Crosshair Al Gaib — CS2 Stats

US76561198000380743[U:1:40115015]Steam profile ↗✓ No bans

765Tracked matches55%Win rate2020Tracked since

612Hours in CS

CSDB Rating3.7 Learning

Ladder ranks via Leetify

Performance scores

Aim28

Positioning34

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateWWWLWWLWTL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Aim2.8

Aggression1.2

Utility5.3

Positioning3.4

Opening Duels0.0

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 68% 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

T-side openings. Opening success drops from 42% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 614ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim2.8

Positioning3.4

Utility5.3

Mechanics3.8

Opening Duels1.5

Win Impact6.7

Composite 3.7/10 (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-0.03−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time625ms−42ms

first ⅓ avg 667ms → last ⅓ avg 625ms

Headshot accuracy14.1%−2.0%

first ⅓ avg 16.2% → last ⅓ avg 14.1%

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 13–6

13–1Biggest win — dust2

5Longest win streak

W3Current streak

11–11In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 62% over 13mirageWeakest map · 45% over 29

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	33	17–16	52%	-0.01
mirage	B	29	13–16	45%	-0.02
inferno	A	13	8–5	62%	-0.03
nuke	B	11	5–6	45%	-0.03
overpass	B	6	3–3	50%	0.01
anubis	—	3	1–2	33%	-0.05
ancient	—	2	2–0	100%	-0.03
train	—	2	2–0	100%	0.02
cache	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (45% over 29). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,753Lifetime kills

0.97K/D

1,257Matches

45.9%Match win rate · Top 50% of tracked players

45.6%Headshot % · Top 50% of tracked players

5.7%Shot accuracy

2,102MVPs

612Hours (in match)

1,092Bombs planted

339Bombs defused

Most-used weapons

AK-475,304

M4A4 / M4A1-S2,954

P901,929

Galil AR1,611

MAC-101,334

FAMAS1,262

XM1014875

Glock-18839

P2000 / USP-S792

P250774

Lifetime map wins

5,528dust2

2,867inferno

1,395nuke

248vertigo

217train

17office

17cbble

15dust

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.7%Headshot accuracy

28.6%Accuracy (enemy spotted)

31.2%Spray accuracy

67.0%Counter-strafing

12.9°Preaim

614msReaction time

14.5%T opening success

42.2%CT opening success

0.58Enemies flashed / flash

9.2%Flash assists

8.80HE damage / grenade

4.20Flashes / 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 12.8538° — 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 13.696% — below the 15% mark we flag
Aim Training →

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

45% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–11	-0.07	19%	11 Aug →
dust2	13–7	-0.05	9%	11 Aug →
cache	13–10	0.01	13%	11 Aug →
dust2	14–16	0.02	12%	4 Aug →
dust2	13–7	0.05	29%	4 Aug →
mirage	13–7	-0.02	9%	18 Jul →
mirage	11–13	-0.02	12%	3 Jul →
inferno	13–5	-0.03	15%	2 Jul →
inferno	15–15	-0.06	12%	19 Jun →
overpass	11–13	0.04	12%	19 Jun →
dust2	6–13	-0.04	8%	19 Jun →
mirage	13–5	0.05	13%	16 Jun →
ancient	13–9	-0.03	11%	11 Jun →
nuke	13–5	-0.06	9%	11 Jun →
mirage	9–13	-0.02	16%	11 Jun →
dust2	13–10	-0.03	13%	1 Jun →
inferno	5–13	-0.07	14%	1 Jun →
anubis	3–13	-0.10	14%	29 May →
mirage	13–16	-0.01	11%	29 May →
dust2	8–13	-0.05	24%	29 May →
mirage	13–11	-0.10	16%	14 Apr →
inferno	4–13	-0.10	13%	14 Apr →
mirage	13–11	-0.06	11%	14 Apr →
dust2	14–16	-0.05	8%	10 Apr →
mirage	13–9	-0.00	5%	10 Apr →
dust2	13–11	-0.03	15%	7 Apr →
overpass	9–13	0.00	18%	7 Apr →
mirage	5–13	-0.08	30%	7 Apr →
dust2	13–5	-0.04	12%	7 Apr →
mirage	13–11	-0.01	16%	7 Apr →
mirage	10–13	-0.04	12%	6 Apr →
mirage	11–13	-0.07	19%	3 Apr →
dust2	10–13	-0.03	19%	3 Apr →
overpass	13–4	0.01	11%	3 Apr →
nuke	13–3	0.05	17%	3 Apr →
mirage	13–9	0.06	12%	3 Apr →
dust2	13–9	-0.01	9%	2 Apr →
inferno	13–8	0.01	20%	2 Apr →
mirage	11–13	-0.06	12%	1 Apr →
mirage	6–13	-0.05	15%	1 Apr →
dust2	13–8	0.02	15%	31 Mar →
mirage	13–6	-0.03	11%	24 Mar →
ancient	13–5	-0.02	13%	24 Mar →
nuke	7–13	-0.06	6%	19 Mar →
inferno	13–4	0.03	33%	13 Mar →
mirage	5–13	-0.05	12%	13 Mar →
nuke	13–10	-0.07	8%	13 Mar →
overpass	16–13	0.06	14%	17 Feb →
dust2	13–9	-0.02	12%	12 Feb →
dust2	7–13	-0.02	4%	12 Feb →
dust2	8–13	-0.02	18%	9 Feb →
dust2	12–16	-0.02	13%	9 Feb →
overpass	13–9	0.01	12%	9 Feb →
mirage	8–13	-0.03	12%	9 Feb →
dust2	13–6	0.07	17%	8 Feb →
inferno	13–7	-0.03	18%	8 Feb →
mirage	14–16	-0.02	8%	5 Feb →
nuke	13–11	-0.04	10%	5 Feb →
nuke	11–13	-0.03	12%	1 Feb →
mirage	13–10	-0.00	6%	1 Feb →
inferno	13–5	-0.03	14%	1 Feb →
dust2	13–11	-0.05	20%	1 Feb →
mirage	10–13	-0.05	14%	1 Feb →
dust2	13–1	0.01	12%	31 Jan →
mirage	13–10	0.01	21%	30 Jan →
inferno	4–13	-0.08	22%	30 Jan →
nuke	4–13	-0.01	18%	30 Jan →
mirage	14–16	-0.01	11%	30 Jan →
anubis	7–13	-0.04	6%	25 Jan →
dust2	13–5	-0.02	3%	25 Jan →
mirage	10–13	0.06	11%	24 Jan →
nuke	6–13	-0.04	14%	23 Jan →
dust2	13–11	-0.05	11%	23 Jan →
nuke	13–5	-0.00	15%	23 Jan →
anubis	13–2	0.01	5%	23 Jan →
nuke	10–13	-0.02	13%	23 Jan →
dust2	7–13	-0.08	17%	23 Jan →
mirage	7–13	-0.00	19%	23 Jan →
inferno	13–2	0.05	40%	23 Jan →
dust2	8–13	-0.02	4%	23 Jan →
nuke	10–13	-0.08	15%	14 Jan →
inferno	7–13	-0.07	20%	14 Jan →
inferno	13–7	-0.00	13%	9 Jan →
mirage	13–6	0.01	13%	9 Jan →
dust2	13–10	-0.02	15%	9 Jan →
dust2	13–11	-0.00	20%	8 Jan →
overpass	11–13	-0.04	15%	8 Jan →
dust2	9–13	-0.04	13%	8 Jan →
dust2	5–13	0.00	26%	8 Jan →
mirage	6–13	-0.07	6%	31 Dec →
dust2	13–11	0.03	24%	23 Dec →
dust2	6–13	-0.04	7%	23 Dec →
dust2	11–13	-0.05	20%	14 Dec →
dust2	9–13	0.05	23%	14 Dec →
train	13–10	-0.01	26%	14 Dec →
train	13–11	0.04	20%	7 Dec →
inferno	13–1	-0.02	0%	7 Dec →
mirage	13–6	0.06	34%	7 Dec →
dust2	10–13	-0.02	26%	7 Dec →
dust2	13–8	0.05	30%	27 Nov →