blankϟϟ — CS2 Stats

KG76561197989637229[U:1:29371501]Steam profile ↗✓ No bans

3,297Tracked matches63%Win rate2021Tracked since

CSDB Rating6.8 SolidAggressive Rifler

Premier CS Rating18,202Purple band · top ~15.7% of ranked players (population est.)

CSDB Leaderboard#28908 of 61383 tracked

FaceitLevel 7 · 1,434 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim74

Positioning55

Utility72

0–100 skill scores via Leetify.

Recent form

STEADY58–40–2Last 10058%Win rateLLWWLWWWLW

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.4

Aggression8.0

Utility7.2

Positioning5.5

Opening Duels3.6

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 Twistzz 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: higher opening-fight frequency; 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 56% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 596ms 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

Aim7.4

Positioning5.5

Utility7.2

Mechanics7.3

Opening Duels3.6

Win Impact9.4

Composite 6.8/10 (Solid), 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-0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time596ms−86ms

first ⅓ avg 681ms → last ⅓ avg 596ms

Headshot accuracy15.3%−0.2%

first ⅓ avg 15.5% → last ⅓ avg 15.3%

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

0.08Best rating — mirage 13–0

13–0Biggest win — mirage

10Longest win streak

L2Current streak

7–8In matches decided by ≤2 rounds

10Overtime games

Map breakdown

infernoBest map · 87% over 15anubisWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	21	9–12	43%	-0.01
nuke	S	15	11–4	73%	-0.01
inferno	S	15	13–2	87%	0.01
ancient	C	13	5–8	38%	-0.03
mirage	S	13	9–4	69%	-0.01
cache	A	12	7–5	58%	-0.01
anubis	D	10	3–7	30%	-0.01
vertigo	—	1	1–0	100%	-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

475Matches

52%Win rate

0.98Avg K/D

75.9ADR

38%Headshot %

Clutches & streaks

37%1v1 clutch win

19%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	79	42%	0.95	14.3
Inferno	78	54%	0.94	13.7
Dust2	53	58%	0.96	14.7
Nuke	51	47%	1.13	14.9
Anubis	35	63%	1.04	13.7
Ancient	32	56%	0.96	14.7
Cache	21	52%	0.94	15.5
Overpass	9	44%	0.68	9.8

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

35.5%Accuracy (enemy spotted)

38.6%Spray accuracy

82.7%Counter-strafing

8.4°Preaim

596msReaction time

32.7%T opening success

56.3%CT opening success

0.73Enemies flashed / flash

5.1%Flash assists

9.59HE damage / grenade

14.40Flashes / 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 32.7223% — 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.

30% win rate across 10 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
anubis	4–13	-0.02	12%	27 Aug →
ancient	8–13	0.04	13%	27 Aug →
mirage	13–2	0.06	14%	26 Aug →
dust2	13–7	0.02	18%	26 Aug →
dust2	11–13	0.01	22%	26 Aug →
cache	13–9	-0.01	14%	18 Aug →
anubis	13–11	0.00	17%	18 Aug →
vertigo	13–10	-0.05	11%	18 Aug →
dust2	11–13	-0.06	15%	17 Aug →
cache	13–11	0.04	10%	17 Aug →
anubis	13–8	0.08	16%	17 Aug →
ancient	13–9	-0.02	23%	17 Aug →
cache	13–3	0.04	24%	17 Aug →
nuke	10–13	-0.02	18%	16 Aug →
dust2	9–13	0.00	22%	16 Aug →
nuke	13–5	0.01	10%	16 Aug →
nuke	13–7	0.01	12%	16 Aug →
dust2	13–10	-0.02	25%	16 Aug →
ancient	3–13	-0.05	15%	15 Aug →
nuke	13–9	-0.02	17%	15 Aug →
cache	13–2	0.03	14%	15 Aug →
dust2	9–13	0.01	7%	15 Aug →
anubis	8–13	-0.00	17%	14 Aug →
mirage	13–9	0.01	16%	14 Aug →
ancient	12–16	-0.09	22%	14 Aug →
inferno	13–9	0.01	14%	14 Aug →
inferno	13–7	0.02	23%	13 Aug →
dust2	13–7	-0.04	4%	13 Aug →
ancient	13–6	0.00	6%	13 Aug →
dust2	9–13	-0.00	9%	13 Aug →
nuke	11–13	-0.01	9%	13 Aug →
inferno	13–10	-0.05	10%	11 Aug →
nuke	13–4	0.05	27%	11 Aug →
anubis	7–13	0.02	10%	11 Aug →
dust2	8–13	-0.05	10%	11 Aug →
nuke	11–13	-0.08	24%	11 Aug →
mirage	16–14	0.01	17%	11 Aug →
ancient	14–16	0.02	11%	10 Aug →
inferno	13–10	-0.01	30%	10 Aug →
mirage	10–13	-0.05	15%	10 Aug →
nuke	13–7	0.02	14%	10 Aug →
dust2	13–11	0.01	24%	10 Aug →
inferno	13–9	-0.01	14%	10 Aug →
mirage	13–7	-0.02	18%	10 Aug →
cache	5–13	-0.04	24%	10 Aug →
inferno	16–13	0.03	15%	10 Aug →
inferno	16–13	-0.02	12%	6 Aug →
nuke	6–13	-0.06	24%	6 Aug →
ancient	13–6	-0.07	9%	6 Aug →
inferno	9–13	0.06	14%	6 Aug →
anubis	15–15	-0.07	14%	6 Aug →
inferno	4–13	-0.07	22%	6 Aug →
ancient	7–13	-0.06	4%	6 Aug →
dust2	13–3	0.02	14%	6 Aug →
ancient	13–11	-0.03	12%	5 Aug →
nuke	13–7	-0.05	16%	5 Aug →
dust2	7–13	0.03	12%	5 Aug →
inferno	13–9	0.01	16%	5 Aug →
cache	13–4	0.04	22%	5 Aug →
anubis	10–13	-0.01	8%	5 Aug →
ancient	9–7	-0.08	8%	4 Aug →
mirage	13–4	-0.01	17%	4 Aug →
dust2	11–13	-0.00	17%	4 Aug →
inferno	13–6	0.03	32%	4 Aug →
ancient	13–16	-0.03	11%	4 Aug →
mirage	16–13	-0.01	11%	4 Aug →
dust2	11–13	-0.03	14%	4 Aug →
mirage	8–13	-0.03	12%	4 Aug →
anubis	9–13	-0.02	19%	4 Aug →
mirage	4–13	-0.07	15%	3 Aug →
nuke	13–6	0.01	29%	30 Jul →
inferno	13–7	0.02	12%	30 Jul →
mirage	13–5	-0.02	22%	30 Jul →
dust2	13–6	0.02	18%	29 Jul →
ancient	13–10	-0.03	10%	29 Jul →
dust2	16–14	-0.04	18%	29 Jul →
nuke	13–9	-0.01	13%	29 Jul →
inferno	13–9	0.06	16%	29 Jul →
anubis	13–10	0.02	14%	29 Jul →
mirage	13–9	-0.02	17%	29 Jul →
dust2	6–13	-0.04	11%	22 Jul →
ancient	6–13	-0.05	19%	22 Jul →
nuke	13–10	-0.01	14%	22 Jul →
cache	13–7	0.04	17%	22 Jul →
mirage	6–13	-0.05	12%	22 Jul →
cache	9–13	-0.06	3%	21 Jul →
nuke	13–9	0.01	11%	21 Jul →
dust2	13–4	-0.02	12%	21 Jul →
anubis	5–13	-0.06	21%	21 Jul →
dust2	13–7	-0.01	23%	21 Jul →
inferno	13–11	-0.02	21%	21 Jul →
cache	13–10	-0.02	20%	21 Jul →
cache	15–15	0.02	16%	20 Jul →
mirage	13–0	0.08	16%	20 Jul →
cache	5–13	-0.04	11%	20 Jul →
inferno	13–7	0.04	14%	20 Jul →
dust2	10–13	-0.04	17%	20 Jul →
dust2	8–13	0.01	19%	19 Jul →
cache	8–13	-0.10	7%	19 Jul →
nuke	13–7	0.03	15%	19 Jul →