PoinT_BlanK — CS2 Stats

76561198111263579[U:1:150997851]

2,945Tracked matches57%Win rate2020Tracked since

CSDB Rating3.2 Learning

Premier CS Rating2,941Grey band · top ~87.5% of ranked players (population est.)

CSDB Leaderboard#11952 of 15473 tracked

FaceitLevel 1 · 406 ELOTop 100.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim16

Positioning33

Utility61

0–100 skill scores via Leetify.

Recent form

HOT45–55Last 10045%Win rateLLWWWLWWWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Aim1.6

Aggression3.7

Utility6.1

Positioning3.3

Opening Duels0.0

Clutch2.2

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 72% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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 41% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 733ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.6

Positioning3.3

Utility6.1

Mechanics4.4

Opening Duels1.4

Win Impact7.2

Composite 3.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time730ms−7ms

first ⅓ avg 737ms → last ⅓ avg 730ms

Headshot accuracy13.6%−3.6%

first ⅓ avg 17.1% → last ⅓ avg 13.6%

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 — inferno 13–9

13–1Biggest win — inferno

4Longest win streak

L2Current streak

7–5In matches decided by ≤2 rounds

5Overtime games

Map breakdown

dust2Best map · 53% over 38nukeWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	38	20–18	53%	-0.03
mirage	C	25	10–15	40%	-0.04
inferno	B	14	7–7	50%	-0.00
nuke	D	10	2–8	20%	-0.05
anubis	C	5	2–3	40%	-0.03
cache	—	4	3–1	75%	-0.02
ancient	—	4	1–3	25%	-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

34Matches

50%Win rate

0.63Avg K/D

54.4ADR

28%Headshot %

Clutches & streaks

31%1v1 clutch win

0%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	11	36%	0.61	10.1
Dust2	10	70%	0.64	12.2
Inferno	7	43%	0.70	10.9
Nuke	5	40%	0.60	9.2
Overpass	1	100%	0.53	9.0

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.

13.5%Headshot accuracy

23.5%Accuracy (enemy spotted)

22.2%Spray accuracy

69.7%Counter-strafing

10.1°Preaim

733msReaction time

17.9%T opening success

41.0%CT opening success

0.74Enemies flashed / flash

5.1%Flash assists

13.53HE damage / grenade

4.69Flashes / 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.

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 13.5351% — 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 733.3987ms — above the 700ms mark we flag
Aim Training →
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 17.9329% — below the 40% mark we flag

Spend your practice time on Nuke

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	10–13	-0.09	11%	30 Jul →
dust2	8–13	-0.05	25%	29 Jul →
anubis	13–9	-0.03	24%	29 Jul →
inferno	13–6	-0.09	13%	29 Jul →
dust2	13–10	-0.10	20%	29 Jul →
dust2	5–13	0.01	4%	29 Jul →
mirage	13–7	0.06	17%	29 Jul →
mirage	13–6	-0.01	15%	29 Jul →
mirage	13–6	-0.02	19%	29 Jul →
cache	13–11	-0.03	17%	29 Jul →
dust2	7–13	-0.05	17%	29 Jul →
inferno	13–9	-0.04	25%	28 Jul →
inferno	13–10	-0.06	24%	28 Jul →
nuke	4–13	-0.10	0%	28 Jul →
dust2	0–13	-0.11	18%	28 Jul →
inferno	13–1	-0.02	9%	28 Jul →
mirage	8–13	0.01	14%	28 Jul →
dust2	13–11	-0.03	5%	28 Jul →
mirage	4–13	-0.04	11%	28 Jul →
dust2	16–14	-0.09	9%	27 Jul →
ancient	2–13	-0.08	6%	27 Jul →
nuke	10–13	-0.07	9%	27 Jul →
dust2	13–2	-0.00	20%	27 Jul →
mirage	8–13	-0.03	14%	27 Jul →
dust2	13–10	0.01	0%	26 Jul →
nuke	11–13	-0.07	24%	26 Jul →
anubis	6–13	-0.11	0%	26 Jul →
inferno	13–9	0.12	14%	26 Jul →
dust2	13–6	0.06	12%	26 Jul →
mirage	13–9	0.03	7%	26 Jul →
dust2	13–2	-0.00	30%	26 Jul →
dust2	2–13	-0.10	3%	26 Jul →
anubis	9–13	0.01	14%	26 Jul →
dust2	12–16	-0.04	19%	26 Jul →
cache	11–13	-0.03	26%	26 Jul →
dust2	11–13	-0.06	15%	25 Jul →
inferno	8–13	0.00	9%	25 Jul →
mirage	2–13	-0.10	9%	25 Jul →
mirage	7–13	-0.08	10%	25 Jul →
mirage	7–13	-0.02	14%	25 Jul →
dust2	3–13	-0.04	4%	25 Jul →
dust2	6–13	-0.05	11%	25 Jul →
mirage	8–13	-0.03	15%	25 Jul →
mirage	13–4	-0.10	17%	24 Jul →
ancient	8–13	-0.06	14%	24 Jul →
dust2	13–4	-0.04	8%	24 Jul →
anubis	5–13	-0.05	23%	24 Jul →
dust2	3–13	-0.09	7%	24 Jul →
dust2	13–5	-0.01	23%	24 Jul →
nuke	7–13	-0.03	23%	24 Jul →
mirage	6–13	-0.00	7%	24 Jul →
dust2	13–8	0.05	17%	24 Jul →
inferno	5–13	-0.02	19%	24 Jul →
mirage	13–8	-0.03	7%	24 Jul →
dust2	13–8	0.03	14%	24 Jul →
dust2	13–6	-0.02	17%	24 Jul →
mirage	3–13	-0.12	25%	24 Jul →
mirage	13–1	0.01	21%	24 Jul →
dust2	11–13	-0.07	18%	23 Jul →
inferno	13–7	-0.06	11%	23 Jul →
nuke	13–5	-0.00	11%	23 Jul →
dust2	13–9	0.01	5%	23 Jul →
mirage	9–13	-0.03	14%	23 Jul →
inferno	13–7	0.11	4%	23 Jul →
dust2	13–10	-0.10	14%	23 Jul →
mirage	9–13	-0.05	15%	23 Jul →
cache	16–14	-0.05	13%	23 Jul →
inferno	8–13	-0.06	29%	20 Jul →
cache	13–7	0.01	9%	20 Jul →
nuke	13–6	-0.01	24%	20 Jul →
mirage	13–9	-0.04	10%	20 Jul →
dust2	11–13	0.01	20%	20 Jul →
dust2	12–16	-0.01	21%	20 Jul →
dust2	6–13	-0.13	16%	19 Jul →
mirage	13–5	-0.08	13%	19 Jul →
dust2	10–13	-0.05	8%	19 Jul →
dust2	13–2	0.02	11%	19 Jul →
ancient	8–13	-0.01	16%	19 Jul →
dust2	13–9	0.06	14%	19 Jul →
dust2	13–2	0.09	43%	19 Jul →
mirage	8–13	-0.03	15%	18 Jul →
inferno	6–13	0.04	19%	18 Jul →
mirage	16–14	-0.09	18%	18 Jul →
dust2	5–13	-0.06	16%	18 Jul →
inferno	4–13	0.01	20%	18 Jul →
nuke	6–13	0.03	11%	17 Jul →
dust2	13–10	0.06	16%	17 Jul →
anubis	13–5	0.02	16%	17 Jul →
inferno	8–13	0.03	14%	17 Jul →
inferno	5–13	0.02	15%	17 Jul →
mirage	3–13	-0.04	17%	17 Jul →
dust2	7–13	-0.05	17%	17 Jul →
mirage	5–13	-0.06	24%	17 Jul →
nuke	5–13	-0.07	20%	16 Jul →
dust2	7–13	-0.04	12%	16 Jul →
nuke	8–13	-0.06	20%	16 Jul →
mirage	8–13	0.03	15%	16 Jul →
dust2	13–11	0.02	12%	16 Jul →
ancient	13–2	0.06	17%	16 Jul →
dust2	13–11	-0.02	19%	16 Jul →