¿ — CS2 Stats

76561198064766298[U:1:104500570]

1,292Tracked matches42%Win rate2021Tracked since

3,501Hours in CS1Hrs last 2 wks

CSDB Rating5.7 SolidAggressive Rifler

Premier CS Rating17,697Purple band · top ~17.7% of ranked players (population est.)

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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	Pink band median	vs Pink band
Headshot rate	40.3%	48.1%	7.8% short
Shot accuracy	15.4%	12.9%	above
Kill/death ratio	1.14	1.08	above
Match win rate	46.4%	46.5%	meets

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

Aim72

Positioning47

Utility55

0–100 skill scores via Leetify.

Recent form

COLD42–51–7Last 10042%Win rateLLTLLLLWLL

Last 10 vs previous 10: -60pp win rate · -0.03 avg rating

Player DNA

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

Aim7.2

Aggression6.9

Utility5.5

Positioning4.7

Opening Duels3.2

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 iM 88% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning 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 52% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 552ms 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

Aim7.2

Positioning4.7

Utility5.5

Mechanics7.8

Opening Duels3.2

Win Impact2.4

Composite 5.7/10 (Solid), 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 rating0.01−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time557ms−30ms

first ⅓ avg 587ms → last ⅓ avg 557ms

Headshot accuracy16.9%−5.9%

first ⅓ avg 22.9% → last ⅓ avg 16.9%

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 — mirage 13–2

12–1Biggest win — mirage

5Longest win streak

L2Current streak

9–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

mirageBest map · 61% over 23ancientWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	23	14–9	61%	0.04
nuke	C	21	8–13	38%	0.03
dust2	D	18	5–13	28%	0.01
cache	B	17	9–8	53%	0.02
inferno	C	10	4–6	40%	-0.01
ancient	D	5	0–5	0%	-0.05
anubis	—	4	2–2	50%	0.05
office	—	1	0–1	0%	0.02
train	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

91,983Lifetime kills

1.14K/D · Top 50% of tracked players

4,840Matches

46.4%Match win rate

40.3%Headshot %

15.4%Shot accuracy · Top 50% of tracked players

11,270MVPs

1,988Hours (in match)

5,251Bombs planted

1,633Bombs defused

Most-used weapons

AK-4723,653

M4A4 / M4A1-S13,529

AWP7,019

P2000 / USP-S5,205

Desert Eagle4,370

P2504,290

Glock-184,260

Nova2,722

Galil AR2,483

Five-SeveN2,183

Lifetime map wins

7,888dust2

5,116nuke

3,817inferno

685train

580cbble

491vertigo

414office

110lake

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.

17.0%Headshot accuracy

35.4%Accuracy (enemy spotted)

32.4%Spray accuracy

85.3%Counter-strafing

10.1°Preaim

552msReaction time

33.6%T opening success

52.1%CT opening success

0.54Enemies flashed / flash

5.3%Flash assists

11.64HE damage / grenade

6.06Flashes / 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
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 33.5696% — 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.

0% win rate across 5 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
ancient	1–8	-0.06	16%	19 Aug →
nuke	6–13	0.01	17%	19 Aug →
mirage	12–12	0.05	17%	4 Aug →
dust2	10–13	-0.07	5%	4 Aug →
nuke	11–13	-0.00	20%	2 Aug →
cache	6–13	0.04	23%	2 Aug →
dust2	8–13	0.01	17%	2 Aug →
cache	13–11	-0.02	13%	2 Aug →
ancient	13–16	-0.05	13%	31 Jul →
ancient	11–13	-0.01	16%	31 Jul →
cache	6–13	-0.06	15%	31 Jul →
dust2	13–3	0.02	29%	31 Jul →
cache	13–10	0.08	19%	30 Jul →
nuke	13–8	0.08	15%	30 Jul →
mirage	13–9	-0.01	16%	30 Jul →
cache	0–13	-0.11	23%	30 Jul →
mirage	13–8	0.07	22%	30 Jul →
cache	13–11	0.01	13%	30 Jul →
nuke	13–7	0.05	31%	30 Jul →
anubis	15–15	0.03	13%	30 Jul →
inferno	13–11	-0.02	24%	30 Jul →
inferno	6–13	-0.08	16%	29 Jul →
mirage	12–12	0.11	12%	29 Jul →
nuke	5–13	0.02	24%	29 Jul →
nuke	2–13	-0.04	22%	29 Jul →
dust2	9–13	-0.00	18%	28 Jul →
mirage	13–9	0.03	16%	28 Jul →
mirage	5–13	0.04	13%	28 Jul →
dust2	12–12	0.01	14%	28 Jul →
mirage	13–11	0.03	11%	28 Jul →
mirage	15–15	-0.03	9%	27 Jul →
cache	11–13	0.02	10%	26 Jul →
dust2	13–16	0.03	17%	26 Jul →
inferno	13–8	0.01	20%	26 Jul →
anubis	13–7	0.06	12%	26 Jul →
nuke	10–13	0.06	14%	26 Jul →
anubis	13–6	0.09	20%	24 Jul →
ancient	11–13	-0.08	24%	24 Jul →
mirage	13–7	-0.01	12%	24 Jul →
dust2	16–13	0.00	13%	24 Jul →
mirage	13–8	0.06	14%	24 Jul →
nuke	13–8	0.05	18%	24 Jul →
dust2	13–6	-0.00	17%	24 Jul →
office	7–13	0.02	26%	24 Jul →
cache	11–13	0.09	21%	24 Jul →
dust2	6–13	0.08	19%	24 Jul →
mirage	14–16	0.04	12%	24 Jul →
mirage	12–1	0.06	10%	23 Jul →
nuke	10–13	0.04	23%	23 Jul →
dust2	13–6	0.05	14%	23 Jul →
mirage	13–5	0.08	10%	22 Jul →
nuke	5–13	0.05	22%	21 Jul →
dust2	9–13	0.01	36%	21 Jul →
nuke	8–13	0.04	21%	21 Jul →
inferno	15–15	-0.01	15%	20 Jul →
cache	13–10	0.02	26%	20 Jul →
nuke	13–10	0.05	10%	20 Jul →
inferno	13–5	0.07	31%	20 Jul →
ancient	8–13	-0.06	11%	20 Jul →
nuke	13–9	-0.03	13%	19 Jul →
nuke	13–11	0.02	13%	19 Jul →
cache	5–13	-0.03	29%	19 Jul →
mirage	9–13	0.04	18%	19 Jul →
nuke	5–13	-0.04	5%	19 Jul →
cache	13–11	-0.01	13%	18 Jul →
anubis	10–13	0.04	13%	18 Jul →
inferno	13–16	-0.04	19%	18 Jul →
dust2	10–13	0.01	15%	18 Jul →
nuke	9–13	0.04	28%	18 Jul →
dust2	10–13	0.05	24%	18 Jul →
mirage	16–13	0.01	16%	18 Jul →
cache	13–5	0.10	27%	18 Jul →
cache	9–13	-0.04	16%	17 Jul →
mirage	11–13	0.03	21%	17 Jul →
nuke	11–13	0.01	16%	17 Jul →
mirage	6–13	0.06	23%	17 Jul →
nuke	13–16	-0.04	7%	17 Jul →
mirage	13–2	0.13	21%	17 Jul →
inferno	7–13	0.06	10%	17 Jul →
nuke	13–10	0.09	19%	12 Jul →
dust2	1–13	-0.10	33%	12 Jul →
dust2	10–13	0.05	29%	12 Jul →
mirage	6–13	-0.06	33%	12 Jul →
inferno	6–13	-0.08	9%	12 Jul →
train	11–13	-0.02	27%	12 Jul →
cache	13–4	0.06	14%	12 Jul →
cache	13–2	0.10	37%	12 Jul →
cache	13–9	0.08	25%	11 Jul →
mirage	13–11	0.01	18%	11 Jul →
nuke	11–13	-0.01	19%	11 Jul →
dust2	12–12	0.02	23%	11 Jul →
mirage	13–11	0.05	21%	10 Jul →
dust2	13–2	-0.06	0%	10 Jul →
inferno	4–0	0.00	0%	10 Jul →
mirage	13–10	0.00	22%	10 Jul →
nuke	2–0	0.09	100%	10 Jul →
dust2	2–13	-0.04	16%	10 Jul →
cache	10–13	0.00	27%	10 Jul →
mirage	13–3	0.06	34%	10 Jul →
inferno	4–13	-0.00	23%	9 Jul →