BAD-FLY ⌛ — CS2 Stats

76561198168482686[U:1:208216958]✓ No bans

2,849Tracked matches67%Win rate2020Tracked since

8,721Hours in CS49Hrs last 2 wks

CSDB Rating6.6 SolidPassive Rifler

Premier CS Rating25,391Top 25% of 819 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)

CSDB Leaderboard#1994 of 14477 tracked

FaceitLevel 10 · 2,313 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	50.3%	52.8%
Shot accuracy	16.1%	13.7%
Kill/death ratio	1.07	1.08
Match win rate	64.4%	49.2%

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Performance scores

Aim76

Positioning47

Utility67

0–100 skill scores via Leetify.

Recent form

HOT56–43–1Last 10056%Win rateLWLWWWWWLW

Last 10 vs previous 10: +10pp win rate · -0.04 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim7.6

Aggression4.4

Utility6.7

Positioning4.7

Opening Duels2.1

Clutch3.8

Strong CT-side openerEffective flashes

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 NiKo 92% playstyle similarity

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

Where you differ: 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

T-side openings. Opening success drops from 55% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms 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

Aim7.6

Positioning4.7

Utility6.7

Mechanics5.2

Opening Duels3.1

Win Impact10.0

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time569ms−16ms

first ⅓ avg 585ms → last ⅓ avg 569ms

Headshot accuracy21.6%+0.1%

first ⅓ avg 21.6% → last ⅓ avg 21.6%

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

0.13Best rating — dust2 13–1

13–1Biggest win — dust2

5Longest win streak

6–3In matches decided by ≤2 rounds

11Overtime games

Map breakdown

ancientBest map · 79% over 14mirageWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	29	13–16	45%	-0.01
dust2	S	29	20–9	69%	0.01
ancient	S	14	11–3	79%	-0.01
cache	B	13	7–6	54%	0.00
anubis	A	9	5–4	56%	-0.01
mirage	D	5	0–5	0%	-0.02
overpass	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

303,955Lifetime kills

1.07K/D

20,841Matches

64.4%Match win rate · Top 5% of Level 10 players

50.3%Headshot %

16.1%Shot accuracy · Top 50% of Level 10 players

30,831MVPs

5,412Hours (in match)

12,491Bombs planted

2,530Bombs defused

Most-used weapons

AK-4798,495

M4A4 / M4A1-S67,198

AWP31,589

Desert Eagle22,388

P2000 / USP-S15,761

FAMAS11,103

Glock-189,691

Galil AR7,790

MP77,508

Knife4,273

Lifetime map wins

36,284inferno

23,723dust2

4,115nuke

3,614train

2,255vertigo

1,616cbble

130lake

118office

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

Faceit stats

Combat

4,528Matches

50%Win rate

1.06Avg K/D

75.8ADR

48%Headshot %

Clutches & streaks

39%1v1 clutch win

19%1v2 clutch win

14Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	273	62%	1.10	16.3
Ancient	205	43%	0.92	14.6
Dust2	195	55%	0.96	14.7
Anubis	171	51%	1.14	15.4
Mirage	84	39%	0.95	15.0
Overpass	77	45%	1.10	16.4
Nuke	61	43%	0.87	14.3
Train	51	43%	0.93	14.2

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.

22.1%Headshot accuracy

33.4%Accuracy (enemy spotted)

34.6%Spray accuracy

73.5%Counter-strafing

7.1°Preaim

567msReaction time

22.1%T opening success

54.8%CT opening success

0.75Enemies flashed / flash

6.1%Flash assists

14.67HE damage / grenade

6.99Flashes / 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 22.1017% — below the 40% mark we flag

Spend your practice time on Mirage

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	10–13	-0.02	33%	26 Aug →
anubis	13–5	-0.05	29%	26 Aug →
cache	10–13	-0.07	12%	26 Aug →
dust2	13–9	-0.02	18%	25 Aug →
ancient	19–17	-0.01	22%	25 Aug →
anubis	13–11	0.04	32%	25 Aug →
inferno	13–8	-0.01	24%	25 Aug →
ancient	13–7	0.02	17%	24 Aug →
inferno	10–13	-0.05	14%	20 Aug →
anubis	13–5	-0.07	12%	20 Aug →
cache	8–13	-0.02	20%	19 Aug →
inferno	3–13	0.00	19%	19 Aug →
inferno	8–2	-0.04	15%	19 Aug →
dust2	13–9	0.04	26%	18 Aug →
inferno	13–7	0.01	23%	18 Aug →
dust2	13–7	-0.00	33%	18 Aug →
mirage	1–5	0.08	25%	18 Aug →
cache	3–13	0.04	26%	18 Aug →
dust2	13–2	0.04	15%	18 Aug →
inferno	13–11	-0.01	20%	18 Aug →
ancient	13–4	0.02	22%	18 Aug →
dust2	13–10	0.05	43%	18 Aug →
dust2	13–9	-0.03	8%	18 Aug →
mirage	2–13	-0.03	31%	18 Aug →
cache	13–11	-0.03	19%	18 Aug →
dust2	13–10	-0.05	19%	18 Aug →
cache	12–16	-0.00	13%	18 Aug →
cache	9–13	0.01	19%	18 Aug →
inferno	13–5	-0.02	23%	18 Aug →
cache	13–10	0.04	33%	12 Aug →
cache	13–7	0.07	13%	12 Aug →
mirage	7–13	-0.04	15%	12 Aug →
inferno	13–2	0.02	22%	12 Aug →
ancient	13–16	-0.02	26%	12 Aug →
dust2	5–13	0.03	32%	12 Aug →
inferno	6–13	-0.02	14%	12 Aug →
dust2	10–13	0.02	19%	10 Aug →
inferno	8–13	-0.01	25%	10 Aug →
dust2	13–4	0.04	22%	10 Aug →
dust2	13–4	0.04	24%	10 Aug →
inferno	1–13	-0.06	37%	6 Aug →
mirage	11–13	-0.07	13%	6 Aug →
inferno	4–13	-0.03	24%	6 Aug →
ancient	13–11	-0.02	11%	5 Aug →
dust2	13–2	0.06	24%	5 Aug →
inferno	12–3	-0.00	14%	5 Aug →
ancient	13–8	-0.01	27%	30 Jul →
dust2	7–13	-0.04	41%	30 Jul →
cache	13–8	0.03	18%	30 Jul →
dust2	13–9	-0.03	18%	30 Jul →
ancient	10–13	-0.10	13%	30 Jul →
dust2	3–13	-0.11	27%	30 Jul →
inferno	13–7	0.02	30%	30 Jul →
ancient	13–8	0.02	19%	30 Jul →
dust2	13–5	-0.03	28%	29 Jul →
inferno	7–13	-0.01	28%	29 Jul →
cache	10–13	-0.00	19%	29 Jul →
dust2	13–3	0.10	28%	29 Jul →
anubis	7–13	-0.01	23%	28 Jul →
cache	13–7	0.02	17%	28 Jul →
inferno	10–13	0.03	26%	28 Jul →
ancient	13–7	-0.04	24%	28 Jul →
anubis	10–13	0.00	20%	28 Jul →
cache	16–12	-0.02	18%	28 Jul →
ancient	13–9	0.00	17%	24 Jul →
dust2	13–11	0.01	27%	24 Jul →
dust2	13–9	0.00	19%	24 Jul →
inferno	9–13	-0.03	21%	23 Jul →
inferno	13–3	0.01	27%	23 Jul →
ancient	13–6	-0.01	26%	22 Jul →
cache	16–12	-0.03	14%	21 Jul →
anubis	3–13	-0.07	20%	21 Jul →
dust2	13–1	0.13	29%	24 Jun →
dust2	10–13	0.04	27%	24 Jun →
inferno	13–4	0.01	20%	17 Jun →
anubis	13–5	0.05	24%	17 Jun →
inferno	5–13	0.03	28%	17 Jun →
dust2	13–6	-0.04	14%	17 Jun →
mirage	11–13	-0.01	21%	11 Jun →
ancient	16–12	0.06	26%	11 Jun →
dust2	11–13	-0.00	32%	11 Jun →
anubis	13–8	0.04	24%	10 Jun →
overpass	5–13	0.01	15%	9 Jun →
dust2	13–4	0.08	35%	4 Jun →
anubis	8–13	-0.02	21%	4 Jun →
dust2	15–15	-0.00	21%	4 Jun →
ancient	6–13	-0.06	19%	2 Jun →
dust2	13–16	0.03	24%	2 Jun →
inferno	9–13	0.04	14%	2 Jun →
ancient	13–10	0.03	19%	28 May →
dust2	10–13	0.02	16%	27 May →
dust2	16–13	-0.00	13%	23 May →
inferno	13–9	0.04	39%	23 May →
inferno	13–16	-0.08	24%	22 May →
inferno	3–13	-0.01	22%	22 May →
inferno	13–10	-0.01	13%	22 May →
dust2	16–13	0.04	24%	3 May →
inferno	6–13	0.03	26%	2 May →
inferno	13–6	-0.01	5%	2 May →
inferno	10–13	-0.03	9%	24 Apr →