xiWuNNy — CS2 Stats

DE76561197998712826[U:1:38447098]Steam profile ↗✓ No bans

1,864Tracked matches52%Win rate2020Tracked since

4,395Hours in CS1Hrs last 2 wks

CSDB Rating5.4 DevelopingHybrid Rifler

Premier CS Rating18,240Purple band · top ~15.5% of ranked players (population est.)

CSDB Leaderboard#23938 of 50149 tracked

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), 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	Purple band median	Pink band median	vs Pink band
Headshot rate	51.9%	44.2%	47.1%	above
Shot accuracy	12.4%	11.6%	12.8%	0.4% short
Kill/death ratio	1.06	1.03	1.08	meets
Match win rate	47.1%	45.2%	46.6%	meets

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim71

Positioning52

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateLWWLLLWWWL

Last 10 vs previous 10: -10pp win rate · -0.04 avg rating

Player DNA

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

Aim7.1

Aggression4.9

Utility4.4

Positioning5.2

Opening Duels1.1

Clutch3.8

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 85% 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

Reaction time. 609ms 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

Aim7.1

Positioning5.2

Utility4.4

Mechanics5.9

Opening Duels1.1

Win Impact5.6

Composite 5.4/10 (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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time612ms−7ms

first ⅓ avg 620ms → last ⅓ avg 612ms

Headshot accuracy20.2%−1.1%

first ⅓ avg 21.3% → last ⅓ avg 20.2%

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

0.20Best rating — poseidon 8–8

13–1Biggest win — anubis

7Longest win streak

11–7In matches decided by ≤2 rounds

5Overtime games

Map breakdown

mirageBest map · 71% over 7cacheWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	22	12–10	55%	0.02
inferno	A	22	13–9	59%	0.00
anubis	C	19	8–11	42%	-0.01
dust2	B	13	7–6	54%	0.00
cache	C	8	3–5	38%	-0.02
mirage	S	7	5–2	71%	0.02
nuke	A	5	3–2	60%	0.05
overpass	—	3	1–2	33%	-0.03
poseidon	—	1	0–1	0%	0.20

Across the last 100 tracked matches.

Lifetime stats

102,455Lifetime kills

1.06K/D · Top 50% of Purple band

4,592Matches

47.1%Match win rate · Top 50% of Purple band

51.9%Headshot % · Top 25% of Purple band

12.4%Shot accuracy · Top 50% of Purple band

14,728MVPs

2,598Hours (in match)

6,265Bombs planted

1,764Bombs defused

Most-used weapons

AK-4735,425

Desert Eagle13,381

AWP12,442

M4A4 / M4A1-S11,229

P2000 / USP-S7,076

Glock-183,358

FAMAS3,279

Knife2,281

MAC-101,966

MP91,734

Lifetime map wins

11,615inferno

7,636dust2

2,358nuke

1,954train

1,254vertigo

767cbble

248office

125italy

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

Faceit stats

Combat

1,491Matches

50%Win rate

1.05Avg K/D

79.0ADR

46%Headshot %

Clutches & streaks

39%1v1 clutch win

22%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	155	53%	1.08	16.9
Inferno	143	51%	1.05	16.5
Dust2	124	52%	1.05	15.6
Ancient	114	46%	1.00	15.6
Anubis	110	45%	1.08	16.7
Vertigo	35	46%	0.99	14.9
Nuke	28	36%	0.96	15.1
Overpass	20	40%	1.06	14.8

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.

20.1%Headshot accuracy

36.2%Accuracy (enemy spotted)

44.9%Spray accuracy

76.4%Counter-strafing

11.3°Preaim

609msReaction time

31.5%T opening success

37.5%CT opening success

0.34Enemies flashed / flash

5.8%Flash assists

13.03HE damage / grenade

5.04Flashes / 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 0.3354 — 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 31.4995% — 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
ancient	7–13	-0.05	21%	16 Aug →
ancient	13–10	0.03	25%	14 Aug →
inferno	13–7	-0.00	21%	14 Aug →
anubis	6–13	-0.03	19%	13 Aug →
dust2	7–13	-0.03	35%	13 Aug →
nuke	8–13	0.00	17%	12 Aug →
nuke	13–11	0.02	14%	12 Aug →
mirage	13–7	-0.03	15%	12 Aug →
dust2	13–7	0.10	12%	12 Aug →
inferno	5–13	-0.06	27%	12 Aug →
cache	5–13	0.06	43%	12 Aug →
anubis	8–13	-0.02	11%	11 Aug →
inferno	13–4	0.15	32%	11 Aug →
anubis	10–13	0.01	21%	11 Aug →
anubis	3–13	-0.06	19%	5 Aug →
mirage	13–3	0.06	14%	5 Aug →
ancient	13–10	0.05	16%	5 Aug →
inferno	16–14	0.00	23%	4 Aug →
cache	13–6	-0.01	16%	4 Aug →
anubis	13–1	0.07	26%	4 Aug →
inferno	7–13	-0.05	17%	3 Aug →
cache	7–13	-0.04	3%	3 Aug →
anubis	7–13	-0.01	19%	29 Jul →
mirage	5–13	-0.03	6%	29 Jul →
anubis	7–13	-0.01	17%	27 Jul →
ancient	13–9	0.02	8%	27 Jul →
inferno	15–15	-0.02	38%	27 Jul →
inferno	13–10	0.01	17%	27 Jul →
dust2	13–3	0.02	29%	26 Jul →
ancient	13–5	0.00	24%	26 Jul →
anubis	11–13	-0.04	24%	26 Jul →
dust2	7–13	-0.03	28%	26 Jul →
ancient	9–13	0.00	11%	24 Jul →
dust2	13–10	-0.03	31%	24 Jul →
inferno	13–11	-0.02	34%	21 Jul →
inferno	14–16	-0.01	33%	20 Jul →
inferno	13–10	-0.05	34%	20 Jul →
anubis	13–7	-0.05	9%	20 Jul →
inferno	13–1	0.05	16%	19 Jul →
mirage	13–11	-0.01	39%	15 Jul →
ancient	7–13	0.05	15%	15 Jul →
ancient	11–13	0.01	17%	13 Jul →
inferno	13–5	0.02	30%	13 Jul →
cache	13–9	-0.05	27%	13 Jul →
cache	13–2	0.01	36%	12 Jul →
ancient	13–10	0.03	25%	12 Jul →
inferno	13–11	-0.02	14%	12 Jul →
anubis	13–7	-0.02	23%	12 Jul →
inferno	13–11	-0.03	27%	12 Jul →
dust2	8–13	-0.04	15%	12 Jul →
anubis	11–13	0.00	24%	12 Jul →
ancient	14–16	-0.01	38%	11 Jul →
dust2	13–7	0.00	26%	11 Jul →
cache	2–13	-0.01	18%	11 Jul →
ancient	13–5	0.05	16%	11 Jul →
inferno	6–13	-0.04	15%	11 Jul →
anubis	4–13	-0.09	18%	11 Jul →
inferno	8–8	0.07	42%	11 Jul →
dust2	2–13	-0.06	24%	11 Jul →
cache	2–13	-0.09	26%	11 Jul →
cache	2–13	-0.05	17%	11 Jul →
ancient	7–13	0.04	31%	11 Jul →
nuke	13–9	0.06	29%	11 Jul →
dust2	13–2	0.09	11%	11 Jul →
dust2	7–13	-0.05	16%	11 Jul →
ancient	13–8	0.08	16%	10 Jul →
poseidon	8–8	0.20	18%	9 Jul →
nuke	3–9	0.03	33%	9 Jul →
inferno	7–9	-0.02	12%	9 Jul →
dust2	7–13	-0.01	30%	9 Jul →
dust2	13–4	0.04	17%	9 Jul →
ancient	11–13	-0.06	12%	9 Jul →
nuke	13–2	0.16	22%	6 Jul →
ancient	16–14	0.04	19%	6 Jul →
anubis	7–13	-0.04	15%	6 Jul →
anubis	13–11	-0.01	28%	3 Jul →
anubis	13–7	0.02	28%	3 Jul →
anubis	13–8	0.01	38%	3 Jul →
ancient	8–13	-0.05	6%	3 Jul →
overpass	13–11	-0.05	15%	3 Jul →
overpass	9–13	-0.02	24%	1 Jul →
inferno	13–8	0.02	30%	1 Jul →
ancient	13–7	0.04	23%	1 Jul →
ancient	13–3	0.12	15%	28 Jun →
ancient	13–9	0.00	19%	24 Jun →
anubis	9–13	0.04	21%	24 Jun →
inferno	8–13	-0.03	31%	24 Jun →
mirage	9–13	-0.03	8%	22 Jun →
anubis	13–4	0.02	20%	22 Jun →
inferno	13–11	0.03	24%	21 Jun →
ancient	6–13	-0.07	12%	21 Jun →
inferno	13–10	0.04	18%	21 Jun →
overpass	4–13	-0.01	29%	21 Jun →
anubis	13–11	0.02	19%	21 Jun →
ancient	8–13	0.01	20%	21 Jun →
mirage	13–10	0.09	27%	19 Jun →
dust2	13–10	-0.01	25%	19 Jun →
mirage	13–5	0.11	26%	18 Jun →
inferno	7–13	-0.04	11%	18 Jun →
ancient	13–7	-0.01	23%	18 Jun →