drained fappy228 — CS2 Stats

RU76561198328936702[U:1:368670974]Steam profile ↗✓ No bans

2,474Tracked matches53%Win rate2020Tracked since

4,674Hours in CS61Hrs last 2 wks

CSDB Rating5.6 SolidAggressive Rifler

Premier CS Rating22,662Top 50% of 819 CSDB-tracked playersPink band · top ~5.6% of ranked players (population est.)

CSDB Leaderboard#5072 of 17896 tracked

FaceitLevel 6 · 1,625 ELOTop 54.0% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim72

Positioning50

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY45–50–5Last 10045%Win rateLWWWLWLLLW

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.

Aim7.2

Aggression6.5

Utility5.1

Positioning5.0

Opening Duels2.2

Clutch2.6

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 Twistzz 89% playstyle similarity

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

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 →

CSDB Rating breakdown

Aim7.2

Positioning5.0

Utility5.1

Mechanics4.7

Opening Duels2.2

Win Impact6.1

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time518ms−116ms

first ⅓ avg 634ms → last ⅓ avg 518ms

Headshot accuracy22.3%−4.4%

first ⅓ avg 26.8% → last ⅓ avg 22.3%

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

0.11Best rating — nuke 6–13

13–1Biggest win — nuke

5Longest win streak

9–8In matches decided by ≤2 rounds

11Overtime games

Map breakdown

ancientBest map · 69% over 13infernoWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	34	16–18	47%	-0.01
anubis	C	15	6–9	40%	-0.02
ancient	S	13	9–4	69%	0.00
nuke	C	10	4–6	40%	0.00
inferno	D	10	3–7	30%	0.00
mirage	D	9	3–6	33%	-0.01
cache	C	9	4–5	44%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

139,264Lifetime kills

0.95K/D

6,167Matches

43.2%Match win rate

55.8%Headshot % · Top 25% of Pink band

7.9%Shot accuracy

17,521MVPs

6,195Hours (in match)

4,919Bombs planted

1,796Bombs defused

Most-used weapons

AK-4758,417

M4A4 / M4A1-S23,137

AWP13,500

Desert Eagle8,977

P2000 / USP-S6,948

Glock-184,770

Galil AR2,821

MP92,546

P2502,311

FAMAS1,956

Lifetime map wins

14,238dust2

7,964inferno

4,789nuke

2,345train

1,974vertigo

672cbble

438office

80safehouse

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

Faceit stats

Combat

1,665Matches

49%Win rate

1.09Avg K/D

80.3ADR

51%Headshot %

Clutches & streaks

33%1v1 clutch win

23%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	215	46%	1.01	16.3
Mirage	166	48%	1.04	15.4
Ancient	150	49%	1.08	16.2
Inferno	117	56%	1.04	15.2
Anubis	107	51%	1.08	16.6
Nuke	73	52%	1.06	16.5
Vertigo	25	36%	1.01	15.3
Overpass	18	39%	1.08	16.6

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.

22.5%Headshot accuracy

32.7%Accuracy (enemy spotted)

35.6%Spray accuracy

71.2%Counter-strafing

9.7°Preaim

512msReaction time

32.0%T opening success

45.8%CT opening success

0.56Enemies flashed / flash

5.0%Flash assists

8.12HE damage / grenade

7.58Flashes / 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 32.0384% — below the 40% mark we flag

Spend your practice time on Inferno

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	9–13	-0.04	21%	28 Aug →
ancient	13–10	-0.00	26%	28 Aug →
anubis	13–8	-0.04	23%	28 Aug →
dust2	13–10	0.02	22%	28 Aug →
dust2	6–13	-0.03	21%	27 Aug →
anubis	13–2	0.09	25%	27 Aug →
nuke	6–13	-0.03	34%	27 Aug →
anubis	9–13	-0.04	17%	26 Aug →
inferno	4–13	0.00	13%	24 Aug →
mirage	13–11	0.02	18%	24 Aug →
dust2	6–13	-0.06	26%	24 Aug →
ancient	16–12	0.03	11%	24 Aug →
ancient	13–5	-0.01	17%	24 Aug →
mirage	9–13	-0.02	20%	24 Aug →
dust2	11–13	-0.07	17%	24 Aug →
nuke	13–1	-0.04	17%	24 Aug →
mirage	13–9	-0.01	29%	24 Aug →
nuke	13–8	0.05	22%	24 Aug →
dust2	13–4	-0.01	23%	24 Aug →
nuke	10–13	-0.02	15%	23 Aug →
inferno	7–13	-0.01	31%	23 Aug →
mirage	4–13	-0.05	11%	23 Aug →
dust2	13–11	0.01	18%	23 Aug →
inferno	13–6	-0.00	21%	23 Aug →
anubis	13–10	0.02	38%	22 Aug →
dust2	13–6	0.07	29%	22 Aug →
dust2	16–14	0.01	29%	21 Aug →
anubis	8–13	-0.01	24%	20 Aug →
dust2	3–13	-0.07	21%	20 Aug →
nuke	14–16	-0.05	30%	17 Aug →
mirage	15–15	0.00	20%	17 Aug →
anubis	7–13	-0.02	23%	17 Aug →
dust2	10–13	0.03	25%	16 Aug →
ancient	13–9	-0.04	23%	16 Aug →
inferno	6–13	-0.05	28%	16 Aug →
nuke	13–7	0.00	22%	16 Aug →
ancient	13–10	-0.01	16%	16 Aug →
dust2	13–11	-0.00	19%	16 Aug →
anubis	2–13	-0.00	33%	16 Aug →
anubis	10–13	-0.02	20%	15 Aug →
inferno	13–7	0.03	26%	15 Aug →
dust2	7–13	-0.03	31%	15 Aug →
dust2	16–13	-0.01	10%	11 Aug →
inferno	10–13	0.00	25%	11 Aug →
dust2	13–7	0.01	33%	11 Aug →
inferno	11–13	-0.03	16%	11 Aug →
cache	13–9	0.01	42%	10 Aug →
ancient	13–1	0.02	23%	10 Aug →
dust2	11–13	-0.04	26%	10 Aug →
anubis	13–7	0.00	27%	9 Aug →
ancient	13–6	-0.04	19%	9 Aug →
nuke	6–13	0.11	22%	9 Aug →
cache	7–13	-0.06	21%	9 Aug →
anubis	13–7	0.04	22%	9 Aug →
nuke	0–9	-0.05	10%	8 Aug →
dust2	13–8	0.07	30%	8 Aug →
ancient	13–8	0.02	34%	8 Aug →
dust2	13–11	-0.03	21%	8 Aug →
ancient	10–13	-0.02	23%	5 Aug →
anubis	6–13	-0.09	28%	5 Aug →
dust2	10–13	-0.02	20%	4 Aug →
nuke	13–6	0.04	19%	3 Aug →
ancient	11–13	-0.03	29%	3 Aug →
mirage	13–11	-0.06	18%	3 Aug →
anubis	15–15	-0.08	15%	3 Aug →
dust2	13–11	-0.01	25%	2 Aug →
anubis	13–9	0.01	23%	2 Aug →
anubis	8–13	-0.06	18%	2 Aug →
dust2	10–13	-0.03	23%	2 Aug →
dust2	13–8	-0.06	26%	2 Aug →
cache	10–13	-0.04	27%	2 Aug →
dust2	13–11	-0.01	15%	2 Aug →
cache	13–9	0.00	30%	2 Aug →
dust2	9–13	-0.02	30%	1 Aug →
ancient	13–1	0.02	32%	1 Aug →
nuke	15–15	0.03	34%	1 Aug →
dust2	11–13	-0.04	15%	1 Aug →
cache	4–13	-0.02	36%	1 Aug →
dust2	9–13	-0.06	15%	1 Aug →
dust2	13–11	0.01	27%	1 Aug →
mirage	13–16	0.01	31%	31 Jul →
cache	6–13	-0.05	18%	31 Jul →
dust2	13–10	0.01	32%	30 Jul →
cache	13–10	-0.05	35%	30 Jul →
dust2	4–13	-0.00	34%	30 Jul →
inferno	15–15	-0.03	13%	30 Jul →
ancient	9–13	-0.02	28%	29 Jul →
dust2	13–10	-0.02	31%	29 Jul →
inferno	14–16	0.05	33%	29 Jul →
mirage	2–13	0.01	36%	28 Jul →
dust2	3–13	-0.01	31%	28 Jul →
cache	16–13	0.05	29%	28 Jul →
dust2	10–13	-0.04	32%	28 Jul →
inferno	13–5	0.05	27%	28 Jul →
dust2	11–13	0.03	27%	27 Jul →
dust2	5–13	-0.01	23%	27 Jul →
mirage	12–12	-0.01	33%	27 Jul →
cache	5–13	0.02	10%	27 Jul →
anubis	10–13	-0.03	33%	27 Jul →
ancient	9–13	0.09	19%	26 Jul →