xofnu — CS2 Stats

76561198255835660[U:1:295569932]Steam profile ↗✓ No bans

820Tracked matches43%Win rate2021Tracked since

CSDB Rating5.1 DevelopingAggressive Rifler

Premier CS Rating2,013Grey band · top ~91.5% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim70

Positioning54

Utility37

0–100 skill scores via Leetify.

Recent form

STEADY39–57–4Last 10039%Win rateWWWWLLLLWL

Last 10 vs previous 10: +10pp win rate · -0.06 avg rating

Player DNA

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

Aim7.0

Aggression7.9

Utility3.7

Positioning5.4

Opening Duels3.5

Clutch2.6

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 b1t 88% 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 →

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.

T-side openings. Opening success drops from 55% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 681ms 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

Aim7.0

Positioning5.4

Utility3.7

Mechanics8.4

Opening Duels3.5

Win Impact2.8

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02

first ⅓ avg -0.00 → last ⅓ avg 0.02

Reaction time678ms−41ms

first ⅓ avg 719ms → last ⅓ avg 678ms

Headshot accuracy15.3%−2.0%

first ⅓ avg 17.2% → last ⅓ avg 15.3%

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

0.25Best rating — inferno 13–1

13–1Biggest win — inferno

4Longest win streak

W4Current streak

12–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 67% over 6fachwerkWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	26	10–16	38%	-0.00
dust2	D	17	5–12	29%	0.01
ancient	D	13	3–10	23%	0.03
fachwerk	D	9	2–7	22%	0.03
cache	A	8	5–3	63%	-0.02
inferno	A	8	5–3	63%	0.01
anubis	A	7	4–3	57%	-0.00
nuke	S	6	4–2	67%	0.06
shelter	—	4	1–3	25%	0.02
train	—	1	0–1	0%	-0.02
alpine	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Faceit stats

Combat

9Matches

33%Win rate

0.68Avg K/D

69.9ADR

44%Headshot %

Clutches & streaks

33%1v1 clutch win

0%1v2 clutch win

2Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	3	0%	0.54	11.3
Dust2	2	50%	0.75	14.5
Mirage	2	100%	1.04	20.5
Nuke	1	0%	0.62	8.0

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.

15.3%Headshot accuracy

39.4%Accuracy (enemy spotted)

40.8%Spray accuracy

87.6%Counter-strafing

11.0°Preaim

681msReaction time

32.8%T opening success

54.9%CT opening success

0.47Enemies flashed / flash

4.6%Flash assists

5.65HE damage / grenade

5.96Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4705 — below the 0.5 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 32.8378% — below the 40% mark we flag

Spend your practice time on Ancient

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	12–12	-0.12	9%	24 Aug →
mirage	13–11	0.01	16%	9 Aug →
cache	13–9	0.01	8%	9 Aug →
nuke	13–3	-0.02	20%	8 Aug →
mirage	8–13	0.08	6%	8 Aug →
mirage	2–13	-0.06	9%	3 Aug →
mirage	1–13	-0.01	19%	3 Aug →
anubis	9–13	-0.04	25%	1 Aug →
cache	13–9	0.08	15%	29 Jul →
mirage	12–16	0.06	12%	27 Jul →
ancient	9–13	0.12	12%	27 Jul →
dust2	8–13	0.05	20%	27 Jul →
ancient	10–13	0.11	12%	25 Jul →
anubis	13–11	-0.00	13%	24 Jul →
mirage	13–5	0.08	12%	24 Jul →
nuke	13–10	0.09	26%	23 Jul →
fachwerk	8–13	0.09	15%	21 Jul →
ancient	13–6	-0.01	16%	21 Jul →
anubis	5–13	-0.03	21%	21 Jul →
ancient	11–13	0.09	20%	20 Jul →
dust2	14–16	0.08	22%	20 Jul →
dust2	6–13	0.04	13%	20 Jul →
anubis	6–13	-0.01	17%	20 Jul →
fachwerk	13–4	0.10	22%	20 Jul →
cache	5–13	0.01	11%	18 Jul →
fachwerk	13–11	0.11	16%	17 Jul →
dust2	13–11	-0.03	11%	17 Jul →
dust2	10–13	-0.02	10%	17 Jul →
shelter	13–9	0.02	20%	16 Jul →
mirage	13–16	0.05	11%	15 Jul →
inferno	13–10	-0.05	11%	15 Jul →
fachwerk	8–13	-0.09	11%	15 Jul →
fachwerk	9–13	-0.01	21%	14 Jul →
dust2	16–14	0.01	17%	13 Jul →
fachwerk	10–13	0.10	19%	13 Jul →
cache	7–13	-0.01	12%	13 Jul →
fachwerk	11–13	-0.00	7%	13 Jul →
fachwerk	4–13	0.01	25%	13 Jul →
mirage	7–13	-0.06	29%	12 Jul →
mirage	5–6	0.02	13%	12 Jul →
shelter	8–13	-0.03	20%	12 Jul →
mirage	13–10	0.06	22%	11 Jul →
fachwerk	8–13	-0.02	10%	11 Jul →
inferno	13–9	-0.08	18%	10 Jul →
nuke	6–13	0.06	7%	10 Jul →
dust2	13–5	0.04	8%	10 Jul →
shelter	9–13	0.06	21%	10 Jul →
mirage	8–13	-0.02	26%	10 Jul →
shelter	12–12	0.01	13%	10 Jul →
mirage	11–13	-0.03	8%	9 Jul →
dust2	10–13	0.00	10%	9 Jul →
dust2	4–13	0.03	21%	9 Jul →
nuke	13–11	0.10	9%	9 Jul →
cache	13–10	-0.00	18%	8 Jul →
train	12–12	-0.02	17%	7 Jul →
mirage	13–7	-0.04	26%	6 Jul →
ancient	13–10	0.04	13%	6 Jul →
cache	12–12	-0.02	21%	5 Jul →
alpine	6–13	-0.06	15%	5 Jul →
cache	13–11	-0.07	16%	4 Jul →
inferno	13–11	-0.02	17%	3 Jul →
dust2	3–13	0.04	18%	3 Jul →
dust2	8–13	0.02	14%	2 Jul →
dust2	10–13	0.00	12%	2 Jul →
inferno	13–1	0.25	29%	2 Jul →
dust2	13–11	-0.05	15%	1 Jul →
dust2	9–13	0.05	13%	1 Jul →
mirage	16–13	-0.01	9%	1 Jul →
dust2	13–8	-0.03	17%	1 Jul →
nuke	9–13	0.01	13%	1 Jul →
ancient	9–13	-0.01	16%	1 Jul →
ancient	2–13	-0.03	10%	1 Jul →
mirage	9–13	0.03	23%	1 Jul →
ancient	10–13	0.09	23%	1 Jul →
mirage	7–13	-0.04	17%	1 Jul →
anubis	13–5	0.01	15%	1 Jul →
mirage	16–14	0.01	17%	1 Jul →
anubis	13–10	0.03	14%	30 Jun →
mirage	5–13	-0.13	9%	30 Jun →
mirage	13–8	0.03	9%	30 Jun →
mirage	7–13	-0.05	6%	30 Jun →
ancient	11–13	0.04	24%	29 Jun →
dust2	10–13	-0.04	30%	29 Jun →
mirage	14–16	-0.04	8%	29 Jun →
ancient	5–13	-0.08	24%	28 Jun →
ancient	13–6	-0.07	20%	28 Jun →
inferno	5–13	-0.01	23%	28 Jun →
inferno	15–15	0.01	24%	27 Jun →
anubis	13–10	0.02	14%	27 Jun →
mirage	8–13	-0.04	16%	26 Jun →
mirage	6–13	-0.07	11%	26 Jun →
ancient	11–13	-0.02	15%	26 Jun →
inferno	3–13	-0.05	22%	26 Jun →
mirage	13–7	0.05	15%	26 Jun →
inferno	13–6	0.03	25%	25 Jun →
dust2	10–13	0.04	32%	25 Jun →
nuke	3–0	0.14	29%	25 Jun →
ancient	5–12	0.06	12%	25 Jun →
mirage	2–13	0.07	5%	25 Jun →
mirage	13–10	-0.01	20%	24 Jun →