Logical — CS2 Stats

76561198194908521[U:1:234642793]✓ No bans

1,164Tracked matches43%Win rate2021Tracked since

2,082Hours in CS

CSDB Rating5.4 DevelopingAggressive Rifler

Premier CS Rating17,040Purple band · top ~20.3% of ranked players (population est.)

CSDB Leaderboard#11594 of 20260 tracked

FaceitLevel 6 · 1,101 ELOTop 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim74

Positioning48

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateLWLWLWWWLW

Last 10 vs previous 10: +20pp win rate · -0.00 avg rating

Player DNA

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

Aim7.4

Aggression6.6

Utility6.1

Positioning4.8

Opening Duels1.6

Clutch4.4

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 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: higher opening-fight frequency; 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. 563ms 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

Aim7.4

Positioning4.8

Utility6.1

Mechanics5.9

Opening Duels1.6

Win Impact2.8

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 rating-0.02−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.02

Reaction time562ms−69ms

first ⅓ avg 631ms → last ⅓ avg 562ms

Headshot accuracy12.9%−0.6%

first ⅓ avg 13.6% → last ⅓ avg 12.9%

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

0.18Best rating — mirage 13–6

13–2Biggest win — train

6Longest win streak

7–9In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 83% over 6infernoWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	29	16–13	55%	0.00
dust2	C	15	6–9	40%	-0.01
inferno	C	13	5–8	38%	-0.01
nuke	B	12	6–6	50%	0.00
cache	B	11	5–6	45%	-0.00
ancient	C	10	4–6	40%	-0.01
anubis	S	6	5–1	83%	0.01
train	—	4	3–1	75%	0.03

Across the last 100 tracked matches.

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

Lifetime stats

79,591Lifetime kills

0.77K/D

3,208Matches

40.1%Match win rate

42.7%Headshot %

13.7%Shot accuracy · Top 50% of tracked players

6,061MVPs

2,082Hours (in match)

4,466Bombs planted

1,078Bombs defused

Most-used weapons

AK-4738,972

M4A4 / M4A1-S17,223

AWP4,562

P2000 / USP-S4,369

Glock-182,251

P2501,737

FAMAS1,516

Desert Eagle1,115

UMP-451,090

Tec-91,071

Lifetime map wins

9,507dust2

4,029inferno

2,181nuke

979train

897cbble

469vertigo

65office

17italy

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

Faceit stats

Combat

432Matches

50%Win rate

1.10Avg K/D

75.3ADR

41%Headshot %

Clutches & streaks

42%1v1 clutch win

20%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	79	53%	1.07	15.1
Dust2	58	62%	1.18	15.5
Inferno	40	40%	0.95	13.5
Nuke	36	47%	1.10	14.9
Ancient	23	61%	1.04	15.0
Cache	19	63%	1.23	17.7
Anubis	18	39%	0.87	12.2
Train	6	50%	0.87	14.0

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.

12.5%Headshot accuracy

37.1%Accuracy (enemy spotted)

44.9%Spray accuracy

76.6%Counter-strafing

9.0°Preaim

563msReaction time

30.4%T opening success

42.7%CT opening success

0.60Enemies flashed / flash

5.7%Flash assists

9.38HE damage / grenade

17.88Flashes / 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 12.48% — below the 15% mark we flag
Aim Training →
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 30.3662% — below the 40% mark we flag

Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	9–13	-0.09	3%	28 Aug →
ancient	13–8	0.05	20%	28 Aug →
anubis	9–13	-0.03	7%	25 Aug →
cache	16–14	-0.02	18%	24 Aug →
nuke	7–13	0.03	10%	23 Aug →
train	9–1	0.07	16%	23 Aug →
mirage	13–11	-0.04	9%	23 Aug →
mirage	13–3	-0.03	8%	22 Aug →
dust2	11–13	0.01	10%	21 Aug →
ancient	13–10	-0.05	8%	19 Aug →
inferno	13–11	0.02	18%	19 Aug →
nuke	7–13	0.01	14%	19 Aug →
dust2	9–2	-0.07	25%	19 Aug →
dust2	4–13	-0.00	26%	19 Aug →
ancient	16–13	0.01	7%	19 Aug →
dust2	3–13	-0.10	0%	18 Aug →
mirage	9–13	-0.00	18%	16 Aug →
train	11–13	0.04	15%	16 Aug →
train	13–10	-0.01	16%	16 Aug →
mirage	8–13	-0.02	10%	16 Aug →
nuke	10–13	-0.02	19%	15 Aug →
inferno	7–9	-0.07	16%	15 Aug →
train	13–2	0.02	10%	15 Aug →
mirage	19–17	-0.01	8%	14 Aug →
inferno	8–13	-0.02	6%	14 Aug →
ancient	9–13	-0.05	21%	12 Aug →
dust2	8–13	-0.04	19%	10 Aug →
inferno	10–13	-0.07	10%	10 Aug →
mirage	4–13	0.00	8%	10 Aug →
mirage	13–6	-0.02	19%	9 Aug →
ancient	14–16	-0.04	6%	9 Aug →
mirage	18–22	-0.04	11%	9 Aug →
dust2	16–14	0.01	15%	8 Aug →
cache	13–16	-0.02	13%	7 Aug →
dust2	7–13	0.01	16%	7 Aug →
mirage	13–3	0.02	5%	6 Aug →
dust2	13–4	-0.02	15%	6 Aug →
anubis	13–5	0.04	23%	6 Aug →
mirage	4–13	-0.02	17%	5 Aug →
dust2	6–13	-0.07	19%	2 Aug →
inferno	4–13	-0.06	9%	2 Aug →
ancient	7–13	-0.06	19%	1 Aug →
anubis	13–5	0.04	7%	1 Aug →
ancient	14–16	-0.01	8%	31 Jul →
mirage	13–6	0.04	18%	31 Jul →
cache	7–13	0.01	13%	30 Jul →
mirage	13–6	0.18	12%	29 Jul →
inferno	15–15	0.02	13%	29 Jul →
cache	13–6	0.02	15%	29 Jul →
anubis	13–5	0.01	13%	28 Jul →
mirage	13–7	0.02	11%	28 Jul →
mirage	16–13	0.04	21%	28 Jul →
cache	1–13	-0.02	22%	26 Jul →
nuke	13–5	-0.01	15%	25 Jul →
inferno	11–13	0.05	11%	24 Jul →
cache	13–3	-0.03	9%	23 Jul →
inferno	13–8	0.07	12%	23 Jul →
mirage	13–6	0.06	9%	23 Jul →
nuke	13–8	0.00	8%	23 Jul →
cache	9–13	-0.08	6%	20 Jul →
mirage	5–13	0.01	13%	20 Jul →
anubis	13–9	0.00	18%	20 Jul →
cache	11–13	0.02	8%	19 Jul →
mirage	13–11	0.03	10%	19 Jul →
dust2	9–13	-0.01	18%	19 Jul →
inferno	13–4	0.01	4%	18 Jul →
inferno	13–10	-0.02	13%	18 Jul →
nuke	13–4	-0.01	18%	17 Jul →
mirage	13–10	0.01	8%	17 Jul →
dust2	13–3	0.10	20%	17 Jul →
ancient	13–6	0.06	9%	17 Jul →
mirage	7–13	0.01	7%	17 Jul →
mirage	6–1	0.01	12%	17 Jul →
anubis	13–9	0.00	10%	17 Jul →
dust2	13–7	0.07	22%	17 Jul →
cache	13–5	0.01	14%	17 Jul →
mirage	3–13	0.01	13%	17 Jul →
nuke	16–12	-0.01	18%	17 Jul →
ancient	14–16	-0.05	8%	16 Jul →
mirage	13–7	0.01	18%	16 Jul →
nuke	1–13	-0.02	27%	16 Jul →
nuke	9–13	0.09	16%	16 Jul →
cache	13–7	0.05	12%	16 Jul →
nuke	13–10	-0.02	17%	16 Jul →
mirage	13–8	0.05	19%	16 Jul →
ancient	9–13	0.00	12%	16 Jul →
cache	10–13	0.01	19%	16 Jul →
inferno	13–7	0.06	8%	16 Jul →
mirage	10–13	-0.04	6%	15 Jul →
mirage	11–13	0.03	13%	15 Jul →
nuke	3–13	-0.08	7%	14 Jul →
inferno	8–13	-0.09	20%	14 Jul →
inferno	10–13	-0.02	14%	14 Jul →
dust2	7–13	-0.00	7%	14 Jul →
dust2	9–13	-0.03	9%	14 Jul →
mirage	10–13	-0.08	14%	14 Jul →
dust2	16–13	0.06	20%	14 Jul →
mirage	9–13	0.02	12%	13 Jul →
mirage	13–11	-0.02	9%	13 Jul →
nuke	13–10	0.03	12%	13 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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