Spoof — CS2 Stats

CA76561198198695475[U:1:238429747]Steam profile ↗✓ No bans

710Tracked matches50%Win rate2020Tracked since

1,100Hours in CS20Hrs last 2 wks

CSDB Rating5.5 SolidHybrid Rifler

WingmanMaster Guardian Elite

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

Aim62

Positioning55

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY42–50–8Last 10042%Win rateLWLWWLLWWL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

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

Aim6.2

Aggression5.9

Utility6.6

Positioning5.5

Opening Duels2.7

Clutch1.0

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

Plays most like Twistzz 90% playstyle similarity

Most alike: positioning profile, 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 50% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 613ms 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

Aim6.2

Positioning5.5

Utility6.6

Mechanics5.1

Opening Duels2.7

Win Impact5.0

Composite 5.5/10 (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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time618ms−24ms

first ⅓ avg 642ms → last ⅓ avg 618ms

Headshot accuracy14.9%−1.1%

first ⅓ avg 16.1% → last ⅓ avg 14.9%

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

0.16Best rating — dust2 11–13

13–0Biggest win — ancient

5Longest win streak

3–5In matches decided by ≤2 rounds

2Overtime games

Map breakdown

ancientBest map · 60% over 5infernoWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	32	12–20	38%	0.01
dust2	B	28	14–14	50%	0.01
mirage	C	14	6–8	43%	0.02
inferno	D	9	3–6	33%	0.03
ancient	A	5	3–2	60%	0.01
train	—	4	2–2	50%	0.02
overpass	—	3	1–2	33%	0.04
nuke	—	2	0–2	0%	0.00
vertigo	—	1	0–1	0%	0.03
anubis	—	1	1–0	100%	0.03
office	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,737Lifetime kills

1.14K/D · Top 50% of tracked players

1,677Matches

43.9%Match win rate

39.9%Headshot %

8.5%Shot accuracy

4,102MVPs

562Hours (in match)

1,578Bombs planted

491Bombs defused

Most-used weapons

AK-4710,964

M4A4 / M4A1-S6,940

AWP2,895

P2000 / USP-S2,130

Glock-181,769

Desert Eagle1,351

MAC-10720

MP9667

FAMAS562

Galil AR522

Lifetime map wins

4,338dust2

1,081train

1,047inferno

668vertigo

570nuke

293office

129cbble

38lake

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

Faceit stats

Combat

38Matches

63%Win rate

1.33Avg K/D

92.7ADR

38%Headshot %

Clutches & streaks

25%1v1 clutch win

19%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	14	79%	1.21	17.0
Inferno	8	62%	1.34	15.8
Nuke	5	40%	1.49	18.0
Dust2	5	40%	1.22	19.2
Cache	4	50%	1.37	16.0
Overpass	2	100%	1.88	23.0

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.

15.1%Headshot accuracy

35.7%Accuracy (enemy spotted)

38.6%Spray accuracy

73.2%Counter-strafing

9.7°Preaim

613msReaction time

31.4%T opening success

50.4%CT opening success

0.66Enemies flashed / flash

7.0%Flash assists

9.60HE damage / grenade

9.66Flashes / 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 31.4487% — 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.

33% win rate across 9 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	5–13	-0.07	12%	26 Aug →
dust2	13–2	0.11	7%	24 Aug →
cache	11–13	-0.01	18%	22 Aug →
cache	13–9	0.09	12%	21 Aug →
dust2	13–9	0.03	11%	21 Aug →
mirage	10–13	0.04	14%	20 Aug →
inferno	6–13	0.02	14%	18 Aug →
dust2	13–8	0.04	22%	17 Aug →
mirage	13–7	-0.04	28%	17 Aug →
vertigo	10–13	0.03	13%	16 Aug →
train	8–13	0.02	8%	16 Aug →
train	13–8	0.04	22%	16 Aug →
cache	0–13	-0.02	12%	16 Aug →
cache	7–13	0.06	14%	16 Aug →
cache	12–12	-0.01	10%	16 Aug →
dust2	13–7	-0.04	21%	16 Aug →
cache	12–12	0.08	15%	15 Aug →
mirage	13–9	0.02	15%	15 Aug →
dust2	11–13	0.00	8%	15 Aug →
dust2	13–5	0.09	17%	14 Aug →
dust2	13–5	-0.01	20%	13 Aug →
inferno	10–13	-0.03	14%	8 Aug →
ancient	13–2	0.08	21%	7 Aug →
inferno	4–13	0.10	10%	7 Aug →
mirage	13–3	0.07	10%	7 Aug →
cache	9–13	-0.04	25%	6 Aug →
mirage	9–13	-0.00	13%	5 Aug →
dust2	13–3	-0.01	11%	4 Aug →
dust2	3–13	0.02	24%	17 Jul →
dust2	13–4	0.02	14%	16 Jul →
dust2	15–19	0.01	21%	15 Jul →
cache	9–13	-0.06	8%	14 Jul →
cache	7–13	-0.03	13%	13 Jul →
train	12–12	-0.00	16%	11 Jul →
ancient	4–13	-0.00	14%	11 Jul →
mirage	12–12	0.05	15%	11 Jul →
cache	12–12	0.04	8%	11 Jul →
dust2	13–6	0.01	36%	10 Jul →
cache	8–13	-0.01	18%	10 Jul →
inferno	13–7	0.02	11%	9 Jul →
cache	13–9	0.03	23%	9 Jul →
cache	12–12	0.08	20%	7 Jul →
dust2	11–13	0.16	13%	7 Jul →
inferno	12–12	0.03	14%	6 Jul →
anubis	13–8	0.03	12%	6 Jul →
mirage	5–13	0.02	8%	6 Jul →
office	3–13	-0.06	9%	6 Jul →
cache	13–5	0.10	24%	5 Jul →
dust2	5–13	0.08	20%	5 Jul →
dust2	13–8	0.05	16%	5 Jul →
cache	12–12	-0.02	12%	5 Jul →
nuke	8–13	0.03	9%	5 Jul →
cache	2–13	-0.07	4%	5 Jul →
cache	13–3	0.08	15%	4 Jul →
ancient	13–4	0.03	20%	2 Jul →
ancient	9–13	-0.06	5%	2 Jul →
cache	10–13	-0.03	10%	2 Jul →
overpass	13–3	0.10	11%	29 Jun →
inferno	6–13	0.02	9%	28 Jun →
mirage	7–13	-0.02	13%	28 Jun →
dust2	8–13	0.01	22%	28 Jun →
inferno	13–11	0.08	18%	28 Jun →
mirage	8–13	-0.05	12%	28 Jun →
overpass	7–13	0.02	14%	27 Jun →
train	13–7	0.03	13%	27 Jun →
inferno	0–13	-0.01	11%	27 Jun →
cache	1–13	-0.10	8%	27 Jun →
dust2	2–13	-0.06	11%	27 Jun →
mirage	13–5	0.00	19%	26 Jun →
overpass	9–13	0.01	18%	26 Jun →
nuke	10–13	-0.02	18%	26 Jun →
dust2	6–13	-0.01	37%	26 Jun →
ancient	13–0	-0.00	0%	26 Jun →
dust2	6–13	-0.02	22%	25 Jun →
cache	13–6	0.01	11%	25 Jun →
cache	7–13	-0.05	19%	24 Jun →
dust2	13–11	-0.02	16%	23 Jun →
mirage	7–13	-0.07	26%	23 Jun →
dust2	6–13	0.01	5%	21 Jun →
mirage	13–1	0.15	11%	21 Jun →
inferno	13–6	0.07	5%	21 Jun →
cache	6–13	-0.09	21%	21 Jun →
dust2	5–13	-0.06	16%	17 Jun →
cache	11–13	0.01	12%	16 Jun →
mirage	8–13	0.02	16%	14 Jun →
cache	13–4	0.06	27%	14 Jun →
dust2	11–13	-0.00	21%	13 Jun →
dust2	4–13	0.03	26%	13 Jun →
cache	13–8	0.04	18%	11 Jun →
cache	13–10	0.11	16%	9 Jun →
cache	13–5	0.02	18%	9 Jun →
cache	13–3	0.07	7%	8 Jun →
cache	13–9	0.13	15%	8 Jun →
cache	10–13	-0.02	11%	8 Jun →
dust2	13–9	-0.06	20%	6 Jun →
dust2	16–14	0.02	9%	5 Jun →
mirage	13–9	0.04	15%	5 Jun →
cache	9–13	-0.01	15%	5 Jun →
cache	13–10	-0.01	14%	2 Jun →
dust2	13–9	-0.02	17%	1 Jun →