entry style — CS2 Stats

76561197978494277[U:1:18228549]Steam profile ↗✓ No bans

2,417Tracked matches52%Win rate2020Tracked since

CSDB Rating5.7 SolidHybrid Rifler

FaceitLevel 8 · 1,734 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim72

Positioning48

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY48–38–14Last 10048%Win rateWLWWWLWLLW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

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

Aim7.2

Aggression5.5

Utility6.3

Positioning4.8

Opening Duels2.0

Clutch4.4

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 NiKo 91% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

T-side openings. Opening success drops from 50% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 582ms 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

Positioning4.8

Utility6.3

Mechanics7.5

Opening Duels2.6

Win Impact5.6

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time597ms−59ms

first ⅓ avg 656ms → last ⅓ avg 597ms

Headshot accuracy23.0%−3.0%

first ⅓ avg 26.0% → last ⅓ avg 23.0%

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 — cache 13–2

13–2Biggest win — anubis

5Longest win streak

2–3In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 64% over 14trainWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	62	28–34	45%	0.01
anubis	A	14	9–5	64%	0.01
inferno	A	14	8–6	57%	0.01
train	D	8	2–6	25%	-0.00
mirage	—	1	1–0	100%	0.05
dust2	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

474Matches

54%Win rate

1.16Avg K/D

77.8ADR

55%Headshot %

Clutches & streaks

42%1v1 clutch win

22%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	40	48%	0.95	15.4
Anubis	18	50%	1.00	14.5
Inferno	18	56%	0.82	13.2
Dust2	16	44%	1.04	16.3
Ancient	15	47%	0.96	14.9
Vertigo	6	17%	0.72	11.7
Cache	4	75%	1.27	17.0
Nuke	3	67%	0.97	17.0

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.

23.9%Headshot accuracy

32.9%Accuracy (enemy spotted)

33.1%Spray accuracy

83.5%Counter-strafing

10.5°Preaim

582msReaction time

25.4%T opening success

50.5%CT opening success

0.52Enemies flashed / flash

6.2%Flash assists

8.02HE damage / grenade

15.07Flashes / 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 25.4419% — below the 40% mark we flag

Spend your practice time on Train

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–9	0.02	19%	28 Aug →
cache	7–13	0.00	30%	28 Aug →
train	13–9	0.00	20%	28 Aug →
anubis	13–9	0.08	17%	28 Aug →
anubis	13–2	-0.01	12%	28 Aug →
cache	0–8	-0.04	32%	28 Aug →
inferno	13–4	0.07	23%	27 Aug →
inferno	11–13	-0.05	24%	27 Aug →
cache	5–13	-0.01	16%	26 Aug →
cache	13–9	-0.08	27%	26 Aug →
cache	13–8	0.01	34%	26 Aug →
train	10–13	0.04	22%	26 Aug →
cache	13–9	0.03	24%	25 Aug →
anubis	13–5	-0.00	20%	25 Aug →
anubis	2–11	0.00	21%	25 Aug →
inferno	12–12	-0.02	38%	25 Aug →
inferno	12–12	-0.02	20%	25 Aug →
train	5–13	-0.02	36%	24 Aug →
cache	4–13	-0.04	29%	24 Aug →
cache	8–13	-0.04	30%	23 Aug →
train	13–3	0.08	32%	22 Aug →
train	5–13	-0.02	25%	22 Aug →
anubis	13–4	-0.02	17%	21 Aug →
cache	13–4	-0.01	25%	20 Aug →
anubis	7–13	0.07	14%	20 Aug →
anubis	13–6	-0.06	23%	20 Aug →
inferno	12–12	0.04	25%	19 Aug →
inferno	3–10	-0.00	22%	11 Aug →
inferno	13–6	-0.00	21%	11 Aug →
train	6–13	-0.07	18%	11 Aug →
inferno	13–9	0.02	27%	11 Aug →
cache	13–5	0.05	8%	11 Aug →
inferno	13–6	0.06	9%	11 Aug →
cache	13–8	-0.02	30%	10 Aug →
cache	13–6	0.10	24%	10 Aug →
cache	12–12	-0.00	28%	10 Aug →
inferno	13–6	0.04	36%	9 Aug →
anubis	12–12	-0.04	33%	8 Aug →
inferno	8–12	-0.03	22%	31 Jul →
inferno	13–7	0.10	24%	31 Jul →
train	3–13	-0.08	25%	27 Jul →
anubis	13–9	0.03	22%	26 Jul →
anubis	5–13	-0.04	4%	25 Jul →
anubis	13–11	-0.00	22%	25 Jul →
cache	13–6	0.02	30%	25 Jul →
inferno	13–5	-0.02	21%	25 Jul →
cache	7–13	-0.06	10%	24 Jul →
anubis	0–4	-0.05	100%	23 Jul →
train	12–12	0.05	25%	23 Jul →
anubis	13–3	0.08	28%	22 Jul →
inferno	13–6	-0.01	19%	22 Jul →
cache	12–12	0.01	30%	22 Jul →
cache	12–12	0.02	19%	22 Jul →
cache	11–13	0.04	19%	21 Jul →
cache	11–13	-0.04	27%	21 Jul →
mirage	13–6	0.05	19%	20 Jul →
cache	13–8	-0.02	12%	20 Jul →
cache	13–4	0.12	28%	20 Jul →
cache	12–12	0.04	17%	20 Jul →
cache	13–8	0.05	35%	19 Jul →
cache	4–13	0.01	38%	18 Jul →
cache	12–12	-0.01	15%	18 Jul →
cache	1–13	-0.07	8%	17 Jul →
cache	13–8	0.04	29%	17 Jul →
cache	13–2	0.02	14%	17 Jul →
cache	3–13	-0.05	16%	17 Jul →
cache	13–2	0.20	43%	15 Jul →
cache	7–13	0.00	21%	15 Jul →
cache	3–9	0.01	8%	14 Jul →
cache	9–13	0.02	38%	13 Jul →
cache	12–12	0.07	31%	13 Jul →
cache	12–12	0.03	33%	12 Jul →
cache	10–13	0.01	42%	11 Jul →
cache	1–5	0.04	44%	11 Jul →
cache	13–9	-0.05	30%	11 Jul →
cache	13–8	0.13	44%	11 Jul →
cache	13–7	-0.01	34%	10 Jul →
cache	9–13	-0.00	18%	9 Jul →
cache	13–5	0.03	12%	9 Jul →
cache	8–13	0.00	25%	9 Jul →
cache	13–9	-0.03	19%	9 Jul →
cache	10–13	-0.02	16%	8 Jul →
cache	6–13	-0.01	13%	8 Jul →
cache	10–13	-0.00	18%	8 Jul →
cache	13–9	0.04	28%	7 Jul →
cache	13–9	0.00	27%	7 Jul →
cache	4–0	0.07	25%	7 Jul →
cache	13–8	-0.04	23%	5 Jul →
cache	13–5	-0.01	26%	5 Jul →
cache	6–13	0.03	21%	5 Jul →
cache	13–7	0.04	22%	4 Jul →
cache	9–13	0.00	31%	4 Jul →
cache	12–12	-0.02	18%	4 Jul →
cache	4–13	-0.06	31%	3 Jul →
cache	13–11	-0.05	15%	2 Jul →
cache	13–6	0.06	43%	2 Jul →
cache	13–3	-0.00	39%	2 Jul →
cache	6–13	-0.00	27%	30 Jun →
cache	12–12	0.01	29%	30 Jun →
dust2	5–13	-0.03	7%	30 Jun →

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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