birds arent real — CS2 Stats

NZ76561198003659046[U:1:43393318]Steam profile ↗✓ No bans

171Tracked matches21%Win rate2020Tracked since

487Hours in CS9Hrs last 2 wks

CSDB Rating3.0 Learning

Ladder ranks via Leetify

Performance scores

Aim32

Positioning36

Utility34

0–100 skill scores via Leetify.

Recent form

COLD40–55–5Last 10040%Win rateLWWLLLLLWL

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

Player DNA

Aim3.2

Aggression0.8

Utility3.4

Positioning3.6

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 65% 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. 688ms 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

Aim3.2

Positioning3.6

Utility3.4

Mechanics5.2

Opening Duels0.0

Win Impact0.0

Composite 3.0/10 (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 time701ms+31ms

first ⅓ avg 670ms → last ⅓ avg 701ms

Headshot accuracy9.3%−0.4%

first ⅓ avg 9.8% → last ⅓ avg 9.3%

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

0.13Best rating — mirage 13–0

13–0Biggest win — mirage

4Longest win streak

8–4In matches decided by ≤2 rounds

Map breakdown

overpassBest map · 80% over 5anubisWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
nuke	D	21	7–14	33%	-0.05
inferno	D	16	5–11	31%	-0.04
mirage	D	15	4–11	27%	-0.02
cache	A	14	8–6	57%	-0.04
train	B	11	5–6	45%	-0.05
ancient	B	10	5–5	50%	-0.01
anubis	D	7	1–6	14%	-0.07
overpass	S	5	4–1	80%	-0.04
dust2	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

13,917Lifetime kills

0.97K/D

920Matches

40.7%Match win rate

35.7%Headshot %

17.7%Shot accuracy · Top 25% of tracked players

817MVPs

297Hours (in match)

517Bombs planted

151Bombs defused

Most-used weapons

AK-473,811

M4A4 / M4A1-S2,879

FAMAS953

Galil AR669

AWP648

P90458

Five-SeveN448

P2000 / USP-S402

Glock-18365

SG 553254

Lifetime map wins

1,192dust2

780inferno

747nuke

457train

93cbble

18assault

17office

10lake

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.

9.6%Headshot accuracy

32.2%Accuracy (enemy spotted)

32.5%Spray accuracy

73.5%Counter-strafing

11.2°Preaim

688msReaction time

21.4%T opening success

23.9%CT opening success

0.53Enemies flashed / flash

1.7%Flash assists

9.94HE damage / grenade

3.84Flashes / 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 9.557% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.8442 — below the 4 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 21.4325% — below the 40% mark we flag

Spend your practice time on Anubis

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	4–13	-0.05	15%	28 Aug →
cache	13–10	-0.03	18%	28 Aug →
anubis	13–4	-0.01	4%	25 Aug →
nuke	8–13	-0.04	9%	25 Aug →
mirage	10–13	-0.09	24%	18 Aug →
anubis	8–13	-0.08	8%	14 Aug →
nuke	4–13	-0.03	7%	14 Aug →
train	7–13	-0.02	9%	11 Aug →
inferno	13–11	0.02	10%	11 Aug →
anubis	3–13	-0.09	10%	11 Aug →
inferno	9–13	0.04	11%	8 Aug →
anubis	2–13	-0.08	0%	8 Aug →
inferno	11–13	-0.05	6%	7 Aug →
ancient	12–12	-0.03	7%	7 Aug →
train	5–13	-0.05	8%	7 Aug →
cache	7–13	-0.07	6%	4 Aug →
train	6–13	-0.06	4%	4 Aug →
nuke	6–13	-0.11	5%	4 Aug →
inferno	13–11	0.01	8%	31 Jul →
ancient	13–6	-0.03	13%	31 Jul →
mirage	9–13	0.03	13%	31 Jul →
nuke	6–13	-0.10	15%	28 Jul →
anubis	4–13	-0.09	13%	28 Jul →
mirage	8–13	-0.05	7%	28 Jul →
nuke	3–13	-0.07	5%	24 Jul →
anubis	7–13	-0.09	13%	24 Jul →
inferno	6–13	-0.07	9%	24 Jul →
cache	7–4	-0.01	25%	21 Jul →
mirage	3–13	-0.02	3%	21 Jul →
inferno	7–13	-0.03	5%	21 Jul →
train	9–0	-0.01	11%	21 Jul →
dust2	13–9	-0.04	6%	14 Jul →
nuke	13–1	-0.04	5%	14 Jul →
train	11–13	-0.03	7%	7 Jul →
cache	13–7	-0.03	12%	7 Jul →
mirage	4–13	-0.05	11%	3 Jul →
inferno	13–10	-0.03	10%	3 Jul →
cache	3–13	-0.04	14%	3 Jul →
nuke	7–13	-0.08	8%	3 Jul →
cache	13–2	-0.06	14%	30 Jun →
nuke	2–13	-0.06	23%	30 Jun →
ancient	13–11	-0.03	6%	26 Jun →
overpass	13–9	0.00	17%	26 Jun →
cache	10–3	0.01	21%	23 Jun →
mirage	4–13	-0.06	7%	23 Jun →
train	13–7	-0.03	14%	23 Jun →
mirage	12–12	-0.07	7%	19 Jun →
train	13–9	-0.05	3%	19 Jun →
ancient	6–13	-0.05	0%	19 Jun →
inferno	11–13	-0.09	11%	16 Jun →
inferno	11–13	-0.04	6%	12 Jun →
overpass	13–9	-0.03	18%	12 Jun →
nuke	4–13	0.00	3%	12 Jun →
overpass	13–9	-0.06	14%	9 Jun →
ancient	13–4	0.02	11%	9 Jun →
mirage	4–13	-0.02	14%	9 Jun →
nuke	4–13	-0.02	5%	5 Jun →
inferno	2–13	-0.03	15%	5 Jun →
ancient	6–13	-0.04	5%	5 Jun →
inferno	9–13	-0.04	4%	2 Jun →
ancient	3–13	-0.00	15%	2 Jun →
overpass	13–11	-0.06	13%	2 Jun →
nuke	10–13	-0.02	17%	28 May →
inferno	5–13	-0.10	14%	26 May →
mirage	6–5	0.05	10%	26 May →
cache	2–13	-0.08	14%	22 May →
nuke	13–7	0.01	11%	22 May →
overpass	2–13	-0.07	14%	22 May →
cache	9–13	0.01	11%	19 May →
nuke	13–4	-0.07	5%	19 May →
nuke	8–4	0.02	0%	19 May →
ancient	13–7	0.03	14%	15 May →
cache	13–11	0.01	13%	15 May →
anubis	7–13	-0.08	9%	12 May →
cache	2–13	-0.08	20%	12 May →
cache	3–13	-0.03	14%	12 May →
mirage	12–12	-0.04	7%	8 May →
cache	13–7	-0.06	12%	5 May →
mirage	10–13	-0.06	4%	5 May →
nuke	0–13	-0.08	8%	5 May →
cache	13–11	-0.06	8%	1 May →
nuke	13–11	-0.06	8%	28 Apr →
mirage	12–12	-0.05	6%	24 Apr →
nuke	13–7	-0.13	3%	24 Apr →
train	13–5	-0.05	7%	24 Apr →
inferno	13–7	0.05	11%	21 Apr →
mirage	13–0	0.13	14%	21 Apr →
inferno	5–13	-0.10	31%	7 Apr →
nuke	5–13	-0.09	8%	7 Apr →
train	13–6	-0.06	5%	31 Mar →
ancient	13–1	0.04	11%	31 Mar →
nuke	6–13	-0.06	6%	27 Mar →
train	5–13	-0.07	12%	27 Mar →
ancient	10–13	-0.04	6%	27 Mar →
mirage	13–8	-0.00	12%	24 Mar →
train	4–13	-0.08	13%	24 Mar →
inferno	12–12	-0.09	19%	17 Mar →
mirage	13–7	-0.02	5%	17 Mar →
inferno	13–10	-0.07	4%	13 Mar →
nuke	13–5	-0.02	2%	10 Mar →