BadDoug — CS2 Stats

76561198177753313[U:1:217487585]Steam profile ↗

3,329Tracked matches43%Win rate2020Tracked since

9,609Hours in CS21Hrs last 2 wks

CSDB Rating6.2 SolidAggressive Rifler

Premier CS Rating16,013Purple band · top ~24.4% of ranked players (population est.)

CSDB Leaderboard#13084 of 21563 tracked

FaceitLevel 7 · 1,516 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim81

Positioning56

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateLWWWWLWLLW

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating

Player DNA

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

Aim8.1

Aggression10.0

Utility5.7

Positioning5.6

Opening Duels5.4

Clutch4.0

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

Plays most like sh1ro 90% playstyle similarity

Most alike: utility contribution, 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

Reaction time. 561ms 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

Aim8.1

Positioning5.6

Utility5.7

Mechanics6.6

Opening Duels5.4

Win Impact2.8

Composite 6.2/10 (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 rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time567ms−10ms

first ⅓ avg 577ms → last ⅓ avg 567ms

Headshot accuracy22.1%+1.0%

first ⅓ avg 21.0% → last ⅓ avg 22.1%

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

0.17Best rating — inferno 13–4

13–1Biggest win — mirage

6Longest win streak

7–8In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 60% over 5dust2Weakest map · 38% over 21

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	26	15–11	58%	0.03
dust2	C	21	8–13	38%	0.01
inferno	C	16	6–10	38%	0.02
anubis	B	14	7–7	50%	-0.00
cache	C	9	4–5	44%	0.02
ancient	A	5	3–2	60%	0.00
nuke	—	4	3–1	75%	0.02
vertigo	—	3	0–3	0%	0.03
overpass	—	2	1–1	50%	-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

229,655Lifetime kills

0.93K/D

12,351Matches

38.5%Match win rate

37.6%Headshot %

15.8%Shot accuracy · Top 25% of tracked players

25,936MVPs

5,345Hours (in match)

17,403Bombs planted

3,200Bombs defused

Most-used weapons

AWP72,451

AK-4741,556

Desert Eagle29,880

M4A4 / M4A1-S17,599

P2000 / USP-S9,517

Glock-186,785

MAC-106,718

FAMAS5,154

Galil AR4,953

MP94,834

Lifetime map wins

22,847inferno

14,814dust2

9,643vertigo

4,096train

3,902nuke

1,090cbble

367office

301lake

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

Faceit stats

Combat

1,586Matches

50%Win rate

0.98Avg K/D

72.6ADR

34%Headshot %

Clutches & streaks

40%1v1 clutch win

23%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	126	52%	1.00	14.5
Inferno	97	59%	1.04	14.6
Anubis	93	54%	0.99	14.7
Vertigo	50	42%	0.92	13.7
Dust2	35	60%	1.12	16.1
Overpass	27	56%	0.89	14.8
Train	15	47%	1.14	16.8
Ancient	14	50%	1.10	15.6

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.

21.6%Headshot accuracy

36.4%Accuracy (enemy spotted)

40.8%Spray accuracy

79.6%Counter-strafing

9.6°Preaim

561msReaction time

50.5%T opening success

52.9%CT opening success

0.55Enemies flashed / flash

6.0%Flash assists

9.11HE damage / grenade

12.17Flashes / match

Recommended for you

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.

38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	11–13	0.03	32%	28 Aug →
mirage	13–8	0.06	23%	27 Aug →
anubis	13–6	0.04	42%	26 Aug →
inferno	13–6	0.02	18%	26 Aug →
dust2	13–6	0.12	26%	25 Aug →
inferno	13–16	0.02	19%	24 Aug →
cache	13–11	0.09	23%	24 Aug →
mirage	7–13	0.01	18%	24 Aug →
dust2	6–13	-0.00	26%	24 Aug →
mirage	13–6	-0.01	22%	20 Aug →
inferno	11–13	0.03	22%	20 Aug →
ancient	13–11	0.04	11%	19 Aug →
anubis	9–13	0.01	18%	19 Aug →
anubis	8–13	-0.03	5%	19 Aug →
vertigo	10–13	0.01	11%	19 Aug →
vertigo	11–13	0.07	17%	19 Aug →
mirage	4–13	0.04	22%	19 Aug →
anubis	6–13	-0.05	48%	17 Aug →
anubis	3–13	-0.07	14%	17 Aug →
mirage	13–7	0.07	40%	17 Aug →
dust2	2–13	0.01	25%	11 Aug →
mirage	13–1	0.16	25%	10 Aug →
mirage	13–8	0.05	17%	10 Aug →
inferno	13–5	0.07	28%	10 Aug →
nuke	13–7	0.03	30%	9 Aug →
anubis	13–16	0.03	16%	8 Aug →
mirage	9–13	0.02	21%	8 Aug →
cache	11–13	0.10	18%	7 Aug →
dust2	9–13	0.07	21%	6 Aug →
cache	13–10	-0.00	15%	6 Aug →
cache	12–16	-0.02	21%	5 Aug →
inferno	8–13	-0.03	19%	5 Aug →
nuke	13–10	-0.00	16%	4 Aug →
cache	13–11	0.01	11%	4 Aug →
ancient	13–11	0.03	9%	4 Aug →
inferno	13–16	-0.06	15%	2 Aug →
anubis	13–7	0.00	19%	31 Jul →
cache	15–15	-0.01	19%	31 Jul →
mirage	3–13	-0.04	25%	31 Jul →
dust2	13–11	-0.02	19%	30 Jul →
cache	13–10	0.02	17%	28 Jul →
inferno	8–13	0.07	19%	28 Jul →
inferno	3–13	0.04	20%	28 Jul →
mirage	10–13	0.02	14%	21 Jul →
dust2	11–13	-0.04	14%	21 Jul →
nuke	8–13	0.05	8%	20 Jul →
mirage	11–13	0.03	20%	18 Jul →
mirage	13–8	0.17	36%	18 Jul →
mirage	13–3	0.05	17%	18 Jul →
cache	10–13	-0.00	19%	18 Jul →
dust2	13–7	-0.04	17%	18 Jul →
inferno	6–13	-0.03	38%	17 Jul →
inferno	5–13	-0.02	29%	15 Jul →
inferno	8–13	-0.02	21%	14 Jul →
mirage	13–4	0.01	15%	14 Jul →
anubis	13–4	-0.02	29%	13 Jul →
dust2	13–2	-0.01	22%	12 Jul →
anubis	13–5	0.08	18%	11 Jul →
dust2	7–13	-0.03	29%	10 Jul →
dust2	10–13	0.09	15%	9 Jul →
mirage	7–13	-0.01	6%	9 Jul →
mirage	13–5	0.01	39%	8 Jul →
cache	12–12	-0.04	26%	8 Jul →
inferno	11–13	-0.07	10%	8 Jul →
anubis	13–6	-0.03	8%	8 Jul →
vertigo	10–13	-0.00	12%	8 Jul →
dust2	8–13	-0.03	22%	8 Jul →
dust2	13–6	-0.02	9%	7 Jul →
mirage	8–13	0.00	22%	7 Jul →
mirage	13–8	0.07	37%	7 Jul →
inferno	13–6	0.02	14%	7 Jul →
dust2	5–13	-0.02	40%	6 Jul →
nuke	13–5	0.01	22%	6 Jul →
anubis	15–15	-0.03	19%	5 Jul →
ancient	6–13	-0.03	18%	5 Jul →
mirage	13–9	-0.03	26%	3 Jul →
overpass	13–16	-0.02	21%	3 Jul →
overpass	13–10	-0.02	18%	1 Jul →
mirage	6–13	-0.03	15%	30 Jun →
inferno	13–4	0.01	24%	30 Jun →
dust2	13–7	0.03	21%	30 Jun →
dust2	13–5	0.04	30%	30 Jun →
mirage	13–2	0.09	25%	30 Jun →
ancient	13–11	-0.01	11%	30 Jun →
anubis	13–10	-0.00	17%	30 Jun →
dust2	10–13	0.04	32%	30 Jun →
ancient	4–13	-0.00	19%	30 Jun →
dust2	9–13	0.05	20%	30 Jun →
mirage	13–8	0.06	13%	28 Jun →
dust2	15–15	-0.04	19%	28 Jun →
anubis	12–16	0.08	28%	28 Jun →
mirage	13–9	0.03	23%	27 Jun →
inferno	13–9	0.07	14%	27 Jun →
dust2	11–13	0.00	20%	25 Jun →
inferno	13–4	0.17	28%	25 Jun →
anubis	13–11	-0.01	13%	24 Jun →
dust2	7–13	-0.06	14%	24 Jun →
mirage	10–1	0.01	23%	24 Jun →
mirage	7–13	-0.04	17%	23 Jun →
dust2	13–7	0.10	25%	23 Jun →