0 — CS2 Stats

76561197980946500[U:1:20680772]

1,711Tracked matches34%Win rate2020Tracked since

CSDB Rating3.1 Learning

FaceitLevel 1Top 100.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim29

Positioning40

Utility11

0–100 skill scores via Leetify.

Recent form

COLD29–64–7Last 10029%Win rateLTWLLLWLLL

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

Player DNA

Aim2.9

Aggression4.9

Utility1.1

Positioning4.0

Opening Duels0.8

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 70% playstyle similarity

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

Where you differ: lower utility contribution; 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. 760ms 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

Aim2.9

Positioning4.0

Utility1.1

Mechanics7.8

Opening Duels0.8

Win Impact0.0

Composite 3.1/10 (Learning), 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-0.03+0.01

first ⅓ avg -0.04 → last ⅓ avg -0.03

Reaction time745ms−36ms

first ⅓ avg 780ms → last ⅓ avg 745ms

Headshot accuracy14.0%−2.6%

first ⅓ avg 16.6% → last ⅓ avg 14.0%

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

0.07Best rating — nuke 12–12

13–2Biggest win — vertigo

5Longest win streak

1–6In matches decided by ≤2 rounds

2Overtime games

Map breakdown

ancientBest map · 71% over 7infernoWeakest map · 8% over 12

Map	Grade	Played	Record	Win rate	Avg rating
nuke	D	35	9–26	26%	-0.04
inferno	D	12	1–11	8%	-0.06
office	D	11	1–10	9%	-0.04
ancient	S	7	5–2	71%	-0.03
train	A	7	4–3	57%	-0.08
vertigo	B	6	3–3	50%	-0.04
dust2	B	6	3–3	50%	-0.04
overpass	—	4	1–3	25%	-0.00
anubis	—	3	1–2	33%	-0.02
mirage	—	3	1–2	33%	0.01
cache	—	2	0–2	0%	0.01
shelter	—	1	0–1	0%	-0.03
poseidon	—	1	0–1	0%	-0.20
italy	—	1	0–1	0%	-0.05
agency	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (8% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

32Matches

34%Win rate

0.85Avg K/D

—ADR

28%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

2Longest win streak

Recent Faceit resultsWLLLL

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.

12.2%Headshot accuracy

34.1%Accuracy (enemy spotted)

36.9%Spray accuracy

85.2%Counter-strafing

16.0°Preaim

760msReaction time

29.9%T opening success

36.6%CT opening success

0.13Enemies flashed / flash

1.2%Flash assists

4.72HE damage / grenade

0.88Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 16.0304° — above the 12° mark we flag
Aim Training →
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 12.2477% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 760.4331ms — above the 700ms mark we flag
Aim Training →

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.

8% win rate across 12 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
anubis	9–13	-0.08	10%	19 Aug →
nuke	12–12	0.04	15%	19 Aug →
ancient	13–10	-0.00	8%	19 Aug →
mirage	1–12	0.00	7%	18 Aug →
nuke	6–13	-0.04	22%	18 Aug →
cache	2–13	0.03	13%	18 Aug →
nuke	13–6	-0.06	8%	18 Aug →
train	1–13	-0.10	0%	18 Aug →
shelter	6–13	-0.03	17%	18 Aug →
office	8–13	-0.02	8%	18 Aug →
vertigo	3–13	-0.05	5%	18 Aug →
overpass	10–13	-0.00	14%	18 Aug →
poseidon	3–9	-0.20	27%	18 Aug →
mirage	0–8	0.00	0%	21 Jul →
dust2	13–7	0.06	17%	20 Jul →
ancient	13–7	-0.07	3%	20 Jul →
cache	10–13	-0.01	13%	20 Jul →
anubis	16–13	0.06	4%	20 Jul →
dust2	9–13	-0.06	11%	30 Jun →
nuke	11–13	-0.07	6%	21 Jan →
anubis	11–13	-0.04	14%	21 Jan →
nuke	13–10	-0.04	4%	21 Jan →
overpass	13–6	0.01	15%	21 Jan →
inferno	13–5	-0.07	5%	21 Jan →
office	9–13	0.05	33%	20 Jan →
vertigo	13–2	0.03	41%	19 Jan →
ancient	0–13	-0.06	0%	19 Jan →
nuke	8–13	0.04	6%	19 Jan →
nuke	4–13	-0.05	5%	19 Jan →
dust2	7–2	-0.07	100%	19 Jan →
office	4–13	-0.06	16%	19 Jan →
italy	3–13	-0.05	5%	19 Jan →
overpass	3–13	0.01	12%	19 Jan →
inferno	8–13	0.01	15%	19 Jan →
nuke	6–13	-0.01	13%	19 Jan →
ancient	9–13	-0.04	24%	19 Jan →
vertigo	13–4	-0.06	19%	19 Jan →
nuke	7–13	-0.03	8%	18 Jan →
nuke	13–8	0.01	11%	18 Jan →
nuke	7–13	-0.04	21%	18 Jan →
inferno	8–13	-0.03	5%	18 Jan →
train	4–13	-0.11	5%	18 Jan →
office	7–13	-0.08	13%	18 Jan →
inferno	6–13	-0.08	9%	18 Jan →
nuke	7–13	-0.05	13%	18 Jan →
office	7–11	-0.08	0%	17 Jan →
vertigo	1–13	-0.06	21%	17 Jan →
nuke	12–12	-0.13	14%	17 Jan →
inferno	5–13	-0.06	13%	17 Jan →
train	13–8	-0.09	11%	2 Jan →
nuke	13–8	-0.07	12%	2 Jan →
train	12–6	-0.05	11%	2 Jan →
inferno	11–13	-0.11	15%	2 Jan →
train	13–4	-0.09	9%	1 Jan →
ancient	13–2	0.01	12%	1 Jan →
dust2	3–13	-0.07	0%	1 Jan →
nuke	9–13	-0.03	8%	30 Dec →
ancient	13–8	-0.08	3%	30 Dec →
vertigo	13–9	-0.05	16%	30 Dec →
nuke	7–13	-0.02	21%	30 Dec →
office	6–13	-0.04	9%	30 Dec →
agency	7–13	-0.08	21%	30 Dec →
office	13–8	-0.02	5%	30 Dec →
vertigo	5–13	-0.05	9%	30 Dec →
nuke	11–13	-0.03	27%	30 Dec →
train	12–12	-0.03	10%	30 Dec →
inferno	3–9	-0.19	36%	30 Dec →
dust2	4–13	-0.12	31%	29 Dec →
inferno	11–13	-0.06	19%	29 Dec →
nuke	13–5	-0.05	13%	29 Dec →
nuke	12–12	-0.08	8%	29 Dec →
overpass	10–13	-0.03	13%	29 Dec →
inferno	2–13	-0.09	15%	29 Dec →
office	9–13	-0.09	11%	29 Dec →
nuke	7–13	-0.10	38%	26 Dec →
nuke	12–12	0.01	18%	26 Dec →
nuke	13–8	-0.03	5%	26 Dec →
inferno	14–16	0.02	10%	25 Dec →
inferno	6–13	0.03	13%	25 Dec →
nuke	1–13	-0.06	20%	25 Dec →
inferno	8–13	-0.06	17%	24 Dec →
nuke	7–13	0.03	8%	24 Dec →
mirage	13–8	0.02	5%	24 Dec →
ancient	13–5	0.00	10%	24 Dec →
dust2	13–11	0.03	15%	24 Dec →
nuke	13–7	-0.07	17%	24 Dec →
nuke	13–5	-0.04	14%	24 Dec →
office	10–13	0.00	11%	24 Dec →
train	13–3	-0.06	18%	24 Dec →
office	0–13	-0.06	25%	23 Dec →
office	4–13	-0.02	3%	23 Dec →
nuke	4–13	-0.04	17%	23 Dec →
nuke	1–13	-0.04	20%	23 Dec →
nuke	2–13	-0.06	10%	23 Dec →
nuke	13–10	0.03	12%	23 Dec →
nuke	12–12	0.07	19%	22 Dec →
nuke	12–12	-0.04	5%	22 Dec →
nuke	3–13	-0.09	100%	22 Dec →
nuke	2–13	-0.09	0%	22 Dec →
nuke	4–13	-0.10	5%	21 Dec →