𝖘𝖆𝖉𝖎𝖚𝖘 — CS2 Stats

76561198425591958[U:1:465326230]Steam profile ↗✓ No bans

3,436Tracked matches50%Win rate2020Tracked since

5,482Hours in CS34Hrs last 2 wks

CSDB Rating4.7 Developing

Premier CS Rating17,050Purple band · top ~20.2% of ranked players (population est.)

CSDB Leaderboard#15003 of 26879 tracked

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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	44.1%	44.1%	47.2%	3.1% short
Shot accuracy	14.0%	11.4%	12.7%	above
Kill/death ratio	1.14	1.03	1.09	above
Match win rate	48.9%	45.2%	46.6%	above

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

Widest gap: Headshot rate. 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

Aim50

Positioning49

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY56–43–1Last 10056%Win rateLLLLWWWWLL

Last 10 vs previous 10: -30pp win rate · -0.00 avg rating

Player DNA

Aim5.0

Aggression5.5

Utility6.1

Positioning4.9

Opening Duels2.0

Clutch5.0

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 87% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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. 610ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim5.0

Positioning4.9

Utility6.1

Mechanics4.0

Opening Duels2.0

Win Impact5.0

Composite 4.7/10 (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 time609ms−3ms

first ⅓ avg 613ms → last ⅓ avg 609ms

Headshot accuracy18.5%−2.8%

first ⅓ avg 21.3% → last ⅓ avg 18.5%

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

0.13Best rating — inferno 7–13

13–2Biggest win — cache

6Longest win streak

L4Current streak

7–8In matches decided by ≤2 rounds

4Overtime games

Map breakdown

dust2Best map · 80% over 5nukeWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	28	17–11	61%	0.00
inferno	A	25	15–10	60%	0.02
mirage	C	24	10–14	42%	-0.01
anubis	S	10	7–3	70%	-0.01
nuke	D	5	1–4	20%	-0.02
dust2	S	5	4–1	80%	0.02
cache	—	2	1–1	50%	0.04
overpass	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

180,306Lifetime kills

1.14K/D · Top 50% of Purple band

7,734Matches

48.9%Match win rate · Top 25% of Purple band

44.1%Headshot % · Top 50% of Purple band

14.0%Shot accuracy · Top 50% of Purple band

29,652MVPs

3,858Hours (in match)

6,057Bombs planted

3,646Bombs defused

Most-used weapons

AK-4756,221

AWP26,696

M4A4 / M4A1-S26,693

Desert Eagle17,258

P2000 / USP-S11,603

Glock-187,992

SSG 083,814

MP93,589

Galil AR3,137

MAC-102,515

Lifetime map wins

14,557inferno

5,188dust2

3,939train

3,408nuke

2,316vertigo

1,133cbble

604lake

279office

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

Faceit stats

Combat

414Matches

57%Win rate

1.15Avg K/D

78.8ADR

44%Headshot %

Clutches & streaks

45%1v1 clutch win

28%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	113	58%	1.16	17.6
Ancient	95	58%	1.11	17.2
Inferno	52	58%	1.30	16.0
Anubis	42	62%	1.12	16.2
Dust2	12	33%	0.69	11.0
Train	9	78%	1.07	16.7
Nuke	8	38%	1.03	13.3
Overpass	6	50%	1.28	16.8

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.

18.3%Headshot accuracy

36.4%Accuracy (enemy spotted)

36.6%Spray accuracy

68.1%Counter-strafing

13.5°Preaim

610msReaction time

32.8%T opening success

43.4%CT opening success

0.53Enemies flashed / flash

7.3%Flash assists

7.96HE damage / grenade

11.26Flashes / 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 13.4514° — above the 12° mark we flag
Aim Training →

Spend your practice time on Nuke

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	1–11	-0.03	30%	28 Aug →
nuke	6–13	-0.07	13%	28 Aug →
inferno	11–13	0.05	23%	28 Aug →
anubis	1–13	-0.06	26%	26 Aug →
ancient	13–5	0.07	18%	26 Aug →
inferno	13–7	0.08	21%	26 Aug →
ancient	13–11	0.01	35%	25 Aug →
anubis	13–8	-0.03	11%	25 Aug →
mirage	4–13	0.02	16%	25 Aug →
anubis	10–13	0.00	12%	25 Aug →
inferno	13–8	0.03	13%	25 Aug →
ancient	13–11	0.04	16%	25 Aug →
ancient	10–13	-0.03	11%	25 Aug →
mirage	10–13	0.00	21%	25 Aug →
mirage	13–11	0.06	24%	25 Aug →
mirage	13–7	0.02	20%	24 Aug →
inferno	13–5	-0.02	17%	24 Aug →
ancient	4–13	0.00	28%	24 Aug →
ancient	13–8	-0.02	24%	24 Aug →
inferno	13–4	-0.03	13%	23 Aug →
mirage	5–13	-0.00	26%	23 Aug →
mirage	11–13	0.02	20%	23 Aug →
mirage	13–4	0.02	22%	23 Aug →
inferno	2–11	0.00	7%	22 Aug →
ancient	9–13	-0.04	13%	21 Aug →
anubis	13–9	0.02	8%	21 Aug →
ancient	1–13	-0.06	5%	19 Aug →
inferno	9–13	-0.06	29%	19 Aug →
mirage	13–11	-0.05	17%	19 Aug →
anubis	13–7	-0.01	13%	19 Aug →
ancient	13–4	0.03	22%	19 Aug →
inferno	10–13	-0.01	21%	18 Aug →
dust2	13–4	0.07	18%	18 Aug →
inferno	1–13	-0.08	23%	18 Aug →
inferno	11–13	0.08	24%	18 Aug →
mirage	9–13	-0.00	16%	18 Aug →
anubis	13–9	-0.01	30%	18 Aug →
inferno	13–9	0.05	26%	18 Aug →
dust2	13–8	-0.05	33%	18 Aug →
mirage	2–13	0.07	22%	18 Aug →
ancient	13–6	-0.01	24%	17 Aug →
inferno	7–13	0.13	35%	16 Aug →
mirage	10–13	-0.05	19%	16 Aug →
ancient	13–10	-0.01	19%	14 Aug →
inferno	13–5	0.01	26%	14 Aug →
mirage	13–11	-0.02	41%	12 Aug →
dust2	13–7	0.04	15%	12 Aug →
ancient	13–6	0.02	17%	12 Aug →
mirage	0–4	-0.06	0%	9 Aug →
anubis	11–13	-0.02	24%	9 Aug →
cache	13–2	0.13	19%	9 Aug →
mirage	13–3	-0.03	21%	8 Aug →
ancient	8–13	-0.01	13%	8 Aug →
inferno	12–16	-0.01	10%	6 Aug →
nuke	11–13	-0.03	14%	6 Aug →
inferno	13–9	-0.03	37%	2 Aug →
mirage	13–9	0.01	36%	2 Aug →
inferno	13–11	-0.00	41%	2 Aug →
ancient	13–7	-0.07	20%	2 Aug →
dust2	8–13	-0.02	15%	31 Jul →
nuke	5–13	0.03	34%	31 Jul →
mirage	6–13	-0.04	33%	26 Jul →
ancient	13–5	-0.01	22%	26 Jul →
cache	9–13	-0.04	28%	26 Jul →
ancient	11–13	0.01	28%	26 Jul →
ancient	10–13	0.05	14%	19 Jul →
ancient	13–9	0.01	16%	5 Jul →
nuke	6–13	-0.06	13%	2 Jul →
ancient	11–13	-0.05	19%	2 Jul →
anubis	13–6	-0.03	14%	2 Jul →
ancient	13–8	-0.03	18%	2 Jul →
inferno	13–6	-0.05	9%	2 Jul →
mirage	8–13	0.01	33%	2 Jul →
mirage	13–7	0.00	23%	1 Jul →
inferno	13–6	0.05	20%	1 Jul →
ancient	15–15	0.01	13%	1 Jul →
inferno	13–5	0.03	27%	1 Jul →
mirage	9–13	-0.05	16%	28 Jun →
ancient	13–7	0.05	23%	28 Jun →
inferno	8–13	0.08	13%	28 Jun →
overpass	13–6	0.02	24%	28 Jun →
anubis	13–10	-0.00	29%	28 Jun →
dust2	13–5	0.05	14%	28 Jun →
inferno	13–6	0.11	31%	28 Jun →
inferno	13–10	0.03	31%	28 Jun →
ancient	13–5	0.05	27%	28 Jun →
inferno	14–16	-0.02	17%	28 Jun →
anubis	13–10	0.06	29%	28 Jun →
mirage	13–16	-0.01	32%	28 Jun →
mirage	13–9	-0.04	26%	26 Jun →
inferno	13–10	0.03	40%	26 Jun →
ancient	13–5	0.09	27%	26 Jun →
ancient	13–8	0.00	20%	26 Jun →
mirage	3–13	-0.08	18%	26 Jun →
ancient	0–13	-0.04	25%	26 Jun →
inferno	13–10	0.04	17%	25 Jun →
ancient	13–10	0.01	23%	25 Jun →
mirage	13–11	-0.01	16%	16 Jun →
nuke	13–3	0.01	15%	16 Jun →
ancient	9–13	-0.00	0%	15 Jun →