Jbird — CS2 Stats

76561199465750249[U:1:1505484521]✓ No bans

169Tracked matches42%Win rate2025Tracked since

181Hours in CS

CSDB Rating4.6 DevelopingHybrid Rifler

Premier CS Rating5,795Light Blue band · top ~75% of ranked players (population est.)

CSDB Leaderboard#16529 of 21658 tracked

WingmanGold Nova II

Ladder ranks via Leetify

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Performance scores

Aim63

Positioning54

Utility40

0–100 skill scores via Leetify.

Recent form

STEADY40–49–11Last 10040%Win rateTLLWWWLLLW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.3

Aggression8.7

Utility4.0

Positioning5.4

Opening Duels3.2

Limited utility dependence

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 b1t 85% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 668ms 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

Aim6.3

Positioning5.4

Utility4.0

Mechanics6.4

Opening Duels3.2

Win Impact2.4

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time649ms−21ms

first ⅓ avg 670ms → last ⅓ avg 649ms

Headshot accuracy16.3%−3.5%

first ⅓ avg 19.8% → last ⅓ avg 16.3%

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

0.24Best rating — dust2 13–8

13–1Biggest win — dust2

5Longest win streak

4–8In matches decided by ≤2 rounds

2Overtime games

Map breakdown

nukeBest map · 56% over 9cacheWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	36	19–17	53%	0.04
inferno	D	24	6–18	25%	0.02
mirage	C	14	5–9	36%	0.01
nuke	A	9	5–4	56%	0.00
ancient	D	6	2–4	33%	0.03
cache	D	5	1–4	20%	0.09
office	—	3	2–1	67%	0.03
anubis	—	2	0–2	0%	-0.00
train	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Lifetime stats

6,561Lifetime kills

1.12K/D · Top 50% of tracked players

449Matches

47.7%Match win rate · Top 50% of tracked players

43.7%Headshot %

0.2%Shot accuracy

1,078MVPs

181Hours (in match)

574Bombs planted

139Bombs defused

Most-used weapons

AK-472,034

M4A4 / M4A1-S1,467

AWP844

P2000 / USP-S403

Desert Eagle340

Glock-18268

MP9222

MAC-10155

Galil AR109

FAMAS98

Lifetime map wins

1,224dust2

820inferno

490nuke

87train

63vertigo

51office

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.

15.7%Headshot accuracy

37.9%Accuracy (enemy spotted)

40.0%Spray accuracy

78.6%Counter-strafing

10.6°Preaim

668msReaction time

49.0%T opening success

36.4%CT opening success

0.47Enemies flashed / flash

6.6%Flash assists

9.33HE damage / grenade

2.29Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4731 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 36.4391% — below the 40% mark we flag

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
nuke	12–12	0.05	16%	20 Aug →
inferno	7–13	-0.01	2%	20 Aug →
train	7–13	0.02	15%	12 Aug →
inferno	9–5	0.22	9%	11 Aug →
inferno	13–10	-0.01	9%	11 Aug →
mirage	13–4	0.11	36%	9 Aug →
inferno	2–9	-0.07	20%	7 Aug →
dust2	6–13	-0.03	9%	6 Aug →
inferno	2–13	0.05	15%	6 Aug →
dust2	13–6	-0.01	21%	6 Aug →
dust2	10–13	0.07	11%	4 Aug →
inferno	12–12	-0.00	17%	30 Jul →
dust2	12–12	0.04	9%	29 Jul →
dust2	13–8	0.06	17%	29 Jul →
nuke	12–3	0.01	20%	29 Jul →
dust2	7–13	0.05	8%	29 Jul →
dust2	3–7	-0.08	11%	24 Jul →
inferno	12–12	0.01	13%	24 Jul →
dust2	7–13	0.06	23%	17 Jul →
dust2	9–3	-0.01	0%	16 Jul →
dust2	3–13	-0.02	29%	16 Jul →
mirage	3–13	-0.05	14%	16 Jul →
dust2	11–13	0.04	12%	16 Jul →
inferno	8–13	0.10	25%	15 Jul →
dust2	13–8	0.24	19%	11 Jul →
cache	13–3	0.03	25%	11 Jul →
inferno	2–13	0.05	16%	11 Jul →
mirage	10–13	0.02	17%	10 Jul →
mirage	1–13	-0.07	21%	10 Jul →
dust2	13–10	-0.05	23%	9 Jul →
dust2	13–10	-0.03	11%	9 Jul →
ancient	10–13	0.04	11%	9 Jul →
nuke	13–7	0.01	33%	9 Jul →
office	12–12	0.11	23%	8 Jul →
office	13–10	-0.06	23%	8 Jul →
inferno	13–9	0.09	18%	7 Jul →
dust2	13–3	0.03	12%	7 Jul →
dust2	13–6	0.02	25%	7 Jul →
dust2	13–10	-0.07	14%	4 Jul →
mirage	11–13	0.02	28%	3 Jul →
ancient	3–13	-0.02	15%	2 Jul →
inferno	6–13	0.01	23%	30 Jun →
dust2	10–13	-0.00	11%	30 Jun →
dust2	13–9	0.13	12%	30 Jun →
dust2	13–1	0.07	21%	30 Jun →
nuke	12–12	0.05	15%	30 Jun →
inferno	3–13	-0.05	3%	29 Jun →
dust2	6–13	0.06	30%	20 Jun →
ancient	13–6	0.14	23%	20 Jun →
dust2	10–13	0.08	11%	20 Jun →
dust2	11–13	0.07	16%	19 Jun →
mirage	13–11	-0.02	11%	18 Jun →
ancient	3–13	-0.01	18%	17 Jun →
mirage	7–13	0.01	13%	17 Jun →
dust2	4–13	0.08	20%	17 Jun →
nuke	12–12	0.01	16%	16 Jun →
mirage	13–11	-0.01	15%	16 Jun →
dust2	13–4	0.10	14%	15 Jun →
nuke	13–10	0.05	13%	14 Jun →
dust2	7–13	0.02	17%	14 Jun →
inferno	7–13	0.08	26%	14 Jun →
dust2	13–9	0.13	12%	12 Jun →
mirage	1–13	-0.03	13%	12 Jun →
dust2	13–9	0.08	22%	12 Jun →
dust2	10–13	0.13	16%	12 Jun →
dust2	6–13	-0.03	12%	11 Jun →
ancient	13–8	0.12	13%	11 Jun →
inferno	3–13	0.00	15%	11 Jun →
cache	11–13	0.17	15%	11 Jun →
cache	9–13	0.05	15%	10 Jun →
dust2	13–8	0.01	27%	10 Jun →
inferno	7–9	0.11	14%	9 Jun →
mirage	13–8	0.05	19%	9 Jun →
dust2	16–12	-0.01	25%	9 Jun →
mirage	11–13	0.01	24%	8 Jun →
inferno	13–5	-0.01	26%	8 Jun →
dust2	2–13	0.05	26%	8 Jun →
mirage	13–11	0.01	13%	29 May →
inferno	7–9	-0.03	8%	28 May →
inferno	9–6	0.01	31%	28 May →
inferno	9–6	-0.13	8%	28 May →
cache	11–13	0.04	22%	28 May →
cache	8–13	0.17	15%	28 May →
anubis	8–13	0.01	6%	27 May →
anubis	3–13	-0.02	15%	27 May →
inferno	12–12	0.13	24%	26 May →
dust2	13–2	0.13	22%	26 May →
mirage	4–13	0.05	24%	25 May →
office	13–7	0.03	31%	18 May →
nuke	13–9	-0.00	25%	18 May →
mirage	3–13	-0.01	18%	17 May →
inferno	15–15	0.07	9%	17 May →
nuke	13–11	-0.06	26%	15 May →
nuke	12–12	-0.09	24%	15 May →
inferno	3–13	-0.04	22%	15 May →
dust2	9–13	0.04	12%	15 May →
inferno	8–13	-0.01	23%	14 May →
dust2	13–5	0.02	35%	14 May →
inferno	10–13	-0.01	19%	14 May →
ancient	12–12	-0.08	13%	11 May →