codoverplayer — CS2 Stats

US76561198427428384[U:1:467162656]Steam profile ↗

132Tracked matches43%Win rate2025Tracked since

109Hours in CS

CSDB Rating2.7 Learning

Ladder ranks via Leetify

Performance scores

Aim27

Positioning30

Utility26

0–100 skill scores via Leetify.

Recent form

STEADY41–54–5Last 10041%Win rateLLWLWWLLWL

Last 10 vs previous 10: -10pp win rate · +0.06 avg rating

Player DNA

Aim2.7

Aggression0.0

Utility2.6

Positioning3.0

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 60% playstyle similarity

Most alike: opening-duel success, 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. 716ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim2.7

Positioning3.0

Utility2.6

Mechanics4.3

Opening Duels0.0

Win Impact2.6

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-0.04+0.00

first ⅓ avg -0.04 → last ⅓ avg -0.04

Reaction time717ms−6ms

first ⅓ avg 723ms → last ⅓ avg 717ms

Headshot accuracy10.7%+1.8%

first ⅓ avg 8.9% → last ⅓ avg 10.7%

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 — inferno 13–0

13–0Biggest win — inferno

4Longest win streak

L2Current streak

7–9In matches decided by ≤2 rounds

5Overtime games

Map breakdown

ancientBest map · 78% over 9dust2Weakest map · 29% over 24

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	24	7–17	29%	-0.05
mirage	B	22	10–12	45%	-0.05
nuke	D	14	4–10	29%	-0.04
inferno	A	11	6–5	55%	-0.02
ancient	S	9	7–2	78%	-0.08
overpass	D	9	3–6	33%	-0.00
train	D	6	2–4	33%	-0.05
vertigo	—	3	1–2	33%	0.00
office	—	2	1–1	50%	0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 24). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

4,123Lifetime kills

0.62K/D

342Matches

31.9%Match win rate

34.1%Headshot %

1.0%Shot accuracy

333MVPs

109Hours (in match)

350Bombs planted

74Bombs defused

Most-used weapons

AK-471,048

M4A4 / M4A1-S821

FAMAS329

AWP313

Galil AR233

P2000 / USP-S221

AUG157

Glock-18151

SG 553131

P90125

Lifetime map wins

518dust2

319inferno

298nuke

143train

105vertigo

44office

24italy

2ar_baggage

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.

10.5%Headshot accuracy

33.9%Accuracy (enemy spotted)

35.4%Spray accuracy

69.5%Counter-strafing

13.3°Preaim

716msReaction time

10.2%T opening success

20.2%CT opening success

0.38Enemies flashed / flash

3.4%Flash assists

10.82HE damage / grenade

6.33Flashes / 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 13.2604° — 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 10.5082% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 716.2297ms — above the 700ms mark we flag
Aim Training →

Spend your practice time on Dust 2

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

29% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	4–13	-0.03	16%	16 May →
office	11–13	0.03	2%	16 May →
office	10–3	0.04	9%	14 May →
vertigo	7–13	0.02	10%	8 Apr →
mirage	13–8	-0.00	5%	7 Apr →
nuke	13–3	0.03	35%	7 Apr →
nuke	9–13	0.06	15%	4 Mar →
train	6–13	-0.05	10%	3 Mar →
ancient	13–11	-0.07	13%	3 Mar →
train	11–13	-0.00	13%	3 Mar →
dust2	13–2	0.01	9%	24 Feb →
mirage	6–13	-0.07	9%	13 Feb →
vertigo	12–12	0.01	7%	12 Feb →
inferno	10–13	-0.03	3%	7 Feb →
dust2	5–13	-0.04	14%	7 Feb →
mirage	0–13	-0.08	9%	7 Feb →
ancient	13–8	-0.14	9%	6 Feb →
ancient	13–11	-0.11	24%	3 Feb →
ancient	13–9	-0.07	8%	3 Feb →
mirage	13–6	-0.02	17%	31 Jan →
mirage	12–12	-0.05	13%	31 Jan →
nuke	14–16	-0.08	11%	29 Jan →
mirage	13–6	-0.06	9%	28 Jan →
mirage	16–14	-0.03	8%	28 Jan →
nuke	11–13	-0.06	10%	28 Jan →
mirage	9–13	-0.10	3%	23 Jan →
inferno	13–6	-0.02	10%	23 Jan →
nuke	8–13	-0.08	14%	23 Jan →
mirage	7–13	-0.07	2%	22 Jan →
nuke	7–13	-0.08	5%	22 Jan →
overpass	11–13	-0.04	22%	21 Jan →
nuke	13–2	-0.02	4%	21 Jan →
dust2	13–5	-0.01	7%	21 Jan →
dust2	8–13	-0.01	8%	20 Jan →
ancient	13–4	-0.08	7%	17 Jan →
mirage	7–0	-0.01	14%	17 Jan →
overpass	13–2	0.12	10%	15 Jan →
mirage	13–11	-0.06	17%	15 Jan →
nuke	8–13	-0.10	6%	15 Jan →
ancient	1–13	-0.08	7%	15 Jan →
overpass	13–8	-0.06	5%	14 Jan →
train	13–11	-0.03	5%	14 Jan →
dust2	11–13	-0.08	8%	12 Jan →
inferno	13–9	-0.02	18%	10 Jan →
ancient	13–10	-0.03	18%	10 Jan →
dust2	9–13	-0.05	14%	10 Jan →
nuke	13–2	-0.03	17%	10 Jan →
mirage	4–13	-0.06	15%	9 Jan →
dust2	2–13	-0.11	25%	9 Jan →
mirage	13–9	0.02	12%	9 Jan →
mirage	13–8	-0.05	18%	8 Jan →
dust2	15–15	-0.07	12%	8 Jan →
inferno	13–7	0.04	11%	8 Jan →
mirage	3–13	-0.06	9%	7 Jan →
inferno	10–13	-0.03	20%	7 Jan →
inferno	5–13	-0.06	35%	7 Jan →
dust2	10–7	-0.04	27%	6 Jan →
train	11–13	-0.06	8%	6 Jan →
dust2	7–13	-0.02	23%	6 Jan →
nuke	13–6	0.02	7%	6 Jan →
overpass	9–13	0.02	9%	31 Dec →
mirage	5–13	-0.05	11%	31 Dec →
overpass	8–13	-0.04	13%	31 Dec →
dust2	13–8	-0.05	8%	31 Dec →
inferno	13–11	-0.00	12%	30 Dec →
dust2	9–13	0.00	9%	30 Dec →
dust2	2–13	-0.10	7%	24 Dec →
mirage	13–3	0.00	16%	24 Dec →
dust2	13–11	-0.10	7%	20 Dec →
dust2	9–13	-0.06	7%	20 Dec →
dust2	7–13	-0.08	14%	19 Dec →
mirage	13–10	-0.06	11%	19 Dec →
overpass	7–13	-0.07	12%	19 Dec →
mirage	13–16	-0.10	17%	18 Dec →
overpass	13–10	0.02	10%	17 Dec →
nuke	10–13	-0.08	4%	17 Dec →
inferno	4–13	-0.09	6%	17 Dec →
dust2	5–13	-0.07	12%	17 Dec →
vertigo	13–6	-0.01	11%	17 Dec →
dust2	8–13	-0.03	21%	16 Dec →
nuke	15–15	-0.03	0%	16 Dec →
inferno	8–13	-0.09	0%	16 Dec →
mirage	3–13	-0.04	0%	11 Dec →
nuke	1–13	-0.06	16%	11 Dec →
ancient	13–10	-0.09	2%	11 Dec →
inferno	13–3	-0.03	13%	11 Dec →
dust2	7–13	-0.08	7%	9 Dec →
train	11–13	-0.08	13%	26 Nov →
mirage	12–12	-0.07	17%	26 Nov →
dust2	13–6	-0.03	5%	26 Nov →
overpass	9–13	0.01	9%	19 Nov →
overpass	2–13	0.01	5%	19 Nov →
dust2	8–13	-0.02	5%	16 Nov →
inferno	13–0	0.16	11%	16 Nov →
dust2	5–13	-0.02	6%	16 Nov →
nuke	11–13	-0.02	9%	15 Nov →
ancient	3–13	-0.06	12%	15 Nov →
train	13–10	-0.06	7%	5 Nov →
mirage	10–13	-0.02	8%	30 Oct →
dust2	13–6	-0.05	2%	30 Oct →