adam — CS2 Stats

CA76561197960404282[U:1:138554]Steam profile ↗

1,666Tracked matches27%Win rate2020Tracked since

3,483Hours in CS2Hrs last 2 wks

CSDB Rating4.6 DevelopingSupport

Ladder ranks via Leetify

Performance scores

Aim55

Positioning47

Utility70

0–100 skill scores via Leetify.

Recent form

COLD36–55–9Last 10036%Win rateLTLTWLLLLW

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

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim5.5

Aggression4.8

Utility7.0

Positioning4.7

Opening Duels0.9

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 86% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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

Aim5.5

Positioning4.7

Utility7.0

Mechanics5.5

Opening Duels0.9

Win Impact0.0

Composite 4.6/10 (Developing), 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-0.01+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time667ms+2ms

first ⅓ avg 665ms → last ⅓ avg 667ms

Headshot accuracy21.5%+2.3%

first ⅓ avg 19.2% → last ⅓ avg 21.5%

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

0.22Best rating — mirage 5–0

13–3Biggest win — overpass

5Longest win streak

7–5In matches decided by ≤2 rounds

2Overtime games

Map breakdown

overpassBest map · 63% over 8vertigoWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	14	5–9	36%	-0.03
mirage	C	13	5–8	38%	0.00
ancient	D	13	3–10	23%	-0.01
inferno	D	13	4–9	31%	0.00
nuke	D	12	3–9	25%	0.01
train	A	9	5–4	56%	-0.01
overpass	A	8	5–3	63%	0.01
anubis	A	7	4–3	57%	-0.01
vertigo	D	5	1–4	20%	-0.03
dust2	—	3	0–3	0%	0.02
shelter	—	2	1–1	50%	0.01
italy	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

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

Lifetime stats

100,321Lifetime kills

0.99K/D

3,658Matches

47.3%Match win rate · Top 50% of tracked players

52.4%Headshot % · Top 25% of tracked players

15.1%Shot accuracy · Top 50% of tracked players

10,180MVPs

2,240Hours (in match)

7,381Bombs planted

1,281Bombs defused

Most-used weapons

AK-4744,126

M4A4 / M4A1-S20,387

Desert Eagle4,582

Glock-184,018

P2000 / USP-S3,832

Five-SeveN3,319

MAC-103,098

Tec-92,537

P2502,278

AWP1,892

Lifetime map wins

10,425inferno

6,368dust2

4,601train

4,312nuke

1,995cbble

468vertigo

34office

23dust

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

Faceit stats

Combat

73Matches

63%Win rate

1.26Avg K/D

—ADR

51%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

6Longest win streak

Recent Faceit resultsWLWWL

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.

21.7%Headshot accuracy

32.9%Accuracy (enemy spotted)

36.7%Spray accuracy

74.5%Counter-strafing

12.1°Preaim

644msReaction time

33.9%T opening success

33.0%CT opening success

0.69Enemies flashed / flash

7.4%Flash assists

19.04HE damage / grenade

10.07Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.1099° — above the 12° mark we flag
Aim Training →

Spend your practice time on Vertigo

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.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	8–13	-0.00	30%	20 Aug →
cache	12–12	0.06	20%	20 Aug →
vertigo	1–13	-0.05	15%	20 Aug →
ancient	15–15	-0.09	28%	13 Aug →
train	13–8	0.01	20%	10 Aug →
inferno	8–13	0.04	16%	10 Aug →
train	5–13	-0.01	23%	9 Aug →
vertigo	7–13	-0.07	22%	9 Aug →
mirage	7–13	-0.10	20%	9 Aug →
overpass	13–11	0.04	17%	9 Aug →
shelter	13–5	0.02	16%	9 Aug →
ancient	7–13	-0.05	15%	9 Aug →
cache	2–13	-0.05	19%	9 Aug →
dust2	4–13	-0.05	31%	8 Aug →
inferno	7–13	-0.05	11%	8 Aug →
cache	13–11	-0.03	19%	8 Aug →
nuke	12–12	0.11	26%	7 Aug →
mirage	13–9	0.03	20%	7 Aug →
ancient	2–13	-0.06	21%	7 Aug →
overpass	12–12	-0.02	14%	6 Aug →
cache	8–1	-0.02	55%	6 Aug →
vertigo	4–13	-0.03	19%	30 Jul →
overpass	8–13	0.06	26%	30 Jul →
mirage	7–13	0.03	18%	30 Jul →
cache	10–13	-0.03	22%	26 Jul →
inferno	13–4	0.04	34%	26 Jul →
mirage	9–13	0.00	12%	26 Jul →
ancient	9–13	0.00	27%	26 Jul →
anubis	9–13	-0.01	17%	24 Jul →
ancient	9–13	0.01	38%	24 Jul →
nuke	6–13	-0.03	24%	24 Jul →
mirage	12–12	-0.05	12%	23 Jul →
dust2	8–13	0.04	5%	23 Jul →
anubis	12–12	0.02	16%	23 Jul →
anubis	13–10	0.00	13%	22 Jul →
cache	10–13	-0.01	20%	22 Jul →
inferno	7–13	-0.04	29%	21 Jul →
train	11–13	-0.03	23%	21 Jul →
anubis	10–1	-0.05	23%	21 Jul →
mirage	13–8	0.04	28%	21 Jul →
inferno	6–13	0.02	20%	19 Jul →
cache	5–13	-0.06	28%	19 Jul →
ancient	13–8	0.02	29%	19 Jul →
anubis	13–6	-0.03	34%	19 Jul →
cache	13–4	-0.07	15%	19 Jul →
train	13–11	0.02	29%	17 Jul →
mirage	16–14	-0.00	27%	17 Jul →
nuke	3–13	0.01	23%	13 Jul →
cache	1–13	-0.07	29%	13 Jul →
overpass	13–3	0.12	15%	13 Jul →
cache	3–13	-0.08	23%	11 Jul →
train	13–8	0.02	33%	11 Jul →
shelter	10–13	0.00	17%	11 Jul →
italy	9–13	-0.01	11%	4 Jul →
mirage	9–13	-0.06	21%	4 Jul →
nuke	5–13	-0.05	24%	4 Jul →
cache	5–13	-0.05	38%	4 Jul →
inferno	11–13	0.02	16%	4 Jul →
inferno	9–13	0.04	16%	15 Jun →
nuke	12–12	0.03	20%	15 Jun →
cache	13–8	0.06	20%	15 Jun →
mirage	12–12	0.02	19%	14 Jun →
nuke	10–13	-0.02	13%	14 Jun →
inferno	13–11	0.04	23%	14 Jun →
train	13–10	-0.01	12%	13 Jun →
mirage	5–0	0.22	27%	13 Jun →
dust2	10–13	0.06	17%	13 Jun →
inferno	13–8	0.01	11%	13 Jun →
anubis	0–13	-0.08	13%	3 Jun →
mirage	4–13	-0.02	33%	3 Jun →
cache	11–13	-0.06	13%	3 Jun →
ancient	9–13	-0.09	22%	3 Jun →
ancient	10–13	-0.02	21%	31 May →
overpass	12–12	-0.05	13%	30 May →
ancient	10–13	0.04	14%	30 May →
train	6–13	-0.09	14%	24 May →
ancient	6–0	0.02	7%	24 May →
inferno	13–8	-0.03	10%	24 May →
cache	13–11	-0.03	14%	24 May →
nuke	13–6	0.07	26%	21 Jan →
inferno	7–13	-0.01	18%	21 Jan →
ancient	10–2	0.07	19%	21 Jan →
overpass	13–9	-0.02	24%	19 Jan →
nuke	13–5	0.03	44%	19 Jan →
vertigo	2–13	-0.02	26%	19 Jan →
train	13–4	0.01	26%	19 Jan →
nuke	11–13	-0.05	18%	15 Jan →
overpass	13–11	-0.00	24%	14 Jan →
vertigo	13–9	-0.01	13%	14 Jan →
inferno	10–13	-0.00	12%	14 Jan →
ancient	8–13	0.04	28%	14 Jan →
nuke	8–13	-0.03	22%	14 Jan →
nuke	13–8	0.01	15%	13 Jan →
inferno	10–13	-0.02	12%	13 Jan →
train	6–13	-0.01	35%	13 Jan →
mirage	13–6	-0.05	23%	11 Jan →
anubis	13–8	0.06	18%	11 Jan →
ancient	11–13	-0.02	10%	11 Jan →
overpass	13–9	-0.02	16%	11 Jan →
nuke	8–13	0.04	22%	11 Jan →