Esoteric Backshots #Faze — CS2 Stats

AU76561198025668890[U:1:65403162]Steam profile ↗VAC banned

954Tracked matches60%Win rate2021Tracked since

2,454Hours in CS

CSDB Rating6.3 SolidHybrid Rifler

Premier CS Rating20,507Pink band · top ~7.9% of ranked players (population est.)

CSDB Leaderboard#9423 of 23876 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=862), 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 6 median	Level 7 median	vs Level 7
Headshot rate	39.5%	44.9%	46.2%	6.8% short
Shot accuracy	19.6%	11.8%	12.5%	above
Kill/death ratio	1.08	1.04	1.06	meets
Match win rate	47.2%	45.3%	45.9%	above

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim82

Positioning43

Utility47

0–100 skill scores via Leetify.

Recent form

HOT58–38–4Last 10058%Win rateWLWWWWWLWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

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

Aim8.2

Aggression6.2

Utility4.7

Positioning4.3

Opening Duels1.5

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 88% playstyle similarity

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

Where you differ: lower 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

Areas to improve

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 564ms 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

Aim8.2

Positioning4.3

Utility4.7

Mechanics7.8

Opening Duels1.5

Win Impact8.3

Composite 6.3/10 (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 rating0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time564ms−31ms

first ⅓ avg 595ms → last ⅓ avg 564ms

Headshot accuracy22.0%−3.6%

first ⅓ avg 25.6% → last ⅓ avg 22.0%

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

0.27Best rating — mirage 4–0

13–1Biggest win — mirage

7Longest win streak

10–7In matches decided by ≤2 rounds

2Overtime games

Map breakdown

dust2Best map · 62% over 21infernoWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	37	22–15	59%	0.02
dust2	A	21	13–8	62%	0.03
cache	A	20	11–9	55%	0.01
inferno	C	11	4–7	36%	-0.03
overpass	—	3	3–0	100%	0.03
nuke	—	3	2–1	67%	0.02
ancient	—	2	2–0	100%	-0.02
anubis	—	2	1–1	50%	0.08
train	—	1	0–1	0%	0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

92,467Lifetime kills

1.08K/D · Top 50% of Level 6 players

3,454Matches

47.2%Match win rate · Top 50% of Level 6 players

39.5%Headshot %

19.6%Shot accuracy · Top 5% of Level 6 players

8,386MVPs

2,454Hours (in match)

5,542Bombs planted

1,257Bombs defused

Most-used weapons

AWP22,502

AK-4720,979

M4A4 / M4A1-S12,101

P2000 / USP-S4,927

Desert Eagle3,924

SSG 083,334

Glock-183,302

P2503,078

Five-SeveN2,281

Tec-92,253

Lifetime map wins

16,656dust2

6,317inferno

2,339nuke

576train

524vertigo

470cbble

301office

135assault

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

Faceit stats

Combat

36Matches

47%Win rate

0.88Avg K/D

—ADR

43%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

6Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	1	0%	0.89	16.0
Mirage	1	0%	0.21	4.0

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.

21.7%Headshot accuracy

34.8%Accuracy (enemy spotted)

31.3%Spray accuracy

85.2%Counter-strafing

7.4°Preaim

564msReaction time

32.3%T opening success

39.3%CT opening success

0.55Enemies flashed / flash

5.9%Flash assists

9.06HE damage / grenade

6.05Flashes / 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 32.3306% — 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.

36% win rate across 11 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
mirage	13–8	-0.02	32%	3 Aug →
inferno	0–12	-0.08	7%	3 Aug →
cache	13–8	-0.02	23%	2 Aug →
mirage	13–11	0.01	25%	26 Jul →
overpass	13–4	0.07	19%	26 Jul →
mirage	5–1	0.02	5%	26 Jul →
cache	13–10	0.01	22%	26 Jul →
dust2	10–13	-0.01	21%	26 Jul →
nuke	13–3	0.00	8%	25 Jul →
cache	9–13	0.00	15%	25 Jul →
cache	11–13	-0.03	17%	25 Jul →
mirage	8–13	0.01	20%	25 Jul →
inferno	14–16	-0.03	11%	25 Jul →
cache	16–12	-0.01	16%	22 Jul →
ancient	13–6	-0.04	15%	22 Jul →
cache	13–9	0.02	17%	20 Jul →
inferno	6–13	-0.08	27%	20 Jul →
mirage	13–4	0.05	39%	19 Jul →
dust2	13–8	0.02	26%	19 Jul →
mirage	3–13	-0.14	11%	19 Jul →
mirage	13–5	0.05	21%	19 Jul →
mirage	13–5	-0.01	8%	19 Jul →
cache	13–4	0.05	14%	19 Jul →
mirage	13–4	0.03	27%	19 Jul →
anubis	9–13	-0.01	13%	19 Jul →
cache	11–13	-0.01	31%	18 Jul →
dust2	7–13	-0.01	50%	18 Jul →
inferno	8–13	-0.09	14%	18 Jul →
nuke	13–6	0.11	62%	18 Jul →
mirage	4–0	0.27	33%	18 Jul →
dust2	10–13	0.01	34%	18 Jul →
mirage	9–13	-0.07	27%	18 Jul →
dust2	13–7	-0.04	17%	18 Jul →
dust2	13–9	-0.04	28%	18 Jul →
cache	13–9	0.01	23%	16 Jul →
cache	13–5	0.08	33%	15 Jul →
mirage	13–11	0.09	30%	15 Jul →
dust2	13–5	0.14	27%	14 Jul →
dust2	13–3	0.04	21%	14 Jul →
cache	11–13	0.03	19%	13 Jul →
mirage	7–13	0.05	21%	13 Jul →
mirage	13–10	0.05	24%	8 Jul →
cache	11–13	-0.00	28%	8 Jul →
mirage	5–13	-0.05	8%	8 Jul →
mirage	13–2	0.09	31%	7 Jul →
mirage	13–11	0.00	11%	6 Jul →
dust2	13–5	0.07	39%	6 Jul →
dust2	13–2	0.04	35%	6 Jul →
cache	13–11	0.06	43%	5 Jul →
mirage	13–7	0.04	22%	5 Jul →
inferno	3–13	-0.05	26%	5 Jul →
dust2	13–8	0.05	24%	5 Jul →
dust2	11–13	-0.05	26%	5 Jul →
inferno	13–11	0.04	25%	5 Jul →
dust2	2–13	-0.09	22%	4 Jul →
ancient	13–6	-0.00	13%	4 Jul →
mirage	4–13	0.01	22%	4 Jul →
mirage	13–7	0.02	52%	4 Jul →
nuke	3–13	-0.04	16%	4 Jul →
mirage	8–13	0.02	24%	4 Jul →
cache	5–13	-0.04	38%	4 Jul →
mirage	13–5	-0.02	48%	4 Jul →
cache	8–0	0.15	21%	3 Jul →
mirage	10–13	0.00	9%	3 Jul →
mirage	13–11	-0.04	33%	2 Jul →
dust2	13–8	0.09	33%	2 Jul →
dust2	13–11	0.10	52%	2 Jul →
cache	13–9	0.01	32%	30 Jun →
dust2	12–12	0.01	39%	30 Jun →
mirage	12–12	0.07	32%	28 Jun →
mirage	7–13	-0.07	28%	28 Jun →
overpass	13–7	0.01	23%	28 Jun →
mirage	7–13	-0.01	23%	27 Jun →
mirage	13–11	0.06	25%	27 Jun →
mirage	13–11	0.05	35%	26 Jun →
dust2	12–12	0.01	11%	25 Jun →
cache	10–13	-0.06	19%	25 Jun →
inferno	13–3	0.05	30%	22 Jun →
mirage	2–13	-0.04	22%	22 Jun →
inferno	11–13	0.00	21%	22 Jun →
inferno	13–8	-0.01	32%	21 Jun →
overpass	13–9	-0.00	33%	20 Jun →
dust2	13–5	0.06	23%	20 Jun →
inferno	13–4	-0.03	32%	20 Jun →
mirage	13–2	0.03	20%	20 Jun →
mirage	13–6	0.06	26%	14 Jun →
mirage	10–13	-0.03	11%	14 Jun →
mirage	7–13	-0.05	15%	14 Jun →
mirage	13–1	0.12	18%	13 Jun →
cache	9–13	-0.02	23%	7 Jun →
mirage	13–10	-0.00	24%	6 Jun →
train	6–13	0.07	35%	6 Jun →
inferno	10–13	-0.03	43%	31 May →
dust2	13–11	0.03	20%	30 May →
dust2	12–12	0.11	25%	30 May →
dust2	13–4	-0.00	27%	30 May →
anubis	13–1	0.18	24%	30 May →
cache	13–4	0.04	30%	29 May →
cache	6–13	0.01	26%	29 May →
mirage	10–13	0.05	20%	29 May →