🌸BOT_XRAY1337🌸 — CS2 Stats

FI76561198877168666[U:1:916902938]Steam profile ↗✓ No bans

3,725Tracked matches45%Win rate2020Tracked since

3,629Hours in CS

CSDB Rating3.9 LearningPositional Player

Premier CS Rating19,734Top 50% of 204,412 CSDB-tracked playersPurple band · top ~9.6% of ranked players (population est.)

CSDB Leaderboard#86583 of 251493 tracked

FaceitLevel 6 · 1,051 ELOTop 54.0% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,734 +3,045 5 Sept – 11 Oct · 16 days played

19,734Peak Premier in tracked matches

1,051Highest Faceit ELO seen on CSDB

28Days played since 2026-08-27

Faceit ELO

At peak — 1,051
Next: Level 6 at 1,201 — 150 to go
Reached: Level 5 · Level 4 · Level 3 · Level 2
Level 5 first seen 2026-09-22
Level 4 first seen 2026-09-22

Premier CS Rating

At peak — 19,734
+1,592 over 30 days · improving
Next: Pink band at 20,000 — 266 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-22
Blue band first seen 2026-09-22

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,110), 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	44.0%	44.8%	45.7%	1.8% short
Shot accuracy	12.9%	12.4%	12.7%	meets
Kill/death ratio	0.89	1.03	1.05	0.16 short
Match win rate	39.9%	45.2%	45.7%	5.8% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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

Aim30

Positioning52

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateLWWLLWLLWL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +2.8pp headshot accuracy · +15ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.04
Avg headshot accuracy 16%
Avg reaction 594ms

Last 10

4–6 · 40% win rate
Avg rating -0.05
Avg headshot accuracy 14%
Avg reaction 604ms

Last 20

10–10 · 50% win rate
Avg rating -0.04
Avg headshot accuracy 13%
Avg reaction 597ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim3.0

Utility4.6

Positioning5.2

Opening Duels1.5

Clutch3.2

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like ZywOo 62% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Reaction time. 600ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.0

Positioning5.2

Utility4.6

Mechanics3.7

Opening Duels4.0

Win Impact3.3

Composite 3.9/10 (Learning), 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-0.03−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time596ms−4ms

first ⅓ avg 600ms → last ⅓ avg 596ms

Headshot accuracy12.0%−2.8%

first ⅓ avg 14.8% → last ⅓ avg 12.0%

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.

Personal bests

0.10Best match rating · 9–4 · inferno, 23 Sept →

29%Best headshot accuracy · 13–6 · nuke, 11 Oct →

359msFastest reaction time · 1–13 · nuke, 28 Sept →

13–1Biggest win · dust2, 9 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak

9–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 60% over 15anubisWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	23	10–13	43%	-0.03
nuke	B	21	11–10	52%	-0.02
ancient	A	15	9–6	60%	-0.04
anubis	C	13	5–8	38%	-0.03
cache	A	11	6–5	55%	-0.04
dust2	A	11	6–5	55%	-0.02
inferno	—	3	2–1	67%	0.01
train	—	1	0–1	0%	-0.04
overpass	—	1	0–1	0%	-0.04
vertigo	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

205,624Lifetime kills

0.89K/D

12,371Matches

39.9%Match win rate

44.0%Headshot %

12.9%Shot accuracy · Top 50% of Level 6 players

27,391MVPs

3,629Hours (in match)

9,029Bombs planted

2,881Bombs defused

Most-used weapons

AK-4762,011

M4A4 / M4A1-S36,002

AWP28,257

Desert Eagle12,404

P2000 / USP-S10,503

Glock-189,572

Galil AR6,541

FAMAS5,161

P2504,627

MP94,250

Lifetime map wins

15,873train

14,870nuke

14,724inferno

7,322vertigo

4,821dust2

3,249cbble

344lake

178safehouse

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

Faceit stats

Combat

1,872Matches

50%Win rate

0.89Avg K/D

77.8ADR

45%Headshot %

Clutches & streaks

36%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	345	52%	0.93	14.7
Nuke	230	57%	0.92	14.8
Ancient	193	47%	0.86	14.9
Inferno	147	50%	0.87	14.1
Dust2	129	40%	0.93	14.9
Anubis	125	46%	0.98	15.8
Train	59	54%	0.89	13.6
Cache	41	49%	0.89	14.5

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.

11.9%Headshot accuracy

28.2%Accuracy (enemy spotted)

29.4%Spray accuracy

66.5%Counter-strafing

11.1°Preaim

600msReaction time

49.3%T opening success

42.6%CT opening success

0.68Enemies flashed / flash

12.4%Flash assists

10.30HE damage / grenade

1.94Flashes / 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.

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 11.9252% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 1.9411 — below the 4 mark we flag
Grenade Lineups →

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.

38% win rate across 13 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
anubis	6–13	-0.08	21%	11 Oct →
nuke	13–6	-0.01	9%	11 Oct →
nuke	13–6	0.05	29%	11 Oct →
ancient	14–16	-0.04	14%	11 Oct →
ancient	10–13	-0.11	8%	11 Oct →
anubis	13–11	-0.03	6%	11 Oct →
ancient	11–13	-0.06	6%	11 Oct →
cache	5–13	-0.08	14%	10 Oct →
ancient	13–8	-0.06	17%	10 Oct →
nuke	6–13	-0.09	17%	9 Oct →
nuke	5–13	-0.08	14%	9 Oct →
mirage	13–5	-0.04	8%	9 Oct →
dust2	13–1	0.05	11%	9 Oct →
cache	13–7	-0.05	9%	9 Oct →
dust2	8–13	-0.06	11%	9 Oct →
dust2	13–6	-0.02	14%	9 Oct →
ancient	13–4	-0.00	15%	8 Oct →
mirage	5–13	-0.06	14%	8 Oct →
nuke	7–13	-0.08	9%	8 Oct →
dust2	13–11	-0.03	9%	8 Oct →
mirage	6–13	-0.00	13%	6 Oct →
dust2	16–12	-0.02	7%	4 Oct →
mirage	5–13	-0.03	11%	3 Oct →
nuke	7–13	-0.05	13%	3 Oct →
ancient	12–12	-0.07	15%	2 Oct →
anubis	13–2	0.03	9%	2 Oct →
nuke	8–13	0.03	11%	2 Oct →
mirage	13–3	0.00	2%	2 Oct →
cache	8–13	-0.05	10%	1 Oct →
nuke	11–13	0.03	14%	1 Oct →
anubis	15–15	0.01	13%	1 Oct →
mirage	13–9	-0.08	15%	1 Oct →
nuke	13–9	-0.03	7%	1 Oct →
cache	13–9	-0.06	12%	1 Oct →
nuke	1–13	-0.08	4%	28 Sept →
ancient	13–4	-0.08	7%	28 Sept →
anubis	7–13	-0.07	16%	28 Sept →
mirage	13–16	-0.09	7%	28 Sept →
mirage	3–13	-0.11	10%	28 Sept →
nuke	13–8	-0.07	10%	28 Sept →
mirage	13–10	-0.01	18%	26 Sept →
dust2	3–13	-0.03	14%	26 Sept →
anubis	11–13	-0.01	15%	26 Sept →
inferno	9–4	0.10	17%	23 Sept →
train	9–13	-0.04	15%	23 Sept →
anubis	9–13	-0.01	17%	23 Sept →
mirage	7–13	0.02	11%	23 Sept →
anubis	13–7	-0.05	0%	22 Sept →
mirage	4–13	-0.01	13%	22 Sept →
anubis	13–11	-0.03	5%	19 Sept →
ancient	5–13	-0.05	17%	19 Sept →
mirage	10–13	-0.02	9%	18 Sept →
cache	7–13	0.01	22%	18 Sept →
mirage	16–14	-0.04	19%	18 Sept →
ancient	5–3	-0.01	23%	17 Sept →
anubis	11–13	-0.02	16%	15 Sept →
mirage	13–8	-0.04	6%	15 Sept →
cache	13–11	-0.09	7%	15 Sept →
mirage	13–5	-0.03	17%	15 Sept →
dust2	13–10	-0.07	15%	15 Sept →
ancient	13–7	-0.07	10%	15 Sept →
nuke	13–5	-0.08	23%	15 Sept →
overpass	2–9	-0.04	15%	15 Sept →
mirage	9–13	-0.06	13%	15 Sept →
dust2	13–10	-0.01	22%	13 Sept →
nuke	9–13	0.02	21%	13 Sept →
dust2	8–13	-0.03	16%	11 Sept →
mirage	13–6	-0.01	6%	11 Sept →
anubis	7–13	-0.05	10%	11 Sept →
nuke	13–4	0.05	27%	11 Sept →
cache	13–7	0.04	18%	11 Sept →
nuke	6–13	-0.07	11%	11 Sept →
nuke	9–5	0.02	12%	11 Sept →
cache	13–11	-0.05	5%	10 Sept →
ancient	13–11	0.03	23%	9 Sept →
cache	9–13	-0.03	28%	9 Sept →
nuke	4–13	-0.02	16%	7 Sept →
nuke	13–10	-0.00	12%	7 Sept →
inferno	13–6	0.02	12%	7 Sept →
mirage	13–7	0.05	14%	7 Sept →
mirage	12–12	-0.04	19%	6 Sept →
dust2	12–12	0.00	13%	6 Sept →
mirage	11–13	0.02	14%	5 Sept →
cache	13–4	-0.01	13%	5 Sept →
inferno	8–13	-0.07	10%	5 Sept →
mirage	13–11	-0.02	16%	5 Sept →
nuke	13–8	0.05	22%	5 Sept →
anubis	13–10	-0.04	7%	5 Sept →
ancient	13–4	-0.06	20%	5 Sept →
mirage	4–13	-0.05	11%	5 Sept →
ancient	14–16	-0.05	11%	31 Aug →
nuke	13–5	-0.01	15%	31 Aug →
vertigo	16–12	-0.03	14%	31 Aug →
ancient	13–9	-0.00	21%	31 Aug →
dust2	15–15	-0.04	14%	30 Aug →
anubis	8–13	-0.05	18%	30 Aug →
cache	4–13	-0.03	10%	30 Aug →
ancient	13–4	0.02	14%	30 Aug →
nuke	13–7	0.02	19%	29 Aug →
mirage	5–13	-0.01	13%	27 Aug →