独孤求败

独孤求败 — CS2 Stats

76561199181591620[U:1:1221325892]Steam profile ↗✓ No bans

173Tracked matches62%Win rate2022Tracked since
218Hours in CS
CSDB Rating6.9 SolidAggressive Rifler
Ladder ranks via Leetify

Rating over time

1Days observed since 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim75
Positioning66
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY59392Last 10059%Win rateLLLWWLWWWL

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

Player DNA

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

Aim7.5
Aggression9.1
Utility4.6
Positioning6.6
Opening Duels5.3

Strong CT-side opener

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

donk

Plays most like donk 90% 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

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 62% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 598ms 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

Aim7.5
Positioning6.6
Utility4.6
Mechanics8.2
Opening Duels5.3
Win Impact9.0

Composite 6.9/10 (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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time597ms+17ms
first ⅓ avg 581ms → last ⅓ avg 597ms
Headshot accuracy21.8%+1.2%
first ⅓ avg 20.6% → last ⅓ avg 21.8%

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

0.18Best rating — dust2 13–2
130Biggest win — dust2
10Longest win streak
L3Current streak
1114In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 83% over 6mirageWeakest map · 50% over 24
MapGradePlayedRecordWin rateAvg rating
dust2A35201557%0.03
mirageB24121250%0.02
infernoS1410471%0.01
anubisA106460%0.03
ancientS65183%0.01
trainS54180%0.04
overpass31233%-0.01
nuke31233%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (50% over 24). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,013Lifetime kills
1.48K/D · Top 10% of tracked players
632Matches
49.1%Match win rate · Top 50% of tracked players
60.9%Headshot % · Top 10% of tracked players
6.1%Shot accuracy
1,480MVPs
218Hours (in match)
477Bombs planted
87Bombs defused

Most-used weapons

Lifetime map wins

1,798dust2
1,095inferno
204nuke
111vertigo
71train
17cbble
4ar_shoots
4lake

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

Skill profile

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

22.0%Headshot accuracy
32.6%Accuracy (enemy spotted)
34.8%Spray accuracy
87.0%Counter-strafing
9.4°Preaim
598msReaction time
40.3%T opening success
61.9%CT opening success
0.59Enemies flashed / flash
12.8%Flash assists
6.34HE damage / grenade
6.12Flashes / match

Recent matches

MapScoreRatingHS%Date
inferno11–130.0220%8 Aug
mirage9–130.0230%5 Jul
inferno12–16-0.0321%4 Jul
dust213–60.0816%4 Jul
dust216–120.0222%2 Jul
overpass11–13-0.0520%2 Jul
dust213–30.0527%2 Jul
inferno13–90.1124%1 Jul
ancient13–10-0.0021%1 Jul
nuke4–13-0.0630%4 Jun
ancient13–20.0535%4 Jun
dust210–13-0.0231%4 Jun
mirage13–100.0225%3 Jun
dust215–150.0326%1 Jun
mirage11–13-0.0612%1 Jun
dust213–70.0118%22 May
dust216–120.0317%22 May
dust213–11-0.0116%29 Mar
anubis5–13-0.0725%22 Mar
overpass13–50.0720%16 Mar
inferno13–60.0018%16 Mar
dust210–13-0.0230%13 Mar
mirage13–4-0.0121%13 Mar
dust23–13-0.0314%13 Mar
mirage7–130.0015%12 Mar
anubis13–50.0827%12 Mar
inferno13–30.0228%16 Feb
anubis13–11-0.0214%16 Feb
dust213–11-0.0315%16 Feb
mirage16–140.0627%14 Feb
dust211–130.0118%11 Feb
mirage11–13-0.0525%11 Feb
inferno16–14-0.0910%21 Dec
ancient13–5-0.0329%21 Dec
mirage13–70.0727%21 Dec
overpass5–13-0.0519%20 Dec
nuke13–90.0021%20 Dec
train11–13-0.0214%20 Dec
dust24–130.0020%23 Nov
mirage10–13-0.0720%18 Nov
dust211–13-0.0222%7 Nov
train13–80.0519%7 Nov
train13–5-0.0017%20 Sept
dust216–140.0519%10 Sept
dust213–100.0316%10 Sept
mirage13–6-0.0221%3 Sept
inferno16–130.0132%3 Sept
inferno13–90.0117%8 Jul
mirage13–80.0721%8 Jul
dust213–00.0726%5 Jul
ancient13–50.0724%5 Jul
mirage11–13-0.0122%2 Jul
anubis10–130.029%2 Jul
mirage15–15-0.0016%1 Jul
dust29–130.0321%30 Jun
mirage3–130.0320%30 Jun
dust213–30.1028%26 Jun
inferno13–70.0323%24 Jun
dust213–10.0429%24 Jun
anubis13–70.1025%23 Jun
mirage13–00.1527%23 Jun
dust211–130.0827%22 Jun
mirage3–13-0.0016%21 Jun
inferno13–60.1222%21 Jun
dust213–30.0327%21 Jun
mirage13–30.0719%21 Jun
inferno9–130.0317%21 Jun
dust213–60.1528%21 Jun
anubis11–130.0521%21 Jun
dust213–50.0514%19 Jun
mirage6–130.0214%19 Jun
ancient5–13-0.0325%16 Jun
mirage13–110.0925%16 Jun
dust213–110.0624%28 May
dust213–110.0421%28 May
dust26–13-0.0130%27 May
inferno13–70.0212%21 May
anubis13–90.0621%21 May
dust29–13-0.0315%21 May
mirage11–13-0.0120%20 May
dust210–130.0825%19 May
dust211–13-0.0416%18 May
dust24–13-0.0721%13 May
dust26–10-0.0411%11 May
dust213–9-0.0121%3 May
mirage13–90.0611%3 May
mirage13–50.1121%2 May
inferno13–80.0023%2 May
train13–40.1330%2 May
anubis13–110.0118%2 May
anubis11–130.0320%2 May
train13–50.0429%2 May
dust213–40.0727%2 May
dust213–20.1827%2 May
mirage13–9-0.0214%1 May
anubis13–20.0225%1 May
inferno3–13-0.0910%1 May
mirage11–13-0.0221%1 May
ancient13–110.0127%1 May
nuke6–13-0.0616%30 Apr

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 →