END — CS2 Stats

76561198238778622[U:1:278512894]

560Tracked matches52%Win rate2020Tracked since

CSDB Rating4.9 DevelopingHybrid Rifler

Premier CS Rating17,940Purple band · top ~16.7% of ranked players (population est.)

FaceitLevel 3 · 1,088 ELOTop 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim76

Positioning45

Utility24

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateWLWLWWLLWW

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.

Aim7.6

Aggression5.9

Utility2.4

Positioning4.5

Opening Duels1.4

Clutch1.6

Limited 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 82% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; 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

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

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

Reaction time. 585ms 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

Aim7.6

Positioning4.5

Utility2.4

Mechanics4.6

Opening Duels1.5

Win Impact5.6

Composite 4.9/10 (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 rating0.02+0.03

first ⅓ avg -0.02 → last ⅓ avg 0.02

Reaction time581ms−29ms

first ⅓ avg 611ms → last ⅓ avg 581ms

Headshot accuracy21.4%+4.2%

first ⅓ avg 17.2% → last ⅓ avg 21.4%

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

0.15Best rating — dust2 13–10

13–0Biggest win — train

8Longest win streak

3–7In matches decided by ≤2 rounds

1Overtime games

Map breakdown

overpassBest map · 80% over 5anubisWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	27	11–16	41%	-0.02
dust2	C	25	11–14	44%	0.00
inferno	S	13	9–4	69%	0.01
cache	A	9	5–4	56%	-0.01
anubis	C	8	3–5	38%	0.00
ancient	B	6	3–3	50%	0.00
overpass	S	5	4–1	80%	0.02
train	—	4	3–1	75%	0.02
nuke	—	3	1–2	33%	-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

49Matches

51%Win rate

1.15Avg K/D

82.5ADR

43%Headshot %

Clutches & streaks

28%1v1 clutch win

26%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	17	71%	1.24	16.9
Dust2	13	46%	1.32	16.1
Ancient	4	25%	1.01	14.0
Anubis	1	0%	1.42	17.0
Nuke	1	100%	1.25	20.0
Train	1	0%	1.14	16.0

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.

20.9%Headshot accuracy

35.2%Accuracy (enemy spotted)

39.3%Spray accuracy

70.6%Counter-strafing

7.3°Preaim

585msReaction time

42.2%T opening success

29.3%CT opening success

0.25Enemies flashed / flash

3.8%Flash assists

10.59HE damage / grenade

2.89Flashes / 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 0.2453 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 29.2876% — 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.

38% win rate across 8 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
cache	13–7	0.01	23%	27 Aug →
cache	11–13	0.01	17%	27 Aug →
cache	11–4	0.01	16%	27 Aug →
cache	11–13	0.14	18%	22 Aug →
cache	13–6	0.00	13%	22 Aug →
cache	13–10	-0.03	21%	22 Aug →
dust2	6–13	-0.06	13%	21 Aug →
mirage	5–13	-0.01	13%	20 Aug →
inferno	13–5	0.09	13%	20 Aug →
overpass	13–9	0.03	18%	20 Aug →
dust2	11–13	0.05	13%	20 Aug →
ancient	8–2	-0.00	25%	19 Aug →
ancient	1–13	-0.06	23%	18 Aug →
dust2	13–3	0.02	16%	18 Aug →
train	13–4	0.09	22%	17 Aug →
anubis	5–13	0.02	30%	17 Aug →
anubis	11–2	0.14	21%	17 Aug →
train	13–0	0.06	22%	17 Aug →
inferno	13–8	0.08	18%	16 Aug →
dust2	13–5	-0.00	26%	16 Aug →
overpass	10–2	0.03	20%	16 Aug →
mirage	2–13	0.00	37%	16 Aug →
cache	11–13	-0.09	26%	16 Aug →
cache	8–13	-0.06	27%	16 Aug →
mirage	7–13	0.00	14%	16 Aug →
dust2	13–10	0.05	24%	16 Aug →
dust2	1–13	-0.07	67%	15 Aug →
mirage	8–13	0.00	12%	15 Aug →
ancient	2–13	0.03	10%	15 Aug →
inferno	12–12	0.04	24%	15 Aug →
mirage	13–8	0.08	24%	12 Aug →
dust2	3–13	0.02	21%	12 Aug →
mirage	13–8	-0.01	19%	12 Aug →
dust2	13–8	-0.00	6%	7 Aug →
dust2	10–13	0.06	19%	7 Aug →
mirage	13–7	0.06	18%	7 Aug →
mirage	5–1	0.02	27%	7 Aug →
mirage	8–13	-0.02	17%	7 Aug →
mirage	9–13	-0.01	21%	5 Aug →
dust2	12–12	-0.04	11%	5 Aug →
mirage	3–13	-0.07	12%	4 Aug →
inferno	13–2	0.15	19%	23 Jul →
mirage	9–13	-0.05	27%	23 Jul →
dust2	13–10	0.15	21%	23 Jul →
inferno	7–13	-0.01	24%	23 Jul →
ancient	13–8	0.05	18%	22 Jul →
dust2	11–13	-0.04	24%	22 Jul →
nuke	9–13	-0.07	14%	20 Jul →
mirage	5–13	-0.09	21%	20 Jul →
mirage	0–13	-0.10	50%	20 Jul →
mirage	7–13	0.03	23%	20 Jul →
mirage	13–0	-0.06	23%	20 Jul →
inferno	13–9	0.01	7%	19 Jul →
dust2	8–13	-0.03	18%	19 Jul →
dust2	6–13	-0.02	25%	19 Jul →
mirage	1–13	-0.06	7%	19 Jul →
mirage	6–13	-0.01	12%	19 Jul →
dust2	13–7	-0.05	16%	19 Jul →
inferno	16–13	-0.00	17%	19 Jul →
inferno	9–13	-0.01	22%	18 Jul →
dust2	10–0	0.02	10%	18 Jul →
dust2	13–3	-0.04	13%	18 Jul →
mirage	13–8	-0.00	21%	18 Jul →
dust2	9–13	0.00	22%	17 Jul →
train	2–13	-0.04	12%	16 Jul →
dust2	12–12	0.06	20%	16 Jul →
mirage	13–6	-0.00	28%	15 Jul →
cache	13–9	-0.07	25%	15 Jul →
overpass	12–12	0.02	28%	14 Jul →
ancient	13–5	0.04	21%	14 Jul →
mirage	8–13	-0.04	8%	12 Jul →
ancient	5–13	-0.03	22%	12 Jul →
mirage	4–13	-0.07	16%	12 Jul →
anubis	10–2	0.03	23%	12 Jul →
nuke	6–13	-0.06	19%	11 Jul →
anubis	1–13	-0.07	17%	11 Jul →
dust2	13–9	0.03	11%	11 Jul →
mirage	12–12	0.04	18%	10 Jul →
inferno	13–10	-0.00	19%	10 Jul →
dust2	8–13	-0.01	8%	10 Jul →
mirage	13–5	-0.00	16%	10 Jul →
inferno	13–9	-0.07	21%	5 Jul →
dust2	11–13	-0.02	23%	5 Jul →
mirage	13–3	-0.00	32%	5 Jul →
inferno	13–11	-0.00	18%	4 Jul →
nuke	13–11	-0.02	16%	4 Jul →
mirage	13–11	-0.09	16%	2 Jul →
anubis	13–9	0.01	21%	28 Jun →
mirage	13–8	0.05	19%	28 Jun →
dust2	13–8	-0.03	8%	28 Jun →
train	13–10	-0.04	23%	28 Jun →
anubis	11–13	-0.00	14%	27 Jun →
overpass	13–8	-0.04	11%	27 Jun →
inferno	13–9	-0.03	3%	27 Jun →
dust2	13–9	0.10	24%	27 Jun →
anubis	2–13	-0.07	19%	27 Jun →
dust2	8–13	-0.07	19%	27 Jun →
anubis	10–13	-0.03	10%	26 Jun →
overpass	13–2	0.04	17%	26 Jun →
inferno	7–13	-0.06	4%	26 Jun →