Can't Defuse — CS2 Stats

AU76561199121650036[U:1:1161384308]Steam profile ↗✓ No bans

2,514Tracked matches70%Win rate2022Tracked since

CSDB Rating2.9 Learning

Premier CS Rating12,483Blue band · top ~41.7% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim18

Positioning36

Utility43

0–100 skill scores via Leetify.

Recent form

HOT54–39–7Last 10054%Win rateLWWWTWWWWW

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating

Player DNA

Aim1.8

Aggression1.7

Utility4.3

Positioning3.6

Opening Duels0.0

Clutch4.8

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 62% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 643ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 55% 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

Aim1.8

Positioning3.6

Utility4.3

Mechanics1.2

Opening Duels0.0

Win Impact10.0

Composite 2.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time639ms−19ms

first ⅓ avg 658ms → last ⅓ avg 639ms

Headshot accuracy12.2%−0.4%

first ⅓ avg 12.5% → last ⅓ avg 12.2%

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 — mirage 13–2

13–1Biggest win — dust2

5Longest win streak

8–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

mirageBest map · 60% over 15anubisWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	57	33–24	58%	-0.01
mirage	A	15	9–6	60%	-0.00
inferno	C	7	3–4	43%	-0.01
nuke	A	7	4–3	57%	-0.02
ancient	A	5	3–2	60%	0.01
anubis	D	5	1–4	20%	-0.01
cache	—	3	1–2	33%	0.02
boulder	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

6Matches

33%Win rate

1.03Avg K/D

77.0ADR

31%Headshot %

Clutches & streaks

44%1v1 clutch win

33%1v2 clutch win

2Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	3	0%	0.82	11.7
Mirage	2	100%	1.47	19.0
Dust2	1	0%	0.75	12.0

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.

12.5%Headshot accuracy

28.8%Accuracy (enemy spotted)

30.3%Spray accuracy

55.3%Counter-strafing

12.8°Preaim

643msReaction time

16.3%T opening success

27.4%CT opening success

0.55Enemies flashed / flash

1.2%Flash assists

11.42HE damage / grenade

2.61Flashes / 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 12.7939° — 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 12.5209% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.6105 — below the 4 mark we flag
Grenade Lineups →

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.

20% win rate across 5 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	9–13	-0.00	17%	30 Aug →
dust2	13–6	0.02	4%	30 Aug →
dust2	13–7	-0.02	13%	29 Aug →
mirage	13–7	0.04	10%	27 Aug →
dust2	12–12	0.00	13%	27 Aug →
inferno	13–4	-0.05	5%	25 Aug →
mirage	16–12	-0.02	23%	23 Aug →
dust2	13–4	-0.06	16%	23 Aug →
dust2	13–6	0.04	21%	16 Aug →
dust2	13–1	0.04	5%	15 Aug →
dust2	7–13	-0.06	8%	15 Aug →
mirage	13–9	0.02	4%	15 Aug →
ancient	13–8	0.01	11%	15 Aug →
anubis	7–13	-0.04	13%	15 Aug →
nuke	13–10	-0.10	5%	15 Aug →
mirage	5–13	-0.08	8%	15 Aug →
dust2	8–13	-0.03	13%	12 Aug →
dust2	7–13	-0.06	29%	12 Aug →
dust2	13–3	0.02	26%	12 Aug →
mirage	12–12	-0.04	10%	8 Aug →
dust2	13–10	0.02	9%	8 Aug →
dust2	13–8	-0.04	10%	8 Aug →
dust2	8–13	-0.06	19%	5 Aug →
dust2	13–11	0.02	11%	3 Aug →
dust2	13–4	-0.01	14%	2 Aug →
dust2	12–12	0.13	15%	2 Aug →
dust2	13–6	-0.04	4%	2 Aug →
dust2	13–4	0.11	13%	1 Aug →
dust2	7–13	0.03	16%	31 Jul →
ancient	13–7	0.03	7%	31 Jul →
dust2	13–4	0.01	6%	30 Jul →
dust2	9–13	-0.06	7%	30 Jul →
dust2	13–8	-0.03	16%	27 Jul →
dust2	5–13	-0.07	17%	27 Jul →
dust2	16–14	-0.04	9%	26 Jul →
dust2	11–13	-0.08	10%	25 Jul →
dust2	13–4	0.01	17%	25 Jul →
anubis	11–13	0.04	10%	25 Jul →
mirage	11–13	-0.02	7%	25 Jul →
dust2	13–9	-0.00	10%	24 Jul →
mirage	5–13	-0.04	9%	24 Jul →
dust2	13–8	-0.00	10%	24 Jul →
nuke	13–11	-0.02	8%	24 Jul →
dust2	11–13	-0.03	12%	19 Jul →
ancient	13–8	0.03	20%	19 Jul →
cache	13–9	0.05	5%	19 Jul →
mirage	13–2	0.15	19%	18 Jul →
dust2	13–5	-0.02	11%	18 Jul →
dust2	13–11	0.09	13%	14 Jul →
inferno	8–13	-0.02	5%	14 Jul →
dust2	13–5	0.05	14%	12 Jul →
dust2	5–13	-0.05	19%	12 Jul →
cache	6–13	0.04	8%	12 Jul →
nuke	8–13	-0.05	16%	12 Jul →
nuke	4–13	-0.12	5%	11 Jul →
mirage	13–5	0.03	5%	11 Jul →
boulder	6–13	0.00	9%	11 Jul →
inferno	13–5	0.09	6%	11 Jul →
nuke	15–15	0.07	10%	11 Jul →
inferno	8–13	-0.07	4%	11 Jul →
dust2	16–14	-0.01	11%	11 Jul →
dust2	6–13	-0.05	12%	11 Jul →
anubis	5–13	-0.07	16%	11 Jul →
anubis	13–5	0.05	6%	10 Jul →
dust2	13–10	0.02	12%	10 Jul →
dust2	8–13	-0.01	11%	10 Jul →
dust2	13–11	-0.03	17%	8 Jul →
anubis	8–13	-0.04	5%	8 Jul →
dust2	13–8	-0.11	7%	7 Jul →
inferno	13–11	0.04	11%	7 Jul →
dust2	13–7	0.06	14%	6 Jul →
dust2	15–15	0.03	12%	6 Jul →
dust2	5–13	0.01	12%	4 Jul →
dust2	3–13	-0.03	11%	4 Jul →
dust2	12–12	0.02	10%	4 Jul →
dust2	13–6	-0.06	12%	4 Jul →
mirage	13–5	-0.03	6%	4 Jul →
dust2	11–13	-0.03	10%	4 Jul →
dust2	13–9	-0.03	10%	27 Jun →
dust2	13–10	-0.00	25%	27 Jun →
mirage	10–13	0.00	16%	27 Jun →
mirage	13–6	0.02	13%	21 Jun →
nuke	13–2	0.11	18%	21 Jun →
cache	4–13	-0.01	9%	21 Jun →
inferno	12–12	-0.05	12%	20 Jun →
dust2	2–13	-0.03	14%	20 Jun →
dust2	4–13	-0.02	13%	6 Jun →
nuke	13–11	-0.04	8%	6 Jun →
mirage	13–7	-0.03	16%	6 Jun →
ancient	11–13	-0.04	6%	6 Jun →
mirage	5–13	-0.02	12%	6 Jun →
dust2	6–13	-0.04	11%	5 Jun →
dust2	13–9	0.01	13%	5 Jun →
dust2	13–7	0.00	10%	5 Jun →
dust2	13–7	-0.03	16%	3 Jun →
dust2	6–13	-0.01	23%	3 Jun →
ancient	9–13	0.02	13%	3 Jun →
mirage	13–4	-0.06	21%	3 Jun →
dust2	13–8	0.01	20%	2 Jun →
dust2	8–13	-0.04	6%	1 Jun →