr
overpass3–13-0.0615%21 Apr
dust213–30.1024%18 Apr
anubis8–130.0412%18 Apr
dust210–130.0425%18 Apr
nuke1–130.0218%18 Apr
nuke16–130.0319%18 Apr
inferno9–13-0.0217%18 Apr
overpass10–13-0.0316%18 Apr
dust211–130.0223%18 Apr
mirage11–130.0223%18 Apr
mirage13–90.0526%18 Apr
ancient16–130.0013%17 Apr
overpass5–130.0320%17 Apr
mirage13–20.1428%17 Apr
dust213–10-0.0017%17 Apr
dust29–13-0.0026%16 Apr
mirage10–13-0.0125%16 Apr
mirage6–130.0125%16 Apr
mirage13–50.059%16 Apr
inferno10–130.0729%15 Apr
dust26–13-0.0027%15 Apr
anubis5–130.0311%15 Apr
mirage5–13-0.0414%14 Apr
anubis6–13-0.0213%14 Apr
mirage7–130.0313%14 Apr
anubis8–13-0.0310%14 Apr
ancient4–9-0.1113%7 Apr
mirage7–130.0732%7 Apr
dust213–11-0.048%7 Apr
dust25–13-0.0116%6 Apr
mirage13–40.0718%6 Apr
anubis13–110.0312%6 Apr
dust23–13-0.0219%24 Mar
mirage5–13-0.0414%24 Mar
mirage13–110.0211%8 Mar
mirage13–80.0216%8 Mar
inferno13–11-0.0423%8 Mar
dust213–60.0621%21 Feb
mirage13–90.0811%21 Feb
inferno13–40.0313%21 Feb
nuke5–13-0.0221%20 Dec
ancient13–70.0228%20 Dec
dust23–8-0.0313%20 Dec
mirage8–13-0.038%22 Nov
mirage8–13-0.0316%22 Nov
vertigo9–130.0924%23 Oct
vertigo13–110.0935%23 Oct
train11–13-0.0528%23 Oct
inferno16–130.0321%22 Oct
train13–90.0028%11 Oct
overpass13–80.0410%9 Oct
train13–9-0.0310%9 Oct
mirage8–4-0.1036%9 Oct
dust213–3-0.0223%9 Oct
ancient13–50.0032%9 Oct
ancient13–70.0317%7 Oct
mirage13–50.0527%7 Oct
inferno13–7-0.0311%27 Sept
train9–13-0.0125%27 Sept
overpass13–60.0517%24 Sept
mirage13–5-0.0514%24 Sept
inferno13–11-0.0233%20 Sept
mirage13–100.0721%20 Sept
train13–90.0312%20 Sept
inferno13–50.0216%20 Sept
overpass11–13-0.0017%19 Sept
mirage11–13-0.0315%19 Sept
dust213–4-0.107%19 Sept

Match data via Leetify.

Recent teammates

Milestones

100 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →