Panda — CS2 Stats

GB76561198071218424[U:1:110952696]Steam profile ↗✓ No bans

1,203Tracked matches46%Win rate2020Tracked since

2,611Hours in CS5Hrs last 2 wks

CSDB Rating5.1 DevelopingHybrid Rifler

Premier CS Rating17,702Purple band · top ~17.6% of ranked players (population est.)

CSDB Leaderboard#3967 of 7019 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

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Performance scores

Aim67

Positioning52

Utility23

0–100 skill scores via Leetify.

Recent form

STEADY40–52–8Last 10040%Win rateLWLTLWWLLW

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.

Aim6.7

Aggression6.5

Utility2.3

Positioning5.2

Opening Duels2.5

Clutch3.6

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 Twistzz 83% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 634ms 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

Aim6.7

Positioning5.2

Utility2.3

Mechanics7.1

Opening Duels2.5

Win Impact3.8

Composite 5.1/10 (Developing), 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 rating0.00+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time629ms+20ms

first ⅓ avg 610ms → last ⅓ avg 629ms

Headshot accuracy20.4%+4.3%

first ⅓ avg 16.1% → last ⅓ avg 20.4%

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

0.14Best rating — nuke 13–6

13–1Biggest win — nuke

4Longest win streak

7–5In matches decided by ≤2 rounds

6Overtime games

Map breakdown

anubisBest map · 50% over 6ancientWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	16	6–10	38%	-0.01
cache	C	14	6–8	43%	0.02
inferno	C	14	5–9	36%	-0.01
mirage	C	13	5–8	38%	0.01
ancient	D	12	4–8	33%	-0.02
nuke	B	11	5–6	45%	0.01
anubis	B	6	3–3	50%	0.01
vertigo	B	6	3–3	50%	-0.02
overpass	—	3	2–1	67%	0.01
train	—	3	1–2	33%	-0.03
boulder	—	1	0–1	0%	0.03
office	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

80,363Lifetime kills

1.09K/D · Top 50% of tracked players

3,963Matches

47.6%Match win rate · Top 50% of tracked players

38.1%Headshot %

17.1%Shot accuracy · Top 25% of tracked players

10,052MVPs

1,591Hours (in match)

3,398Bombs planted

924Bombs defused

Most-used weapons

AK-4718,782

AWP14,627

M4A4 / M4A1-S11,904

P2000 / USP-S4,806

Desert Eagle3,933

Glock-183,462

P2502,256

MAG-71,786

P901,647

Knife1,630

Lifetime map wins

6,553inferno

5,520dust2

3,426nuke

1,720train

1,285vertigo

1,094cbble

522office

213lake

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

Faceit stats

Combat

192Matches

53%Win rate

1.11Avg K/D

82.8ADR

37%Headshot %

Clutches & streaks

38%1v1 clutch win

21%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	14	50%	1.15	16.6
Mirage	10	60%	1.16	16.4
Inferno	10	50%	1.33	17.9
Nuke	9	56%	1.00	16.2
Ancient	8	62%	1.17	15.4
Dust2	7	57%	0.81	16.1
Train	2	50%	1.18	17.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

20.8%Headshot accuracy

34.6%Accuracy (enemy spotted)

38.4%Spray accuracy

81.8%Counter-strafing

11.3°Preaim

634msReaction time

38.4%T opening success

41.8%CT opening success

0.28Enemies flashed / flash

3.4%Flash assists

6.21HE damage / grenade

2.04Flashes / 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 0.2805 — below the 0.5 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 38.4398% — below the 40% mark we flag

Spend your practice time on Ancient

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 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	11–13	0.03	16%	27 Aug →
nuke	13–1	0.07	20%	27 Aug →
anubis	6–13	-0.02	22%	26 Aug →
overpass	12–12	0.03	21%	9 Aug →
train	11–13	-0.07	5%	9 Aug →
inferno	13–1	0.13	26%	9 Aug →
dust2	13–9	0.03	24%	9 Aug →
vertigo	5–13	-0.08	13%	9 Aug →
train	11–13	-0.02	25%	2 Aug →
vertigo	13–10	-0.03	30%	2 Aug →
mirage	3–13	-0.05	12%	2 Aug →
cache	10–13	0.01	25%	2 Aug →
ancient	13–6	0.04	16%	2 Aug →
anubis	13–6	0.05	24%	25 Jul →
dust2	11–13	-0.02	15%	25 Jul →
nuke	5–13	-0.06	50%	24 Jul →
cache	13–2	0.05	28%	23 Jul →
mirage	4–13	-0.02	22%	23 Jul →
nuke	13–11	0.02	18%	18 Jul →
dust2	5–13	-0.06	16%	18 Jul →
boulder	6–13	0.03	29%	16 Jul →
cache	13–9	0.04	22%	16 Jul →
inferno	12–12	-0.01	12%	13 Jul →
vertigo	10–13	-0.02	32%	13 Jul →
ancient	5–13	0.00	20%	12 Jul →
dust2	16–14	-0.01	10%	12 Jul →
mirage	13–3	0.05	28%	12 Jul →
nuke	0–13	-0.11	14%	12 Jul →
cache	13–2	0.09	18%	12 Jul →
ancient	13–4	0.06	21%	12 Jul →
cache	3–13	-0.03	9%	11 Jul →
anubis	2–13	0.04	19%	11 Jul →
mirage	6–13	0.00	14%	11 Jul →
dust2	13–10	0.05	15%	11 Jul →
inferno	13–6	-0.00	20%	11 Jul →
ancient	6–13	-0.08	9%	10 Jul →
dust2	13–4	0.03	50%	10 Jul →
mirage	13–5	0.02	24%	10 Jul →
nuke	3–13	-0.07	18%	10 Jul →
dust2	13–7	0.07	16%	3 Jul →
mirage	7–13	0.06	20%	30 Jun →
cache	9–13	0.05	11%	30 Jun →
ancient	7–13	-0.05	17%	30 Jun →
nuke	5–13	0.01	9%	29 Jun →
cache	8–13	0.01	18%	29 Jun →
vertigo	9–13	-0.01	19%	28 Jun →
cache	12–12	-0.05	11%	28 Jun →
ancient	12–12	-0.01	20%	28 Jun →
dust2	12–12	0.03	22%	28 Jun →
mirage	12–12	0.04	30%	28 Jun →
cache	12–12	0.01	32%	28 Jun →
ancient	12–12	-0.03	20%	27 Jun →
vertigo	13–9	-0.06	8%	27 Jun →
office	9–13	0.03	12%	25 Jun →
mirage	13–7	0.07	15%	25 Jun →
nuke	3–13	0.00	28%	25 Jun →
inferno	13–2	0.11	19%	25 Jun →
inferno	13–11	-0.03	21%	23 Jun →
train	13–9	-0.01	13%	23 Jun →
cache	13–10	0.06	23%	23 Jun →
nuke	5–13	-0.02	14%	22 Jun →
dust2	4–13	0.02	13%	22 Jun →
mirage	13–16	-0.01	8%	22 Jun →
ancient	5–13	-0.07	11%	22 Jun →
inferno	7–13	0.02	16%	22 Jun →
cache	13–5	0.01	19%	21 Jun →
dust2	13–16	-0.04	16%	20 Jun →
ancient	7–1	-0.03	6%	20 Jun →
anubis	7–13	-0.04	17%	20 Jun →
dust2	4–13	-0.08	11%	20 Jun →
ancient	6–13	-0.05	13%	20 Jun →
nuke	16–14	0.01	14%	20 Jun →
inferno	7–13	-0.09	18%	20 Jun →
dust2	9–13	-0.03	12%	14 Jun →
anubis	16–14	-0.02	21%	14 Jun →
inferno	4–13	-0.09	15%	14 Jun →
mirage	13–11	0.00	15%	14 Jun →
inferno	9–13	-0.04	17%	12 Jun →
nuke	13–7	0.07	25%	10 Jun →
overpass	16–13	0.01	17%	7 Jun →
anubis	13–5	0.03	16%	7 Jun →
mirage	13–9	0.01	14%	7 Jun →
mirage	10–13	0.02	19%	7 Jun →
dust2	6–13	-0.10	4%	7 Jun →
inferno	7–13	-0.05	21%	7 Jun →
ancient	13–7	0.02	16%	7 Jun →
inferno	13–5	0.02	20%	7 Jun →
dust2	11–13	-0.03	13%	6 Jun →
ancient	6–13	0.00	21%	6 Jun →
dust2	13–11	0.01	20%	6 Jun →
inferno	6–13	-0.11	15%	6 Jun →
inferno	9–13	-0.01	12%	6 Jun →
vertigo	13–2	0.05	19%	6 Jun →
cache	6–13	0.04	17%	6 Jun →
inferno	6–13	-0.03	12%	3 Jun →
dust2	6–13	-0.01	18%	3 Jun →
nuke	13–6	0.14	21%	2 Jun →
mirage	9–13	-0.05	13%	31 May →
cache	13–4	-0.05	21%	31 May →
overpass	12–5	0.00	20%	30 May →