Overkill — CS2 Stats

76561198048052955[U:1:87787227]✓ No bans

1,572Tracked matches43%Win rate2020Tracked since

3,174Hours in CS24Hrs last 2 wks

CSDB Rating4.2 Developing

Premier CS Rating10,000Blue band · top ~54.9% of ranked players (population est.)

CSDB Leaderboard#15607 of 21284 tracked

FaceitLevel 3 · 1,113 ELOTop 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim50

Positioning41

Utility52

0–100 skill scores via Leetify.

Recent form

COLD42–54–4Last 10042%Win rateWLWWLLLLLL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Aim5.0

Aggression5.9

Utility5.2

Positioning4.1

Opening Duels2.5

Clutch3.6

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 83% playstyle similarity

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

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

T-side openings. Opening success drops from 48% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 696ms 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

Aim5.0

Positioning4.1

Utility5.2

Mechanics5.4

Opening Duels2.5

Win Impact2.6

Composite 4.2/10 (Developing), 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 rating0.00+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time695ms−31ms

first ⅓ avg 726ms → last ⅓ avg 695ms

Headshot accuracy22.9%+6.7%

first ⅓ avg 16.2% → last ⅓ avg 22.9%

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

0.16Best rating — ancient 13–6

13–2Biggest win — inferno

5Longest win streak

5–4In matches decided by ≤2 rounds

4Overtime games

Map breakdown

anubisBest map · 56% over 9ancientWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	19	10–9	53%	0.01
dust2	C	18	7–11	39%	-0.02
inferno	C	13	5–8	38%	-0.03
cache	D	12	4–8	33%	-0.03
nuke	B	12	6–6	50%	-0.00
ancient	D	10	3–7	30%	-0.01
anubis	A	9	5–4	56%	0.01
vertigo	—	4	1–3	25%	0.01
train	—	2	1–1	50%	-0.02
overpass	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

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

Lifetime stats

76,598Lifetime kills

0.91K/D

3,832Matches

45.2%Match win rate

42.1%Headshot %

9.3%Shot accuracy

7,548MVPs

1,740Hours (in match)

4,017Bombs planted

979Bombs defused

Most-used weapons

AK-4729,367

M4A4 / M4A1-S12,887

AWP7,951

P2000 / USP-S3,851

P2502,309

Glock-182,105

MAC-101,525

Five-SeveN1,413

Knife1,390

FAMAS1,352

Lifetime map wins

7,583dust2

6,096inferno

3,934nuke

1,264train

545cbble

396office

163vertigo

50lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

196Matches

48%Win rate

0.89Avg K/D

76.6ADR

39%Headshot %

Clutches & streaks

38%1v1 clutch win

20%1v2 clutch win

5Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	68	43%	0.96	15.3
Dust2	33	48%	0.95	15.8
Ancient	29	59%	0.87	13.6
Inferno	20	45%	0.75	13.6
Nuke	18	61%	0.84	12.9
Anubis	13	54%	0.89	14.8
Overpass	3	33%	0.98	17.3
Cache	1	100%	0.86	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.

21.6%Headshot accuracy

32.6%Accuracy (enemy spotted)

35.5%Spray accuracy

74.3%Counter-strafing

11.6°Preaim

696msReaction time

32.0%T opening success

48.0%CT opening success

0.48Enemies flashed / flash

5.2%Flash assists

8.50HE damage / grenade

8.64Flashes / 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 0.476 — 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 32.0465% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	7–10	-0.03	21%	28 Aug →
cache	7–13	-0.08	11%	28 Aug →
ancient	13–6	0.16	20%	28 Aug →
cache	13–4	0.01	23%	27 Aug →
dust2	4–13	-0.01	23%	27 Aug →
anubis	5–13	0.04	18%	27 Aug →
vertigo	7–13	0.04	18%	27 Aug →
overpass	9–13	0.01	22%	27 Aug →
cache	8–13	-0.02	13%	27 Aug →
cache	3–13	-0.06	32%	27 Aug →
inferno	11–13	-0.01	15%	27 Aug →
ancient	5–13	-0.03	17%	27 Aug →
nuke	13–11	0.03	16%	27 Aug →
nuke	13–11	0.07	12%	27 Aug →
mirage	13–9	0.01	16%	27 Aug →
nuke	8–5	0.02	11%	27 Aug →
anubis	6–0	0.16	55%	27 Aug →
mirage	8–13	-0.00	19%	26 Aug →
anubis	7–13	-0.05	13%	26 Aug →
inferno	9–13	-0.04	20%	18 Aug →
dust2	13–3	0.01	20%	18 Aug →
mirage	7–13	0.09	23%	18 Aug →
anubis	13–8	0.05	15%	18 Aug →
inferno	11–13	0.00	11%	17 Aug →
dust2	12–12	-0.06	29%	17 Aug →
cache	5–13	-0.03	27%	17 Aug →
mirage	13–10	-0.02	16%	15 Aug →
mirage	12–12	-0.03	58%	15 Aug →
vertigo	13–6	-0.03	36%	15 Aug →
ancient	6–13	-0.07	44%	14 Aug →
dust2	13–7	0.03	32%	14 Aug →
cache	13–11	-0.02	35%	14 Aug →
dust2	9–13	-0.02	16%	14 Aug →
mirage	11–13	-0.04	13%	14 Aug →
dust2	10–13	-0.06	21%	14 Aug →
mirage	13–6	0.13	18%	14 Aug →
train	13–9	0.06	19%	14 Aug →
inferno	10–1	0.01	46%	14 Aug →
mirage	4–13	-0.03	15%	13 Aug →
mirage	13–11	-0.05	21%	13 Aug →
dust2	3–13	-0.10	57%	13 Aug →
vertigo	7–13	0.04	67%	13 Aug →
nuke	13–10	0.02	38%	13 Aug →
mirage	10–13	-0.02	29%	13 Aug →
train	10–13	-0.09	19%	12 Aug →
dust2	13–8	-0.05	33%	12 Aug →
cache	9–3	-0.04	11%	12 Aug →
cache	4–13	-0.06	29%	12 Aug →
dust2	14–16	-0.07	46%	12 Aug →
mirage	13–5	-0.02	17%	11 Aug →
dust2	9–13	-0.03	22%	11 Aug →
inferno	6–13	-0.09	23%	11 Aug →
ancient	10–13	0.02	12%	8 Aug →
ancient	5–13	-0.04	9%	8 Aug →
inferno	13–9	0.04	13%	8 Aug →
cache	12–12	-0.07	42%	7 Aug →
dust2	13–8	0.06	9%	7 Aug →
nuke	13–6	0.10	12%	7 Aug →
mirage	13–4	0.09	19%	6 Aug →
inferno	13–9	-0.02	9%	6 Aug →
dust2	13–10	-0.04	11%	6 Aug →
anubis	10–13	-0.06	19%	5 Aug →
ancient	13–16	-0.08	14%	5 Aug →
inferno	8–13	-0.05	29%	5 Aug →
mirage	13–3	0.04	12%	5 Aug →
nuke	8–13	-0.04	20%	5 Aug →
cache	4–13	-0.01	17%	5 Aug →
mirage	13–6	-0.04	5%	5 Aug →
inferno	6–13	-0.13	7%	5 Aug →
dust2	7–13	0.03	17%	5 Aug →
dust2	13–9	0.06	14%	5 Aug →
nuke	10–13	0.06	15%	5 Aug →
nuke	8–13	-0.04	28%	5 Aug →
inferno	13–2	0.01	19%	5 Aug →
cache	5–13	-0.01	20%	5 Aug →
anubis	13–7	0.02	15%	5 Aug →
mirage	6–13	-0.02	32%	5 Aug →
mirage	13–9	0.07	15%	5 Aug →
dust2	13–11	0.01	24%	5 Aug →
nuke	7–13	-0.09	14%	5 Aug →
nuke	4–13	-0.07	9%	5 Aug →
dust2	7–13	-0.02	20%	4 Aug →
anubis	11–3	-0.01	19%	4 Aug →
ancient	13–8	-0.03	9%	4 Aug →
nuke	10–13	-0.07	11%	4 Aug →
inferno	6–13	-0.07	14%	4 Aug →
inferno	15–15	-0.04	17%	4 Aug →
mirage	13–8	0.06	21%	4 Aug →
mirage	7–13	0.01	15%	4 Aug →
ancient	8–13	-0.06	9%	4 Aug →
cache	13–9	-0.01	24%	4 Aug →
nuke	13–9	-0.00	6%	4 Aug →
mirage	12–16	-0.02	12%	4 Aug →
inferno	13–5	0.00	8%	31 Jul →
ancient	13–4	0.03	7%	31 Jul →
anubis	4–13	-0.06	11%	31 Jul →
ancient	7–13	0.02	20%	31 Jul →
dust2	7–13	-0.05	7%	31 Jul →
dust2	4–13	-0.02	33%	31 Jul →
vertigo	5–13	-0.01	38%	30 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

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