(_)_):::::::::D~~~~~ — CS2 Stats

76561198837030071[U:1:876764343]

326Tracked matches50%Win rate2024Tracked since

562Hours in CS23Hrs last 2 wks

CSDB Rating6.2 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim84

Positioning54

Utility39

0–100 skill scores via Leetify.

Recent form

COLD49–43–8Last 10049%Win rateLLLLWLLLLW

Last 10 vs previous 10: -30pp win rate · -0.05 avg rating

Player DNA

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

Aim8.4

Aggression5.0

Utility3.9

Positioning5.4

Opening Duels1.2

Clutch0.0

Excellent counter-strafingStrong CT-side openerLimited 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.

Your pro match

Plays most like NiKo 90% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution.

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

Strengths

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.0° off target when enemies appear — placement, not flicking, is the bigger win available.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 44% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms 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

Aim8.4

Positioning5.4

Utility3.9

Mechanics9.0

Opening Duels1.7

Win Impact5.0

Composite 6.2/10 (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 rating0.02+0.02

first ⅓ avg -0.00 → last ⅓ avg 0.02

Reaction time589ms−62ms

first ⅓ avg 651ms → last ⅓ avg 589ms

Headshot accuracy24.5%+6.5%

first ⅓ avg 18.0% → last ⅓ avg 24.5%

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

0.17Best rating — train 13–7

13–1Biggest win — dust2

10Longest win streak

L4Current streak

4–8In matches decided by ≤2 rounds

3Overtime games

Map breakdown

dust2Best map · 70% over 10officeWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	23	11–12	48%	-0.00
office	D	10	2–8	20%	0.00
vertigo	B	10	5–5	50%	-0.01
dust2	S	10	7–3	70%	0.02
cache	D	10	3–7	30%	-0.00
inferno	S	9	6–3	67%	0.02
train	A	9	5–4	56%	0.00
mirage	A	7	4–3	57%	0.04
anubis	C	5	2–3	40%	-0.01
ancient	A	5	3–2	60%	0.02
fachwerk	—	1	0–1	0%	0.05
shelter	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Lifetime stats

17,680Lifetime kills

1.37K/D · Top 10% of tracked players

938Matches

44.5%Match win rate

52.2%Headshot % · Top 25% of tracked players

1.6%Shot accuracy

1,982MVPs

311Hours (in match)

1,185Bombs planted

245Bombs defused

Most-used weapons

AK-474,719

M4A4 / M4A1-S2,675

AWP1,548

Desert Eagle1,060

P2000 / USP-S906

Galil AR729

Glock-18593

SG 553539

MAG-7460

UMP-45349

Lifetime map wins

1,841nuke

1,613dust2

785inferno

484office

462train

329vertigo

46italy

35ar_shoots

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

Faceit stats

Combat

1Matches

0%Win rate

1.00Avg K/D

88.5ADR

56%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

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.

21.4%Headshot accuracy

38.7%Accuracy (enemy spotted)

35.7%Spray accuracy

90.3%Counter-strafing

10.0°Preaim

567msReaction time

25.7%T opening success

43.5%CT opening success

0.49Enemies flashed / flash

3.3%Flash assists

5.53HE damage / grenade

4.77Flashes / 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 0.4918 — 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 25.6642% — 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
anubis	1–4	-0.12	50%	29 Aug →
office	6–13	0.05	21%	29 Aug →
vertigo	2–13	-0.08	10%	29 Aug →
vertigo	0–3	-0.05	0%	29 Aug →
nuke	13–4	0.04	24%	27 Aug →
nuke	11–13	0.08	15%	26 Aug →
dust2	11–13	0.07	22%	26 Aug →
inferno	11–13	0.00	12%	26 Aug →
vertigo	7–13	-0.01	27%	23 Aug →
vertigo	9–1	0.09	39%	23 Aug →
office	12–12	0.08	28%	22 Aug →
mirage	13–7	0.02	12%	21 Aug →
nuke	13–9	0.03	9%	21 Aug →
ancient	13–6	0.04	13%	20 Aug →
vertigo	13–9	0.04	16%	20 Aug →
nuke	7–13	0.02	26%	18 Aug →
mirage	12–12	0.12	24%	18 Aug →
train	13–7	0.17	42%	18 Aug →
office	12–12	0.03	21%	18 Aug →
cache	13–16	0.01	14%	17 Aug →
dust2	6–13	-0.06	15%	17 Aug →
vertigo	12–12	-0.04	14%	16 Aug →
train	3–0	0.02	100%	13 Aug →
train	13–11	-0.02	27%	13 Aug →
cache	13–7	0.01	22%	12 Aug →
inferno	13–3	0.05	20%	12 Aug →
inferno	11–13	-0.01	17%	12 Aug →
vertigo	13–10	-0.08	25%	12 Aug →
ancient	10–13	0.00	22%	11 Aug →
dust2	13–3	0.12	40%	10 Aug →
anubis	8–13	0.00	37%	10 Aug →
cache	1–5	-0.04	20%	10 Aug →
nuke	13–7	-0.04	24%	10 Aug →
cache	12–12	-0.03	14%	8 Aug →
office	13–5	0.03	15%	7 Aug →
nuke	13–8	0.06	34%	7 Aug →
nuke	6–13	-0.04	16%	4 Aug →
vertigo	13–7	-0.01	24%	4 Aug →
vertigo	3–13	0.05	17%	4 Aug →
nuke	7–13	-0.02	26%	4 Aug →
office	1–13	-0.12	8%	3 Aug →
nuke	4–13	-0.13	17%	3 Aug →
nuke	11–13	0.07	30%	30 Jul →
nuke	13–16	-0.05	20%	29 Jul →
vertigo	13–7	-0.00	15%	29 Jul →
cache	10–13	0.02	33%	29 Jul →
mirage	13–10	-0.01	11%	28 Jul →
train	13–8	-0.02	21%	28 Jul →
cache	13–7	0.02	32%	27 Jul →
nuke	1–13	-0.07	25%	26 Jul →
dust2	13–10	0.00	15%	26 Jul →
anubis	13–11	0.04	13%	25 Jul →
inferno	11–13	0.04	23%	25 Jul →
nuke	13–7	0.03	20%	24 Jul →
mirage	10–13	-0.03	14%	23 Jul →
inferno	13–9	0.02	20%	23 Jul →
office	12–12	0.03	39%	23 Jul →
office	9–13	-0.02	32%	23 Jul →
inferno	13–8	0.05	23%	22 Jul →
inferno	13–8	0.05	20%	22 Jul →
anubis	13–10	0.06	16%	21 Jul →
ancient	16–14	-0.04	6%	21 Jul →
inferno	13–3	0.00	18%	20 Jul →
dust2	13–9	0.07	32%	19 Jul →
nuke	13–5	0.05	20%	19 Jul →
inferno	13–5	0.01	21%	15 Jul →
office	13–8	0.01	20%	14 Jul →
nuke	13–8	-0.04	12%	14 Jul →
cache	7–13	0.09	10%	14 Jul →
anubis	3–13	-0.06	32%	14 Jul →
fachwerk	3–13	0.05	20%	14 Jul →
nuke	2–13	-0.07	10%	14 Jul →
office	4–13	-0.05	29%	12 Jul →
dust2	13–6	0.03	22%	12 Jul →
nuke	4–13	0.05	28%	12 Jul →
nuke	3–4	-0.06	17%	12 Jul →
mirage	6–13	0.11	23%	12 Jul →
office	12–12	0.00	12%	12 Jul →
ancient	13–4	0.02	12%	11 Jul →
cache	13–11	0.00	24%	11 Jul →
shelter	13–10	0.03	24%	9 Jul →
train	13–4	0.02	29%	7 Jul →
nuke	13–4	0.04	18%	7 Jul →
nuke	13–8	-0.02	13%	5 Jul →
train	5–13	0.01	19%	5 Jul →
dust2	13–1	0.00	27%	4 Jul →
cache	6–13	0.01	33%	4 Jul →
train	8–13	-0.06	16%	2 Jul →
cache	8–13	-0.12	0%	1 Jul →
nuke	11–13	-0.02	14%	27 Jun →
train	3–13	-0.05	0%	25 Jun →
mirage	13–5	0.00	14%	24 Jun →
train	2–13	-0.05	27%	24 Jun →
dust2	13–6	0.02	13%	24 Jun →
ancient	12–12	0.06	16%	23 Jun →
nuke	13–1	-0.02	13%	23 Jun →
mirage	13–10	0.04	22%	22 Jun →
dust2	13–4	-0.01	8%	22 Jun →
dust2	10–13	-0.06	25%	22 Jun →
nuke	13–5	0.02	18%	22 Jun →