hey peter — CS2 Stats

US76561198050813922[U:1:90548194]Steam profile ↗✓ No bans

421Tracked matches29%Win rate2023Tracked since

CSDB Rating3.5 Learning

Ladder ranks via Leetify

Performance scores

Aim46

Positioning31

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY46–47–7Last 10046%Win rateWWLLWWLLWL

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating

Player DNA

Aim4.6

Aggression1.7

Utility5.3

Positioning3.1

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 72% 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

Reaction time. 558ms 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

Aim4.6

Positioning3.1

Utility5.3

Mechanics4.5

Opening Duels0.0

Win Impact0.0

Composite 3.5/10 (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-0.04−0.03

first ⅓ avg -0.01 → last ⅓ avg -0.04

Reaction time560ms−72ms

first ⅓ avg 632ms → last ⅓ avg 560ms

Headshot accuracy10.4%−2.2%

first ⅓ avg 12.5% → last ⅓ avg 10.4%

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

0.11Best rating — inferno 13–3

13–2Biggest win — ancient

6Longest win streak

W2Current streak

10–9In matches decided by ≤2 rounds

3Overtime games

Map breakdown

nukeBest map · 75% over 16mirageWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	16	6–10	38%	-0.04
nuke	S	16	12–4	75%	-0.01
ancient	C	15	6–9	40%	-0.04
inferno	C	14	6–8	43%	-0.04
dust2	C	13	5–8	38%	-0.04
mirage	D	9	3–6	33%	-0.04
anubis	C	7	3–4	43%	-0.04
overpass	A	7	4–3	57%	-0.01
train	—	2	1–1	50%	0.02
poseidon	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

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

10.6%Headshot accuracy

30.9%Accuracy (enemy spotted)

33.1%Spray accuracy

70.4%Counter-strafing

10.0°Preaim

558msReaction time

19.0%T opening success

26.8%CT opening success

0.63Enemies flashed / flash

5.8%Flash assists

9.98HE damage / grenade

5.71Flashes / 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.

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 10.6245% — below the 15% mark we flag
Aim Training →
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 19.0156% — below the 40% mark we flag

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.

33% win rate across 9 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
dust2	13–9	-0.02	16%	28 Aug →
cache	13–6	0.02	7%	28 Aug →
anubis	7–13	-0.07	13%	27 Aug →
inferno	9–13	-0.02	10%	27 Aug →
nuke	13–11	-0.10	7%	27 Aug →
nuke	13–4	0.09	9%	27 Aug →
dust2	10–13	-0.06	14%	27 Aug →
cache	8–13	-0.06	13%	23 Aug →
inferno	13–11	-0.05	8%	23 Aug →
cache	8–13	-0.08	6%	23 Aug →
nuke	11–13	-0.08	11%	23 Aug →
ancient	8–13	-0.03	6%	23 Aug →
nuke	9–13	-0.07	20%	23 Aug →
inferno	7–13	-0.08	3%	23 Aug →
mirage	11–13	-0.03	7%	23 Aug →
inferno	4–13	-0.04	13%	22 Aug →
anubis	8–13	-0.02	21%	22 Aug →
cache	12–12	-0.06	5%	22 Aug →
dust2	7–13	-0.08	16%	21 Aug →
inferno	11–13	-0.04	8%	21 Aug →
mirage	12–12	-0.01	12%	19 Aug →
anubis	13–11	-0.04	2%	19 Aug →
nuke	16–13	-0.01	11%	18 Aug →
dust2	4–13	-0.00	5%	18 Aug →
cache	8–13	-0.04	24%	17 Aug →
dust2	4–13	-0.11	6%	17 Aug →
inferno	10–13	-0.03	14%	17 Aug →
ancient	2–13	-0.10	13%	17 Aug →
cache	13–5	-0.03	18%	17 Aug →
cache	4–13	-0.08	7%	15 Aug →
ancient	7–13	-0.02	11%	15 Aug →
mirage	13–9	-0.06	5%	15 Aug →
nuke	13–4	0.00	6%	15 Aug →
inferno	0–13	-0.09	0%	15 Aug →
mirage	6–13	-0.06	11%	12 Aug →
anubis	13–11	-0.02	14%	12 Aug →
dust2	13–5	-0.01	11%	12 Aug →
cache	4–13	-0.06	28%	12 Aug →
anubis	13–7	-0.05	7%	8 Aug →
cache	13–6	-0.05	0%	8 Aug →
ancient	13–8	-0.03	9%	8 Aug →
nuke	13–4	-0.04	8%	8 Aug →
ancient	13–10	-0.05	10%	12 Jul →
cache	3–13	-0.10	9%	12 Jul →
dust2	13–9	-0.06	14%	26 Jun →
cache	13–9	-0.05	15%	26 Jun →
ancient	9–13	-0.12	15%	29 May →
nuke	13–8	-0.08	9%	29 May →
mirage	13–8	-0.05	10%	29 May →
cache	13–11	-0.03	9%	29 May →
cache	12–12	0.01	19%	27 May →
anubis	11–13	-0.05	11%	27 May →
ancient	10–13	-0.09	5%	23 May →
cache	13–7	0.04	11%	23 May →
inferno	13–11	-0.04	8%	23 May →
cache	5–13	0.02	16%	22 May →
anubis	12–12	-0.05	12%	22 May →
ancient	5–13	-0.08	6%	22 May →
overpass	13–6	-0.01	16%	11 May →
ancient	7–13	-0.05	3%	11 May →
cache	10–13	-0.04	19%	11 May →
ancient	13–7	-0.01	16%	6 May →
dust2	14–16	-0.05	20%	23 Mar →
nuke	13–11	0.04	17%	23 Mar →
mirage	8–13	-0.04	10%	23 Mar →
ancient	11–13	-0.05	17%	23 Mar →
overpass	13–9	0.01	26%	22 Mar →
mirage	13–11	-0.06	13%	22 Mar →
nuke	10–13	-0.04	10%	22 Mar →
inferno	8–8	-0.07	13%	13 Feb →
nuke	9–1	-0.01	0%	13 Feb →
poseidon	6–9	-0.02	17%	13 Feb →
overpass	11–13	0.07	13%	4 Jan →
dust2	8–13	-0.08	17%	5 Dec →
inferno	12–12	-0.04	17%	5 Dec →
train	13–3	0.04	22%	5 Dec →
inferno	16–12	-0.03	6%	14 Nov →
nuke	13–7	-0.00	11%	11 Nov →
overpass	3–13	-0.05	4%	25 Oct →
ancient	13–6	0.04	7%	22 Oct →
nuke	5–13	-0.03	9%	22 Oct →
nuke	13–9	0.06	10%	28 Sept →
ancient	3–0	-0.03	0%	28 Sept →
dust2	11–13	-0.05	18%	27 Sept →
ancient	3–13	-0.04	22%	11 Sept →
mirage	11–13	-0.04	13%	11 Sept →
inferno	13–11	-0.05	12%	27 Aug →
dust2	6–13	-0.05	16%	27 Aug →
nuke	13–6	0.02	6%	27 Aug →
inferno	13–6	-0.06	15%	23 Aug →
train	9–13	0.01	18%	23 Aug →
overpass	7–13	-0.01	15%	23 Aug →
dust2	13–9	0.07	21%	23 Aug →
mirage	12–12	-0.04	11%	22 Aug →
overpass	13–8	-0.07	7%	22 Aug →
dust2	13–11	-0.04	10%	22 Aug →
nuke	13–7	0.01	13%	17 Aug →
inferno	13–3	0.11	22%	17 Aug →
ancient	13–2	0.04	11%	17 Aug →
overpass	13–7	-0.04	11%	17 Aug →