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Boss ♿

Boss ♿ — CS2 Stats

76561198101091815[U:1:140826087]Steam profile ↗

437Tracked matches53%Win rate2021Tracked since
1,102Hours in CS4Hrs last 2 wks
CSDB Rating3.5 Learning
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGBoss ♿FACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim28
Positioning27
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateLLLWWWLLWW

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

Player DNA

Aim2.8
Aggression1.7
Utility5.6
Positioning2.7
Opening Duels0.0
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.

Your pro match

NiKo

Plays most like NiKo 69% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 646ms 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

Aim2.8
Positioning2.7
Utility5.6
Mechanics4.8
Opening Duels0.0
Win Impact6.1

Composite 3.5/10 (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-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time665ms−3ms
first ⅓ avg 668ms → last ⅓ avg 665ms
Headshot accuracy12.3%−1.5%
first ⅓ avg 13.9% → last ⅓ avg 12.3%

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

0.09Best rating — vertigo 13–3
13–0Biggest win — inferno
4Longest win streak
L3Current streak
6–4In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 80% over 5trainWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
infernoB2010–1050%-0.04
dust2C198–1142%-0.03
anubisC125–742%-0.06
ancientB105–550%-0.04
vertigoD103–730%-0.03
trainD102–820%-0.04
nukeS54–180%-0.02
overpass—31–233%-0.06
cache—21–150%-0.04
agency—20–20%-0.06
basalt—21–150%0.01
palacio—10–10%-0.11
golden—11–0100%-0.12
edin—11–0100%-0.01
office—10–10%-0.08
mirage—11–0100%0.02

Across the last 100 tracked matches.

Lifetime stats

24,596Lifetime kills
0.80K/D
1,527Matches
39.4%Match win rate
40.5%Headshot %
13.6%Shot accuracy · Top 50% of tracked players
2,465MVPs
790Hours (in match)
1,849Bombs planted
170Bombs defused

Most-used weapons

M4A4 / M4A1-S6,010
AK-475,894
AWP2,861
P2000 / USP-S1,949
Desert Eagle1,386
Glock-181,091
SSG 08874
UMP-45713
Galil AR541
FAMAS504

Lifetime map wins

2,592dust2
1,790vertigo
1,607inferno
774nuke
584train
203cbble
121office
43lake

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

Faceit stats

Combat

335Matches
48%Win rate
0.71Avg K/D
59.1ADR
36%Headshot %

Clutches & streaks

0%1v1 clutch win
33%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno1771%0.6710.3
Dust21553%0.7212.5
Vertigo1060%0.719.9
Ancient978%0.6410.4
Nuke850%0.467.9
Anubis650%0.8910.3
Mirage617%0.589.2

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.

13.0%Headshot accuracy
25.9%Accuracy (enemy spotted)
27.0%Spray accuracy
71.6%Counter-strafing
10.5°Preaim
646msReaction time
17.3%T opening success
29.7%CT opening success
0.68Enemies flashed / flash
4.2%Flash assists
10.73HE damage / grenade
6.30Flashes / 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 13.0072% — below the 15% mark we flag

    Aim Training →
  2. 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 17.2686% — below the 40% mark we flag

Spend your practice time on Train

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0210%21 Aug →
anubis1–9-0.150%16 Aug →
cache5–13-0.0311%8 Aug →
ancient13–11-0.0311%8 Aug →
anubis13–8-0.0216%8 Aug →
vertigo13–30.0918%8 Aug →
dust29–13-0.0215%8 Aug →
nuke6–130.0217%8 Aug →
anubis13–2-0.050%10 Jul →
dust213–4-0.0613%10 Jul →
cache13–5-0.0511%10 Jul →
ancient13–11-0.059%4 Jul →
dust25–13-0.0312%27 Jun →
inferno13–60.0222%27 Jun →
dust21–6-0.010%26 Jun →
ancient13–5-0.0118%26 Jun →
anubis5–13-0.084%26 Jun →
dust22–13-0.0018%8 Mar →
nuke13–7-0.0511%1 Mar →
dust213–8-0.0518%1 Mar →
ancient6–13-0.0118%22 Feb →
inferno13–8-0.028%22 Feb →
anubis13–3-0.0514%21 Feb →
inferno13–6-0.0618%21 Feb →
train8–13-0.0218%7 Feb →
vertigo3–13-0.0513%5 Oct →
palacio7–13-0.119%3 Oct →
golden2–3-0.120%3 Oct →
inferno13–8-0.0413%1 Aug →
dust22–13-0.1018%26 Jul →
overpass13–11-0.0413%26 Jul →
dust24–13-0.0722%26 Jul →
nuke13–10-0.039%26 Jul →
ancient3–13-0.100%26 Jul →
ancient9–13-0.0311%26 Jul →
nuke13–10-0.0211%26 Jul →
inferno5–13-0.1411%23 Jul →
nuke13–7-0.047%21 Jul →
inferno3–13-0.048%20 Jul →
inferno4–13-0.048%19 Jul →
inferno13–9-0.0311%19 Jul →
dust213–8-0.053%19 Jul →
train5–13-0.039%19 Jul →
dust213–100.0615%18 Jul →
dust213–5-0.058%18 Jul →
inferno13–5-0.0713%18 Jul →
inferno13–0-0.030%18 Jul →
train3–13-0.076%18 Jul →
inferno10–13-0.0612%17 Jul →
overpass9–13-0.0611%17 Jul →
inferno13–50.0115%16 Jul →
vertigo12–12-0.025%14 Jul →
overpass8–13-0.096%13 Jul →
anubis10–13-0.044%1 Jul →
anubis10–13-0.0813%1 Jul →
train8–13-0.0526%30 Jun →
anubis5–13-0.1310%30 Jun →
ancient11–13-0.054%28 Jun →
dust210–130.0014%28 Jun →
anubis4–13-0.0121%26 Jun →
anubis13–110.017%26 Jun →
inferno12–12-0.044%23 Jun →
dust213–100.0117%19 Jun →
inferno2–13-0.0116%18 Jun →
agency12–12-0.0314%15 Jun →
agency1–13-0.0915%15 Jun →
dust211–13-0.0123%6 Apr →
train11–13-0.0410%14 Mar →
train6–13-0.0314%8 Mar →
train4–13-0.0819%8 Feb →
dust213–9-0.0419%24 Jan →
dust213–4-0.0414%24 Jan →
vertigo5–13-0.0111%5 Jan →
dust27–13-0.0616%4 Jan →
inferno13–16-0.0615%25 Dec →
inferno6–13-0.080%22 Dec →
train13–40.0213%21 Dec →
vertigo5–13-0.0622%21 Dec →
inferno13–80.0522%20 Dec →
dust26–13-0.0810%20 Dec →
ancient10–13-0.0511%17 Dec →
edin13–5-0.015%17 Nov →
dust27–13-0.0616%17 Nov →
basalt9–13-0.006%15 Nov →
train13–0-0.0515%15 Nov →
train2–13-0.0611%15 Nov →
basalt13–80.0310%14 Nov →
ancient13–11-0.1215%9 Nov →
anubis13–16-0.0911%24 Oct →
vertigo13–10-0.0116%5 Oct →
anubis13–20.0110%5 Oct →
inferno10–13-0.0423%3 Oct →
vertigo2–13-0.0316%28 Sept →
vertigo8–13-0.065%8 Aug →
inferno13–10-0.0516%2 Aug →
vertigo11–13-0.0611%2 Jun →
office7–13-0.0829%31 May →
ancient13–80.027%31 May →
vertigo13–8-0.0416%25 May →
mirage13–60.0224%25 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 →

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