-flawless — CS2 Stats

76561198201306606[U:1:241040878]✓ No bans

1,912Tracked matches59%Win rate2020Tracked since

6,656Hours in CS11Hrs last 2 wks

CSDB Rating7.0 StrongAggressive Rifler

WingmanSupreme Master First Class

Ladder ranks via Leetify

Performance scores

Aim88

Positioning61

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY61–34–5Last 10061%Win rateWWWWLLLTLW

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.8

Aggression8.4

Utility5.9

Positioning6.1

Opening Duels4.7

Clutch4.2

Sharp aimerStrong 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

Plays most like donk 93% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

CT openings. 66% 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 66% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.8

Positioning6.1

Utility5.9

Mechanics6.4

Opening Duels4.7

Win Impact8.1

Composite 7.0/10 (Strong), 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 time548ms−56ms

first ⅓ avg 604ms → last ⅓ avg 548ms

Headshot accuracy32.4%+2.4%

first ⅓ avg 29.9% → last ⅓ avg 32.4%

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

0.20Best rating — dust2 13–3

13–0Biggest win — ancient

7Longest win streak

W4Current streak

11–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

mirageBest map · 72% over 18overpassWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	26	18–8	69%	0.03
inferno	A	20	12–8	60%	0.00
mirage	S	18	13–5	72%	0.01
ancient	A	16	9–7	56%	0.02
cache	A	8	5–3	63%	0.00
overpass	C	5	2–3	40%	0.01
anubis	—	4	1–3	25%	0.01
nuke	—	1	1–0	100%	0.02
shelter	—	1	0–1	0%	0.16
train	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

215,390Lifetime kills

1.15K/D · Top 50% of tracked players

7,191Matches

48.7%Match win rate · Top 50% of tracked players

56.3%Headshot % · Top 25% of tracked players

16.5%Shot accuracy · Top 25% of tracked players

29,657MVPs

3,956Hours (in match)

11,127Bombs planted

5,811Bombs defused

Most-used weapons

AK-4780,491

M4A4 / M4A1-S39,137

AWP32,251

P2000 / USP-S17,008

Desert Eagle11,461

Glock-188,304

SSG 082,673

Galil AR2,536

P2502,501

MP92,424

Lifetime map wins

17,378inferno

13,428dust2

5,334train

3,146vertigo

2,952nuke

2,900cbble

140lake

118bank

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

Faceit stats

Combat

564Matches

60%Win rate

1.33Avg K/D

77.3ADR

56%Headshot %

Clutches & streaks

41%1v1 clutch win

20%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	38	58%	1.15	14.8
Dust2	34	62%	1.27	17.2
Ancient	19	47%	1.46	17.2
Inferno	18	56%	1.15	16.5
Anubis	15	67%	1.26	16.9
Train	6	50%	1.35	15.7
Overpass	6	33%	1.04	13.2
Cache	5	60%	1.32	16.2

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.

32.6%Headshot accuracy

34.6%Accuracy (enemy spotted)

35.7%Spray accuracy

79.0%Counter-strafing

8.8°Preaim

543msReaction time

31.9%T opening success

65.5%CT opening success

0.61Enemies flashed / flash

11.7%Flash assists

5.47HE damage / grenade

18.79Flashes / 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.

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 31.8953% — below the 40% mark we flag

Spend your practice time on Overpass

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–10	-0.04	20%	27 Aug →
ancient	13–9	0.04	28%	22 Aug →
nuke	13–8	0.02	45%	22 Aug →
mirage	13–10	0.04	32%	22 Aug →
inferno	8–13	0.02	32%	20 Aug →
ancient	10–13	-0.03	27%	20 Aug →
ancient	2–13	-0.06	27%	18 Aug →
cache	15–15	-0.06	59%	15 Aug →
mirage	9–13	0.07	31%	15 Aug →
inferno	13–11	0.15	39%	15 Aug →
dust2	13–5	0.17	50%	15 Aug →
mirage	13–5	0.04	20%	15 Aug →
dust2	13–7	0.02	27%	13 Aug →
dust2	13–9	-0.00	30%	11 Aug →
anubis	7–13	-0.01	10%	9 Aug →
dust2	15–15	0.01	21%	8 Aug →
inferno	13–11	-0.05	32%	6 Aug →
mirage	16–14	-0.05	25%	4 Aug →
inferno	7–13	-0.02	41%	31 Jul →
dust2	11–13	-0.03	40%	30 Jul →
dust2	5–13	-0.05	27%	23 Jul →
mirage	13–9	0.00	37%	21 Jul →
ancient	9–13	-0.07	19%	18 Jul →
dust2	9–13	0.00	42%	18 Jul →
inferno	16–13	-0.00	31%	18 Jul →
mirage	13–9	0.00	29%	18 Jul →
ancient	6–13	0.03	20%	18 Jul →
inferno	13–11	-0.01	57%	18 Jul →
dust2	15–15	0.03	39%	18 Jul →
ancient	13–7	0.06	27%	16 Jul →
inferno	13–9	-0.04	24%	14 Jul →
ancient	13–6	0.07	33%	13 Jul →
dust2	13–5	0.08	47%	11 Jul →
inferno	10–13	-0.04	20%	11 Jul →
dust2	12–12	0.06	35%	11 Jul →
shelter	7–13	0.16	51%	11 Jul →
mirage	13–11	0.01	34%	11 Jul →
cache	4–13	-0.00	29%	8 Jul →
dust2	13–9	0.02	36%	8 Jul →
dust2	13–6	-0.01	33%	6 Jul →
mirage	13–5	0.02	24%	6 Jul →
mirage	13–4	0.05	40%	5 Jul →
dust2	15–15	0.01	29%	3 Jul →
mirage	13–5	0.07	30%	3 Jul →
mirage	3–13	-0.00	21%	2 Jul →
inferno	13–5	0.01	27%	2 Jul →
anubis	6–13	-0.00	21%	1 Jul →
mirage	13–8	0.06	37%	1 Jul →
overpass	13–9	0.05	35%	28 Jun →
dust2	13–10	0.07	36%	28 Jun →
mirage	13–10	-0.00	26%	27 Jun →
cache	13–5	0.01	21%	27 Jun →
dust2	13–11	0.00	30%	27 Jun →
inferno	10–13	0.02	18%	27 Jun →
anubis	16–13	0.03	27%	27 Jun →
dust2	13–9	-0.06	15%	25 Jun →
ancient	0–4	-0.01	20%	25 Jun →
cache	9–13	-0.01	41%	24 Jun →
overpass	7–13	-0.03	35%	24 Jun →
dust2	13–3	-0.00	30%	20 Jun →
overpass	11–13	0.03	34%	18 Jun →
inferno	19–16	-0.01	22%	17 Jun →
ancient	13–9	-0.03	20%	17 Jun →
inferno	13–6	0.03	17%	17 Jun →
inferno	12–16	-0.07	30%	13 Jun →
overpass	9–13	-0.06	28%	13 Jun →
ancient	13–11	0.07	21%	13 Jun →
dust2	13–11	0.06	23%	13 Jun →
ancient	13–0	0.15	38%	13 Jun →
cache	13–6	0.09	21%	13 Jun →
mirage	13–3	0.00	53%	13 Jun →
dust2	13–10	-0.04	19%	10 Jun →
inferno	12–0	0.11	30%	10 Jun →
ancient	11–13	-0.00	31%	10 Jun →
dust2	13–4	0.13	28%	10 Jun →
inferno	11–13	-0.04	24%	6 Jun →
mirage	11–13	-0.01	38%	6 Jun →
dust2	13–8	-0.07	16%	6 Jun →
ancient	13–6	0.06	36%	6 Jun →
ancient	13–4	0.11	42%	3 Jun →
inferno	13–10	-0.02	28%	3 Jun →
overpass	13–5	0.05	41%	3 Jun →
mirage	9–13	-0.03	34%	30 May →
cache	13–11	-0.06	53%	30 May →
inferno	10–13	-0.03	21%	30 May →
ancient	13–11	0.02	22%	30 May →
dust2	13–3	0.11	26%	30 May →
dust2	13–11	0.11	20%	26 May →
ancient	9–13	-0.03	22%	26 May →
inferno	11–13	-0.02	30%	25 May →
inferno	13–3	0.06	27%	17 May →
dust2	13–7	0.06	30%	16 May →
inferno	13–8	-0.02	33%	16 May →
cache	13–9	0.02	29%	16 May →
dust2	4–13	-0.12	32%	16 May →
anubis	6–13	0.02	33%	16 May →
dust2	13–3	0.20	31%	16 May →
cache	13–8	0.02	24%	16 May →
mirage	10–13	0.02	24%	15 May →
train	4–13	-0.01	26%	15 May →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

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

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