♡ — CS2 Stats

76561198997814510[U:1:1037548782]

1,060Tracked matches55%Win rate2021Tracked since

CSDB Rating5.9 SolidHybrid Rifler

Premier CS Rating20,111Pink band · top ~8.4% of ranked players (population est.)

CSDB Leaderboard#11930 of 30007 tracked

FaceitLevel 5 · 1,169 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim65

Positioning51

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateWWWLLLLLWW

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

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

Aim6.5

Aggression6.0

Utility6.5

Positioning5.1

Opening Duels1.6

Clutch3.4

Strong CT-side openerEffective flashes

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: 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 48% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 611ms 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

Aim6.5

Positioning5.1

Utility6.5

Mechanics6.6

Opening Duels2.2

Win Impact6.7

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time607ms−125ms

first ⅓ avg 732ms → last ⅓ avg 607ms

Headshot accuracy15.9%−8.7%

first ⅓ avg 24.6% → last ⅓ avg 15.9%

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

0.12Best rating — nuke 13–6

13–1Biggest win — mirage

11Longest win streak

W3Current streak

7–9In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 67% over 6anubisWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	23	10–13	43%	-0.01
mirage	B	21	11–10	52%	-0.03
anubis	D	11	3–8	27%	-0.01
inferno	B	10	5–5	50%	-0.01
cache	A	8	5–3	63%	0.02
nuke	C	7	3–4	43%	0.01
ancient	S	6	4–2	67%	0.00
train	—	4	3–1	75%	0.03
vertigo	—	4	2–2	50%	0.01
office	—	3	2–1	67%	-0.02
overpass	—	3	0–3	0%	0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

389Matches

54%Win rate

1.09Avg K/D

76.9ADR

38%Headshot %

Clutches & streaks

37%1v1 clutch win

18%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	34	50%	1.10	15.9
Dust2	21	57%	1.12	15.7
Inferno	19	63%	1.16	15.5
Ancient	18	50%	1.09	14.7
Train	6	50%	1.30	14.5
Anubis	6	50%	1.15	15.8
Nuke	5	20%	0.97	12.8
Overpass	4	0%	0.76	10.5

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.

15.5%Headshot accuracy

34.7%Accuracy (enemy spotted)

35.8%Spray accuracy

79.8%Counter-strafing

9.5°Preaim

611msReaction time

24.8%T opening success

47.6%CT opening success

0.71Enemies flashed / flash

7.3%Flash assists

10.69HE damage / grenade

13.66Flashes / 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 24.8405% — below the 40% mark we flag

Spend your practice time on Anubis

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–7	-0.02	19%	24 Aug →
mirage	13–9	0.08	16%	24 Aug →
mirage	13–1	-0.06	6%	24 Aug →
mirage	4–13	-0.04	29%	24 Aug →
dust2	8–13	-0.08	25%	24 Aug →
dust2	11–13	-0.07	11%	24 Aug →
ancient	9–13	0.04	8%	24 Aug →
mirage	8–13	-0.11	32%	23 Aug →
mirage	16–13	-0.05	16%	23 Aug →
ancient	13–10	-0.04	2%	23 Aug →
inferno	13–4	-0.05	11%	23 Aug →
dust2	15–15	-0.02	15%	23 Aug →
mirage	13–3	-0.04	14%	23 Aug →
cache	13–6	-0.02	21%	23 Aug →
dust2	1–13	-0.05	6%	23 Aug →
cache	13–2	0.06	18%	22 Aug →
mirage	13–11	-0.01	20%	22 Aug →
mirage	13–16	-0.03	15%	22 Aug →
anubis	6–13	-0.05	5%	22 Aug →
dust2	13–9	0.02	20%	22 Aug →
dust2	13–10	0.07	11%	18 Aug →
ancient	13–9	0.11	11%	18 Aug →
inferno	11–13	0.06	16%	16 Aug →
nuke	13–6	0.12	24%	16 Aug →
cache	7–13	-0.01	9%	16 Aug →
inferno	6–13	-0.06	19%	16 Aug →
inferno	9–13	-0.03	13%	16 Aug →
dust2	13–8	0.00	14%	16 Aug →
dust2	13–11	0.07	9%	15 Aug →
nuke	2–13	-0.09	36%	15 Aug →
mirage	13–9	-0.03	24%	15 Aug →
cache	9–13	-0.05	10%	15 Aug →
mirage	13–7	0.05	18%	15 Aug →
anubis	7–13	0.03	11%	15 Aug →
mirage	13–6	-0.06	15%	15 Aug →
cache	13–9	0.05	12%	15 Aug →
inferno	13–7	0.04	12%	15 Aug →
cache	13–8	-0.01	15%	15 Aug →
inferno	13–10	0.07	19%	15 Aug →
anubis	13–7	-0.01	8%	15 Aug →
dust2	13–8	-0.04	24%	15 Aug →
train	13–11	0.08	20%	13 Aug →
train	13–11	0.05	23%	13 Aug →
ancient	13–9	-0.02	38%	1 Aug →
mirage	13–5	-0.02	32%	1 Aug →
anubis	12–12	0.01	21%	22 Jul →
anubis	9–13	0.02	23%	22 Jul →
anubis	0–13	-0.11	12%	3 Jun →
mirage	12–12	-0.01	28%	1 Jun →
anubis	13–5	0.11	9%	27 May →
dust2	14–16	-0.03	15%	26 May →
mirage	16–14	0.01	15%	24 May →
anubis	7–13	-0.02	11%	24 May →
dust2	13–8	-0.02	13%	24 May →
dust2	13–6	-0.02	20%	22 May →
dust2	11–13	-0.01	26%	22 May →
mirage	13–7	-0.02	9%	22 May →
office	13–7	0.02	17%	13 May →
office	13–7	-0.00	13%	13 May →
office	6–13	-0.07	33%	13 May →
cache	13–2	0.09	14%	6 May →
cache	11–13	0.01	16%	6 May →
vertigo	3–1	-0.01	18%	6 May →
mirage	12–12	-0.05	18%	6 May →
train	13–7	0.09	20%	25 Apr →
nuke	10–13	0.03	18%	17 Apr →
vertigo	2–13	-0.02	21%	10 Apr →
vertigo	13–4	0.07	23%	10 Apr →
vertigo	4–13	0.03	22%	10 Apr →
dust2	13–1	-0.02	14%	8 Apr →
dust2	7–13	-0.05	21%	8 Apr →
dust2	13–7	-0.02	3%	8 Apr →
anubis	1–13	-0.09	21%	3 Apr →
anubis	4–13	-0.03	14%	3 Apr →
anubis	13–10	-0.02	11%	3 Apr →
inferno	16–14	-0.04	15%	8 Mar →
dust2	6–13	-0.04	24%	8 Mar →
nuke	11–13	-0.07	7%	18 Feb →
dust2	14–16	-0.01	16%	18 Jan →
overpass	4–9	-0.03	41%	18 Jan →
overpass	8–13	0.00	28%	16 Jan →
overpass	11–13	0.08	24%	16 Jan →
inferno	13–9	0.00	20%	15 Jan →
nuke	5–13	0.02	38%	15 Jan →
inferno	7–13	-0.03	19%	15 Jan →
mirage	0–5	0.05	100%	8 Jan →
train	3–13	-0.09	6%	26 Dec →
ancient	16–13	-0.03	16%	26 Dec →
nuke	13–9	0.02	13%	18 Dec →
dust2	5–13	0.01	19%	17 Dec →
ancient	13–16	-0.04	24%	17 Dec →
dust2	7–13	-0.02	50%	11 Dec →
mirage	9–13	-0.08	18%	9 Dec →
dust2	5–13	0.10	39%	9 Dec →
nuke	13–7	0.03	28%	4 Dec →
mirage	1–13	-0.06	18%	4 Dec →
inferno	2–4	-0.04	63%	4 Dec →
mirage	9–13	-0.04	11%	4 Dec →
mirage	5–13	-0.05	12%	1 Dec →
dust2	8–13	0.01	33%	1 Dec →