>< — CS2 Stats

76561198011663861[U:1:51398133]Steam profile ↗

570Tracked matches29%Win rate2023Tracked since

CSDB Rating2.7 Learning

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim24

Positioning34

Utility39

0–100 skill scores via Leetify.

Recent form

COLD37–58–5Last 10037%Win rateLLLLLLLWWL

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

Aim2.4

Aggression0.9

Utility3.9

Positioning3.4

Opening Duels0.0

Clutch6.0

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 61% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower 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

Reaction time. 644ms 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

Aim2.4

Positioning3.4

Utility3.9

Mechanics4.5

Opening Duels0.0

Win Impact0.0

Composite 2.7/10 (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 time643ms+9ms

first ⅓ avg 634ms → last ⅓ avg 643ms

Headshot accuracy15.1%+4.1%

first ⅓ avg 11.0% → last ⅓ avg 15.1%

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 — dust2 13–11

13–2Biggest win — nuke

4Longest win streak

L7Current streak

11–13In matches decided by ≤2 rounds

11Overtime games

Map breakdown

ancientBest map · 45% over 11anubisWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	25	8–17	32%	-0.04
dust2	C	21	8–13	38%	-0.03
inferno	C	16	7–9	44%	-0.03
ancient	B	11	5–6	45%	-0.04
anubis	D	11	3–8	27%	-0.03
nuke	D	10	3–7	30%	-0.04
vertigo	—	4	2–2	50%	-0.04
cache	—	1	1–0	100%	0.04
train	—	1	0–1	0%	-0.09

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

25Matches

32%Win rate

0.59Avg K/D

54.4ADR

36%Headshot %

Clutches & streaks

50%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	7	14%	0.41	6.6
Inferno	5	40%	0.68	10.4
Anubis	4	25%	0.40	5.0
Ancient	4	25%	0.58	8.5
Nuke	3	33%	0.72	11.0
Vertigo	1	100%	1.08	13.0

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.

15.0%Headshot accuracy

24.3%Accuracy (enemy spotted)

25.1%Spray accuracy

70.4%Counter-strafing

11.4°Preaim

644msReaction time

25.2%T opening success

14.6%CT opening success

0.44Enemies flashed / flash

2.8%Flash assists

10.00HE damage / grenade

2.07Flashes / 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 0.439 — below the 0.5 mark we flag
Grenade Lineups →
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 25.1663% — 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
inferno	11–13	-0.06	13%	30 Aug →
inferno	2–13	-0.03	16%	28 Aug →
inferno	14–16	0.01	13%	28 Aug →
mirage	9–13	-0.01	13%	23 Aug →
ancient	10–13	-0.02	15%	23 Aug →
nuke	9–13	-0.05	12%	20 Aug →
dust2	6–13	-0.01	14%	15 Aug →
mirage	13–10	-0.05	9%	10 Aug →
dust2	13–10	-0.02	20%	9 Aug →
mirage	4–13	-0.06	23%	9 Aug →
cache	13–11	0.04	19%	7 Aug →
nuke	7–13	-0.06	14%	5 Aug →
inferno	13–10	-0.07	8%	5 Aug →
mirage	13–8	-0.00	8%	5 Aug →
mirage	9–13	0.00	9%	5 Aug →
dust2	13–11	0.07	22%	4 Aug →
nuke	11–13	-0.03	21%	4 Aug →
mirage	11–13	-0.03	16%	29 Jul →
dust2	3–13	-0.09	13%	29 Jul →
inferno	13–10	-0.05	18%	28 Jul →
mirage	13–6	-0.03	9%	25 Jul →
dust2	10–13	-0.05	11%	25 Jul →
mirage	10–13	-0.06	15%	20 Jun →
dust2	7–13	-0.02	8%	13 Jun →
dust2	12–12	0.00	15%	13 Jun →
mirage	13–16	-0.03	22%	29 Mar →
dust2	12–12	-0.05	10%	28 Mar →
inferno	10–13	-0.09	16%	28 Mar →
inferno	6–13	0.01	22%	31 Aug →
nuke	5–13	-0.09	29%	24 Aug →
dust2	13–3	0.05	20%	24 Aug →
train	3–13	-0.09	11%	24 Aug →
mirage	10–13	-0.10	16%	22 Aug →
dust2	11–13	-0.08	21%	18 Aug →
dust2	8–13	0.00	12%	18 Aug →
mirage	13–10	0.01	9%	18 Aug →
dust2	14–16	-0.08	17%	16 Aug →
dust2	13–9	-0.02	22%	16 Aug →
dust2	11–13	-0.02	14%	16 Aug →
mirage	11–13	-0.13	21%	2 Jul →
vertigo	2–13	-0.06	19%	1 Jul →
nuke	13–5	-0.01	20%	1 Jul →
inferno	13–3	0.05	28%	1 Jul →
mirage	13–9	-0.01	15%	30 Jun →
ancient	14–16	-0.03	11%	29 Jun →
anubis	13–16	0.06	19%	29 Jun →
ancient	13–11	0.03	16%	28 Jun →
nuke	4–13	0.02	17%	28 Jun →
anubis	13–9	-0.05	5%	28 Jun →
inferno	9–13	-0.02	12%	28 Jun →
anubis	15–15	0.03	12%	28 Jun →
mirage	4–13	-0.04	29%	27 Jun →
mirage	7–13	-0.06	6%	27 Jun →
anubis	11–13	-0.04	5%	25 Oct →
inferno	10–13	-0.06	15%	25 Oct →
mirage	13–11	-0.06	13%	12 Oct →
mirage	11–13	-0.06	14%	8 Oct →
mirage	13–16	-0.01	17%	8 Oct →
dust2	3–13	-0.14	3%	8 Oct →
dust2	13–10	0.02	15%	8 Oct →
mirage	6–13	-0.11	15%	8 Oct →
dust2	9–13	-0.02	19%	7 Oct →
dust2	13–7	-0.06	14%	7 Oct →
anubis	13–10	-0.04	14%	7 Oct →
mirage	13–10	-0.03	16%	7 Oct →
dust2	8–13	0.00	9%	7 Oct →
inferno	13–10	-0.05	20%	6 Oct →
mirage	8–13	-0.04	10%	30 Sept →
inferno	13–6	-0.07	18%	29 Sept →
anubis	8–13	-0.03	19%	24 Sept →
anubis	6–13	-0.06	11%	24 Sept →
ancient	3–13	-0.09	15%	22 Sept →
dust2	13–11	-0.02	14%	20 Sept →
anubis	13–11	-0.07	11%	20 Sept →
ancient	13–5	-0.01	8%	18 Sept →
nuke	2–13	-0.07	10%	18 Sept →
inferno	15–15	-0.06	8%	17 Sept →
ancient	0–13	-0.18	17%	16 Sept →
ancient	13–11	-0.02	11%	16 Sept →
vertigo	11–13	-0.06	17%	13 Sept →
nuke	13–11	-0.04	11%	12 Sept →
vertigo	16–13	-0.04	9%	11 Sept →
vertigo	16–14	-0.01	13%	11 Sept →
anubis	15–15	-0.04	10%	10 Sept →
mirage	2–13	-0.08	9%	10 Sept →
ancient	13–10	-0.04	10%	10 Sept →
ancient	11–13	-0.05	6%	9 Sept →
mirage	4–13	-0.11	10%	9 Sept →
dust2	13–6	-0.03	8%	9 Sept →
inferno	13–7	0.04	7%	9 Sept →
nuke	13–2	0.01	5%	8 Sept →
ancient	13–11	-0.05	7%	8 Sept →
mirage	7–13	-0.04	11%	8 Sept →
ancient	2–13	-0.01	10%	8 Sept →
anubis	10–13	-0.06	12%	4 Sept →
nuke	9–13	-0.08	16%	4 Sept →
inferno	10–13	-0.06	4%	4 Sept →
inferno	13–7	0.04	11%	4 Sept →
mirage	13–11	0.01	7%	4 Sept →
anubis	8–13	-0.03	17%	3 Sept →