BerbalAboose — CS2 Stats

76561198264262671[U:1:303996943]

663Tracked matches50%Win rate2020Tracked since
CSDB Rating4.5 Developing
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGBerbalAbooseFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim50
Positioning37
Utility35

0–100 skill scores via Leetify.

Recent form

HOT47503Last 10047%Win rateLWLWLWWWWW

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

Player DNA

Aim5.0
Aggression4.6
Utility3.5
Positioning3.7
Opening Duels1.1
Clutch2.6

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 79% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

Strengths

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 44% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 658ms 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

Aim5.0
Positioning3.7
Utility3.5
Mechanics7.2
Opening Duels1.8
Win Impact5.0

Composite 4.5/10 (Developing), 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-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time669ms+16ms
first ⅓ avg 652ms → last ⅓ avg 669ms
Headshot accuracy18.4%+1.5%
first ⅓ avg 16.9% → last ⅓ avg 18.4%

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.

Highlights

0.25Best rating — overpass 13–5
130Biggest win — overpass
6Longest win streak
47In matches decided by ≤2 rounds
5Overtime games

Map breakdown

trainBest map · 67% over 6dust2Weakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
nukeA169756%-0.01
mirageB137654%-0.01
dust2D134931%-0.02
infernoB126650%0.01
overpassC125742%0.02
ancientC104640%-0.02
vertigoD62433%-0.09
trainS64267%0.10
anubis41325%-0.01
office21150%0.02
brewery220100%0.13
agency21150%0.02
grail1010%-0.04
dogtown110100%0.17

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

155Matches
51%Win rate
0.93Avg K/D
68.9ADR
40%Headshot %

Clutches & streaks

33%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3259%0.9514.0
Anubis2438%0.8212.6
Ancient2450%0.9814.2
Dust21844%0.9211.9
Nuke1362%1.0013.6
Inferno922%1.0612.8
Train1100%0.578.0

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.

17.3%Headshot accuracy
30.8%Accuracy (enemy spotted)
33.7%Spray accuracy
82.6%Counter-strafing
11.4°Preaim
658msReaction time
24.5%T opening success
44.4%CT opening success
0.75Enemies flashed / flash
5.8%Flash assists
7.65HE damage / grenade
6.48Flashes / 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

    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 24.4948% — below the 40% mark we flag

Spend your practice time on Dust 2

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.020%11 Aug
inferno13–40.0426%31 Jul
nuke3–9-0.108%31 Jul
ancient13–110.0130%26 Jul
dust29–13-0.0513%26 Jul
mirage4–0-0.00100%26 Jul
dust213–7-0.0123%26 Jul
inferno13–60.0428%5 May
nuke13–9-0.0518%5 Dec
mirage12–10.0123%5 Dec
ancient5–13-0.0021%20 Sept
office8–130.0423%2 Sept
nuke13–70.0717%2 Sept
mirage7–13-0.0710%2 Sept
mirage6–13-0.0316%1 Sept
overpass9–7-0.049%1 Sept
brewery9–60.0812%31 Aug
nuke1–9-0.2811%31 Aug
vertigo9–60.0222%31 Aug
inferno13–6-0.040%31 Aug
mirage13–20.0420%31 Aug
dust26–13-0.0611%30 Aug
inferno10–130.0519%30 Aug
nuke9–4-0.018%30 Aug
overpass11–13-0.0024%30 Aug
nuke13–100.0125%30 Aug
grail9–13-0.048%30 Aug
dust213–110.0015%27 Aug
nuke13–9-0.0213%27 Aug
vertigo3–9-0.0912%27 Aug
mirage13–50.0723%27 Aug
overpass13–100.0314%27 Aug
overpass13–16-0.058%26 Aug
vertigo0–9-0.1816%26 Aug
dust27–13-0.008%25 Aug
inferno8–8-0.0236%25 Aug
brewery9–20.1813%25 Aug
dogtown9–20.175%25 Aug
ancient6–13-0.0315%25 Aug
train5–13-0.0126%25 Aug
dust211–13-0.0610%24 Aug
anubis8–13-0.0118%24 Aug
dust23–13-0.0632%22 Aug
mirage13–70.0029%22 Aug
nuke8–80.0814%22 Aug
anubis2–13-0.0618%21 Aug
anubis12–120.0310%21 Aug
inferno4–9-0.0910%21 Aug
dust213–100.0325%20 Aug
ancient13–110.0118%20 Aug
nuke9–60.0321%20 Aug
vertigo9–40.0118%19 Aug
ancient3–13-0.0121%19 Aug
ancient13–5-0.0114%19 Aug
ancient13–9-0.0117%18 Aug
overpass13–9-0.0111%18 Aug
ancient3–8-0.048%18 Aug
dust210–13-0.0312%18 Aug
overpass7–13-0.0022%18 Aug
dust26–130.0026%18 Aug
dust211–13-0.0215%17 Aug
nuke13–8-0.027%17 Aug
nuke5–130.070%17 Aug
nuke8–130.0416%15 Aug
dust213–10-0.053%15 Aug
dust211–130.0828%14 Aug
ancient9–13-0.0518%14 Aug
inferno13–4-0.0318%13 Aug
mirage10–13-0.039%13 Aug
agency9–130.0113%12 Aug
agency13–40.0421%12 Aug
mirage8–13-0.068%12 Aug
inferno13–10-0.0114%11 Aug
mirage8–130.004%11 Aug
overpass6–130.0214%11 Aug
overpass8–13-0.0020%10 Aug
overpass1–13-0.048%10 Aug
inferno7–13-0.058%7 Aug
nuke13–8-0.028%4 Aug
vertigo4–9-0.1222%3 Aug
vertigo4–9-0.1514%3 Aug
nuke14–16-0.0213%3 Aug
overpass8–130.0811%2 Aug
inferno14–16-0.0319%2 Aug
ancient14–16-0.1013%1 Aug
nuke16–13-0.0112%1 Aug
inferno4–130.0417%30 Jul
mirage13–8-0.0011%30 Jul
anubis5–00.0030%27 Jul
mirage13–20.0119%27 Jul
nuke6–13-0.0318%26 Jul
train13–90.1421%24 Jul
train13–10.1613%24 Jul
train5–130.0429%24 Jul
train13–60.1630%24 Jul
train13–70.1022%23 Jul
inferno9–20.1848%23 Jul
office13–5-0.009%19 Jul
overpass13–00.0226%19 Jul
overpass13–50.2516%19 Jul

Match data via Leetify.

Recent teammates

Milestones

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