💎X💎I LOVE Profile Award — CS2 Stats

US76561198091081221[U:1:130815493]Steam profile ↗✓ No bans

722Tracked matches48%Win rate2020Tracked since

4,695Hours in CS

CSDB Rating3.2 Learning

Premier CS Rating3,140Grey band · top ~86.7% of ranked players (population est.)

CSDB Leaderboard#28620 of 36659 tracked

FaceitLevel 1Top 100.0% of ranked FACEIT players

WingmanSilver Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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 2 median	vs Level 2
Headshot rate	34.6%	42.1%	7.5% short
Shot accuracy	16.5%	12.9%	above
Kill/death ratio	0.70	1.00	0.30 short
Match win rate	33.7%	42.9%	9.2% short

This profile matches the typical Level 2 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim33

Positioning33

Utility30

0–100 skill scores via Leetify.

Recent form

COLD37–56–7Last 10037%Win rateTWLWLLTLLT

Last 10 vs previous 10: -40pp win rate · -0.00 avg rating

Player DNA

Aim3.3

Aggression4.4

Utility3.0

Positioning3.3

Opening Duels1.2

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 NiKo 70% playstyle similarity

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

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

T-side openings. Opening success drops from 46% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 704ms 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

Aim3.3

Positioning3.3

Utility3.0

Mechanics5.6

Opening Duels2.0

Win Impact4.4

Composite 3.2/10 (Learning), 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 rating-0.02+0.02

first ⅓ avg -0.04 → last ⅓ avg -0.02

Reaction time697ms−20ms

first ⅓ avg 717ms → last ⅓ avg 697ms

Headshot accuracy10.3%−7.6%

first ⅓ avg 17.9% → last ⅓ avg 10.3%

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

0.12Best rating — nuke 13–5

13–1Biggest win — office

4Longest win streak

5–5In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 53% over 15anubisWeakest map · 0% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	21	7–14	33%	-0.03
office	B	20	10–10	50%	-0.02
nuke	B	15	8–7	53%	0.00
inferno	D	10	3–7	30%	-0.07
dust2	D	10	2–8	20%	-0.04
anubis	D	6	0–6	0%	-0.03
vertigo	C	5	2–3	40%	-0.02
overpass	—	4	1–3	25%	-0.02
ancient	—	3	1–2	33%	0.00
cache	—	2	1–1	50%	-0.06
train	—	2	2–0	100%	0.03
italy	—	2	0–2	0%	0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

162,695Lifetime kills

0.70K/D

13,103Matches

33.7%Match win rate

34.6%Headshot %

16.5%Shot accuracy · Top 25% of tracked players

15,500MVPs

4,695Hours (in match)

4,970Bombs planted

1,536Bombs defused

Most-used weapons

AWP28,034

AK-4724,717

M4A4 / M4A1-S14,681

Desert Eagle10,262

P2000 / USP-S9,599

P907,604

Glock-185,853

MP75,849

Galil AR4,734

Knife4,292

Lifetime map wins

19,927dust2

12,197office

9,881inferno

3,759cbble

3,308nuke

2,845train

933vertigo

730lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

9.9%Headshot accuracy

33.4%Accuracy (enemy spotted)

35.6%Spray accuracy

75.1%Counter-strafing

12.3°Preaim

704msReaction time

24.2%T opening success

45.7%CT opening success

0.37Enemies flashed / flash

1.3%Flash assists

6.59HE damage / grenade

8.23Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.2769° — above the 12° mark we flag
Aim Training →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 9.9288% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 703.5243ms — above the 700ms mark we flag
Aim Training →

Spend your practice time on Anubis

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

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	12–12	-0.06	13%	25 May →
cache	13–5	-0.05	10%	24 May →
anubis	4–13	0.01	10%	21 Apr →
office	13–6	0.06	12%	20 Apr →
inferno	10–13	-0.03	13%	20 Apr →
mirage	9–13	-0.08	11%	20 Apr →
nuke	12–12	-0.05	7%	20 Apr →
vertigo	2–13	-0.12	0%	20 Apr →
dust2	6–13	-0.01	13%	20 Apr →
mirage	12–12	-0.02	17%	20 Apr →
nuke	13–11	-0.06	12%	19 Apr →
office	2–13	-0.06	0%	19 Apr →
office	13–7	-0.05	8%	19 Apr →
inferno	8–8	-0.01	19%	12 Apr →
train	13–10	-0.00	4%	6 Apr →
office	13–6	-0.06	19%	6 Apr →
dust2	13–6	0.04	18%	6 Apr →
nuke	13–10	-0.03	6%	6 Apr →
overpass	3–13	-0.05	4%	6 Apr →
dust2	5–13	-0.04	17%	6 Apr →
mirage	13–6	0.03	13%	6 Apr →
nuke	13–4	0.02	8%	6 Apr →
office	13–5	0.01	3%	6 Apr →
office	7–13	-0.04	9%	6 Apr →
nuke	13–5	0.11	12%	4 Apr →
office	9–13	-0.01	12%	4 Apr →
anubis	11–13	0.02	0%	4 Apr →
mirage	8–13	-0.00	17%	4 Apr →
dust2	5–13	-0.08	16%	4 Apr →
nuke	13–8	0.02	8%	3 Apr →
inferno	8–13	-0.08	5%	2 Apr →
vertigo	13–7	0.03	18%	2 Apr →
office	11–13	0.06	8%	2 Apr →
ancient	6–13	0.05	9%	31 Mar →
train	13–7	0.05	13%	31 Mar →
office	6–13	-0.07	11%	29 Mar →
office	13–1	0.00	29%	29 Mar →
office	6–13	0.02	30%	29 Mar →
italy	7–13	-0.01	10%	23 Mar →
anubis	9–13	-0.05	4%	23 Mar →
mirage	13–9	-0.06	8%	23 Mar →
nuke	5–13	0.03	19%	23 Mar →
office	8–13	-0.08	7%	23 Mar →
vertigo	13–10	0.04	4%	23 Mar →
italy	5–13	0.02	7%	22 Mar →
office	12–12	-0.07	11%	22 Mar →
vertigo	6–13	-0.04	10%	22 Mar →
mirage	2–13	-0.04	13%	22 Mar →
nuke	13–5	0.02	23%	22 Mar →
office	6–13	0.03	13%	22 Mar →
vertigo	11–13	0.00	13%	22 Mar →
nuke	12–12	0.05	11%	21 Mar →
office	13–10	0.04	9%	21 Mar →
nuke	12–16	-0.05	11%	21 Mar →
mirage	9–13	-0.07	14%	20 Mar →
office	13–11	-0.05	24%	19 Mar →
mirage	7–13	-0.03	3%	19 Mar →
mirage	12–16	-0.10	5%	17 Mar →
anubis	15–15	-0.08	18%	16 Mar →
nuke	11–13	-0.09	22%	16 Mar →
overpass	13–7	-0.04	17%	16 Mar →
anubis	9–13	0.01	5%	16 Mar →
overpass	5–13	0.02	13%	11 Mar →
dust2	7–13	-0.05	23%	9 Mar →
mirage	13–5	-0.00	4%	9 Mar →
inferno	13–11	-0.03	15%	9 Mar →
ancient	13–5	0.01	9%	8 Mar →
dust2	6–13	-0.02	27%	8 Mar →
nuke	10–13	-0.03	14%	7 Mar →
office	13–8	0.05	18%	6 Mar →
nuke	13–5	0.12	19%	6 Mar →
anubis	7–13	-0.08	25%	6 Mar →
inferno	6–9	0.02	17%	5 Mar →
inferno	2–9	-0.20	25%	4 Mar →
office	13–8	-0.06	62%	4 Mar →
mirage	9–13	-0.03	19%	4 Mar →
office	3–13	-0.07	14%	3 Mar →
mirage	16–14	-0.00	12%	1 Mar →
mirage	16–12	-0.01	17%	23 Feb →
nuke	13–11	0.03	14%	23 Feb →
mirage	3–13	-0.09	6%	23 Feb →
overpass	9–13	0.01	12%	22 Feb →
mirage	14–16	0.06	24%	22 Feb →
mirage	2–13	-0.08	21%	16 Feb →
ancient	3–13	-0.05	14%	16 Feb →
dust2	4–13	0.01	13%	16 Feb →
dust2	16–13	-0.04	16%	16 Feb →
mirage	13–10	-0.03	15%	15 Feb →
mirage	7–13	-0.03	5%	12 Feb →
dust2	13–16	-0.06	16%	12 Feb →
inferno	13–10	-0.07	16%	12 Feb →
inferno	2–9	-0.12	25%	11 Feb →
office	13–8	0.01	8%	11 Feb →
mirage	9–13	-0.13	11%	11 Feb →
nuke	8–13	-0.08	21%	11 Feb →
inferno	1–9	-0.18	20%	10 Feb →
mirage	2–13	-0.07	23%	10 Feb →
mirage	13–7	0.07	16%	9 Feb →
inferno	13–5	0.04	23%	9 Feb →
dust2	3–13	-0.10	0%	9 Feb →