Pixomnia — CS2 Stats

76561199098377074[U:1:1138111346]✓ No bans

2,247Tracked matches38%Win rate2022Tracked since

CSDB Rating4.8 DevelopingHybrid Rifler

Premier CS Rating16,280Purple band · top ~23.3% of ranked players (population est.)

CSDB Leaderboard#18551 of 32113 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanSilver Elite Master

Ladder ranks via Leetify

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Performance scores

Aim67

Positioning56

Utility19

0–100 skill scores via Leetify.

Recent form

COLD50–39–11Last 10050%Win rateLLWLTLTLWL

Last 10 vs previous 10: -10pp win rate · +0.01 avg rating

Player DNA

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

Aim6.7

Aggression7.5

Utility1.9

Positioning5.6

Opening Duels3.5

Clutch0.0

Limited utility dependence

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 ropz 84% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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 →

Strengths & areas to improve

Areas to improve

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

Reaction time. 656ms 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

Aim6.7

Positioning5.6

Utility1.9

Mechanics6.4

Opening Duels3.5

Win Impact1.2

Composite 4.8/10 (Developing), 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 rating-0.02−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time646ms−62ms

first ⅓ avg 708ms → last ⅓ avg 646ms

Headshot accuracy20.4%+4.5%

first ⅓ avg 15.9% → last ⅓ avg 20.4%

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

0.09Best rating — dust2 13–7

13–1Biggest win — train

9Longest win streak

L2Current streak

10–4In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 63% over 30cacheWeakest map · 11% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	30	19–11	63%	-0.02
mirage	B	17	8–9	47%	-0.02
nuke	A	11	6–5	55%	-0.01
cache	D	9	1–8	11%	-0.05
vertigo	B	8	4–4	50%	-0.01
inferno	D	7	2–5	29%	-0.01
ancient	D	6	2–4	33%	-0.01
anubis	C	5	2–3	40%	-0.05
train	—	4	4–0	100%	0.00
overpass	—	1	0–1	0%	-0.03
poseidon	—	1	1–0	100%	-0.06
shelter	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Faceit stats

Combat

17Matches

35%Win rate

0.82Avg K/D

73.4ADR

32%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

2Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	4	25%	0.90	18.8
Ancient	3	67%	1.08	17.0
Cache	3	0%	0.89	20.3
Mirage	3	0%	0.48	8.7
Nuke	2	100%	0.94	13.5
Train	1	100%	0.50	8.0
Overpass	1	0%	0.56	9.0

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.

18.2%Headshot accuracy

37.6%Accuracy (enemy spotted)

35.2%Spray accuracy

78.9%Counter-strafing

9.6°Preaim

656msReaction time

39.5%T opening success

48.2%CT opening success

0.55Enemies flashed / flash

0.6%Flash assists

3.47HE damage / grenade

3.66Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.6644 — below the 4 mark we flag
Grenade Lineups →
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 39.5334% — below the 40% mark we flag

Spend your practice time on Cache

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	1–9	-0.01	23%	29 Aug →
mirage	9–13	-0.04	20%	29 Aug →
nuke	13–8	0.04	8%	28 Aug →
vertigo	10–13	0.09	10%	27 Aug →
dust2	12–12	-0.07	36%	27 Aug →
cache	8–13	-0.04	11%	25 Aug →
mirage	12–12	-0.06	14%	23 Aug →
dust2	8–13	0.02	22%	23 Aug →
nuke	13–3	0.03	32%	23 Aug →
vertigo	11–13	-0.10	14%	23 Aug →
dust2	13–10	-0.03	16%	23 Aug →
cache	2–10	-0.09	100%	23 Aug →
dust2	13–10	0.00	9%	23 Aug →
mirage	13–11	0.02	11%	23 Aug →
cache	7–13	-0.07	9%	22 Aug →
cache	11–13	-0.03	26%	19 Aug →
mirage	7–13	-0.06	21%	19 Aug →
cache	7–13	0.03	20%	15 Aug →
vertigo	7–13	-0.03	35%	15 Aug →
nuke	6–13	-0.05	18%	15 Aug →
inferno	0–13	-0.03	21%	15 Aug →
cache	12–12	-0.05	18%	15 Aug →
dust2	4–13	-0.00	23%	15 Aug →
vertigo	13–2	-0.01	4%	15 Aug →
dust2	12–12	0.03	18%	15 Aug →
nuke	13–11	0.02	14%	14 Aug →
vertigo	13–6	0.03	18%	14 Aug →
nuke	13–7	0.05	17%	13 Aug →
mirage	2–13	-0.01	16%	13 Aug →
mirage	13–11	0.05	11%	13 Aug →
dust2	7–13	-0.05	6%	12 Aug →
vertigo	5–13	-0.04	13%	11 Aug →
dust2	13–6	-0.01	42%	11 Aug →
cache	13–11	-0.02	36%	11 Aug →
inferno	7–13	-0.02	29%	11 Aug →
mirage	12–12	0.01	11%	10 Aug →
nuke	10–13	0.04	15%	10 Aug →
nuke	7–13	-0.09	9%	10 Aug →
vertigo	13–3	0.05	21%	9 Aug →
mirage	12–12	-0.02	13%	9 Aug →
anubis	12–12	-0.04	10%	9 Aug →
inferno	4–13	-0.01	13%	9 Aug →
inferno	3–13	0.06	15%	9 Aug →
cache	10–13	-0.08	20%	8 Aug →
nuke	1–13	-0.05	3%	8 Aug →
train	13–1	-0.05	0%	8 Aug →
ancient	10–13	-0.01	9%	8 Aug →
dust2	12–12	-0.03	18%	8 Aug →
dust2	13–9	-0.05	17%	8 Aug →
dust2	13–10	0.03	12%	7 Aug →
dust2	8–13	-0.00	11%	7 Aug →
dust2	13–4	-0.01	24%	6 Aug →
dust2	6–13	-0.01	24%	6 Aug →
mirage	13–9	-0.04	18%	6 Aug →
dust2	11–13	-0.02	9%	5 Aug →
dust2	13–9	-0.09	31%	4 Aug →
dust2	13–8	0.04	24%	4 Aug →
mirage	5–13	-0.06	29%	4 Aug →
dust2	13–10	-0.11	18%	4 Aug →
mirage	13–4	0.04	23%	3 Aug →
overpass	6–13	-0.03	17%	3 Aug →
anubis	13–10	-0.09	22%	2 Aug →
ancient	10–13	-0.02	11%	1 Aug →
dust2	13–6	-0.03	32%	1 Aug →
inferno	8–8	-0.04	19%	1 Aug →
nuke	5–9	-0.12	12%	1 Aug →
poseidon	9–0	-0.06	9%	1 Aug →
dust2	13–5	0.01	20%	30 Jul →
ancient	9–13	0.03	15%	30 Jul →
dust2	8–13	-0.06	43%	29 Jul →
ancient	9–13	-0.06	15%	29 Jul →
mirage	13–5	-0.03	15%	28 Jul →
nuke	13–5	0.04	14%	27 Jul →
nuke	13–6	-0.04	12%	26 Jul →
train	13–7	0.05	11%	26 Jul →
cache	6–13	-0.06	13%	24 Jul →
anubis	6–13	-0.03	12%	24 Jul →
ancient	13–5	0.02	5%	23 Jul →
ancient	13–11	-0.02	18%	23 Jul →
dust2	13–9	-0.09	4%	23 Jul →
dust2	13–6	0.00	21%	22 Jul →
dust2	12–12	-0.03	30%	22 Jul →
mirage	13–11	-0.04	9%	22 Jul →
inferno	13–7	-0.02	15%	21 Jul →
mirage	13–5	0.04	5%	19 Jul →
dust2	13–7	0.09	19%	19 Jul →
mirage	12–12	-0.01	16%	19 Jul →
mirage	13–7	-0.03	7%	18 Jul →
dust2	13–6	-0.07	5%	18 Jul →
train	13–11	0.01	10%	16 Jul →
dust2	13–6	0.01	19%	16 Jul →
anubis	13–7	-0.07	11%	16 Jul →
dust2	13–11	0.01	30%	16 Jul →
dust2	13–6	-0.01	15%	16 Jul →
dust2	13–10	0.08	27%	16 Jul →
vertigo	13–11	-0.03	8%	15 Jul →
anubis	11–13	-0.03	24%	15 Jul →
shelter	13–7	-0.00	12%	15 Jul →
train	13–10	-0.01	27%	14 Jul →
inferno	13–11	-0.03	17%	14 Jul →