Andyconda — CS2 Stats

US76561199041108580[U:1:1080842852]Steam profile ↗✓ No bans

1,398Tracked matches66%Win rate2021Tracked since

3,899Hours in CS6Hrs last 2 wks

CSDB Rating5.2 DevelopingPositional Player

Ladder ranks via Leetify

Performance scores

Aim58

Positioning48

Utility39

0–100 skill scores via Leetify.

Recent form

HOT40–54–6Last 10040%Win rateWTWWWWLWWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +2.7pp headshot accuracy · +55ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

4–0–1 · 80% win rate
Avg rating -0.01
Avg headshot accuracy 14%
Avg reaction 480ms

Last 10

8–1–1 · 80% win rate
Avg rating -0.02
Avg headshot accuracy 14%
Avg reaction 545ms

Last 20

14–5–1 · 70% win rate
Avg rating -0.02
Avg headshot accuracy 13%
Avg reaction 518ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.2 against its own average).

Aim5.8

Utility3.9

Positioning4.8

Opening Duels1.8

Clutch0.0

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like Twistzz 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

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 →

CSDB Rating breakdown

Aim5.8

Positioning4.8

Utility3.9

Mechanics4.6

Opening Duels2.2

Win Impact10.0

Composite 5.2/10 (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 rating-0.03+0.01

first ⅓ avg -0.04 → last ⅓ avg -0.03

Reaction time546ms−104ms

first ⅓ avg 650ms → last ⅓ avg 546ms

Headshot accuracy11.3%−1.7%

first ⅓ avg 13.1% → last ⅓ avg 11.3%

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.

Personal bests

0.12Best match rating · 7–13 · office, 10 May →

33%Best headshot accuracy · 10–13 · office, 3 Apr →

398msFastest reaction time · 13–7 · office, 24 Oct →

13–2Biggest win · nuke, 11 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak

6–10In matches decided by ≤2 rounds

3Overtime games

Map breakdown

officeBest map · 52% over 29nukeWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	38	14–24	37%	-0.04
office	B	29	15–14	52%	-0.02
ancient	D	7	2–5	29%	-0.06
inferno	D	6	2–4	33%	-0.05
cache	C	5	2–3	40%	-0.04
nuke	D	5	1–4	20%	-0.03
anubis	—	3	1–2	33%	-0.09
mirage	—	2	2–0	100%	-0.03
poseidon	—	1	0–1	0%	-0.19
overpass	—	1	1–0	100%	-0.07
train	—	1	0–1	0%	-0.03
italy	—	1	0–1	0%	-0.02
warden	—	1	0–1	0%	-0.12

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

55,799Lifetime kills

0.63K/D

5,831Matches

34.3%Match win rate

33.7%Headshot %

12.5%Shot accuracy · Top 50% of tracked players

3,541MVPs

1,411Hours (in match)

2,558Bombs planted

354Bombs defused

Most-used weapons

M4A4 / M4A1-S12,292

AK-4711,629

P2000 / USP-S2,826

XM10142,442

Desert Eagle2,404

AWP2,357

Galil AR2,197

P902,196

MP91,755

Glock-181,736

Lifetime map wins

10,443dust2

3,249nuke

2,649inferno

1,009vertigo

711office

529train

237italy

111lake

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

Faceit stats

Combat

4Matches

50%Win rate

0.38Avg K/D

45.3ADR

53%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	2	50%	0.38	9.0
Cache	1	0%	0.27	4.0
Mirage	1	100%	0.46	6.0

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.

11.2%Headshot accuracy

35.3%Accuracy (enemy spotted)

39.6%Spray accuracy

70.8%Counter-strafing

10.8°Preaim

547msReaction time

43.4%T opening success

34.2%CT opening success

0.49Enemies flashed / flash

5.1%Flash assists

9.64HE damage / grenade

2.24Flashes / 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 11.2335% — below the 15% mark we flag
Aim Training →
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 0.4853 — 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 34.1662% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
office	13–9	-0.01	13%	1 Nov →
dust2	12–12	0.04	10%	1 Nov →
office	13–7	-0.02	14%	31 Oct →
office	13–9	-0.03	22%	27 Oct →
office	13–5	-0.04	10%	26 Oct →
office	13–7	-0.02	25%	24 Oct →
dust2	9–13	-0.05	7%	24 Oct →
office	13–3	0.01	13%	24 Oct →
mirage	16–14	-0.03	15%	23 Oct →
dust2	13–11	-0.07	9%	23 Oct →
office	13–9	-0.01	17%	23 Oct →
office	13–8	-0.03	14%	22 Oct →
office	8–13	0.00	13%	21 Oct →
office	13–9	0.03	13%	21 Oct →
office	13–8	0.06	0%	18 Oct →
dust2	11–13	-0.01	13%	18 Oct →
ancient	3–13	-0.03	10%	18 Oct →
dust2	11–13	-0.04	5%	17 Oct →
office	13–8	-0.03	7%	17 Oct →
dust2	13–3	-0.08	21%	17 Oct →
ancient	10–13	-0.01	3%	16 Oct →
dust2	13–9	0.05	9%	16 Oct →
inferno	7–13	-0.05	3%	16 Oct →
cache	5–13	-0.09	21%	15 Oct →
dust2	7–13	-0.05	9%	14 Oct →
nuke	14–16	0.00	8%	14 Oct →
inferno	13–11	-0.04	11%	12 Oct →
ancient	13–10	-0.09	6%	12 Oct →
nuke	13–2	-0.02	17%	11 Oct →
anubis	13–8	-0.08	6%	11 Oct →
ancient	1–13	-0.10	12%	11 Oct →
inferno	11–13	-0.08	14%	3 Oct →
dust2	8–13	-0.05	5%	1 Oct →
mirage	13–10	-0.02	11%	1 Oct →
ancient	13–10	-0.03	14%	27 Sept →
office	8–13	-0.10	0%	27 Sept →
dust2	13–8	-0.03	17%	27 Sept →
dust2	12–12	-0.01	15%	27 Sept →
ancient	10–13	-0.06	10%	25 Sept →
office	11–13	-0.01	11%	24 Sept →
dust2	13–6	0.01	13%	22 Sept →
inferno	5–9	-0.02	14%	22 Sept →
dust2	7–13	-0.06	9%	19 Sept →
dust2	16–13	-0.03	11%	19 Sept →
inferno	13–3	-0.06	2%	19 Sept →
dust2	10–13	-0.05	9%	19 Sept →
dust2	13–9	-0.09	8%	13 Sept →
poseidon	7–9	-0.19	10%	13 Sept →
overpass	13–6	-0.07	8%	13 Sept →
train	11–13	-0.03	5%	6 Jul →
dust2	13–11	-0.00	13%	6 Jul →
dust2	12–12	-0.04	13%	6 Jul →
office	3–13	-0.06	17%	5 Jul →
dust2	8–13	-0.01	20%	5 Jul →
italy	4–13	-0.02	9%	28 Jun →
anubis	5–13	-0.09	3%	28 Jun →
dust2	13–3	-0.05	10%	28 Jun →
nuke	1–13	-0.05	5%	21 Jun →
nuke	7–13	-0.05	7%	14 Jun →
dust2	13–11	-0.07	8%	14 Jun →
office	3–13	-0.01	13%	14 Jun →
dust2	11–13	-0.06	7%	14 Jun →
office	4–13	-0.07	13%	12 Jun →
dust2	7–13	-0.01	8%	12 Jun →
cache	13–5	-0.01	15%	28 May →
dust2	8–13	-0.03	8%	28 May →
office	13–9	-0.07	5%	27 May →
dust2	12–12	-0.05	6%	27 May →
dust2	11–13	-0.07	16%	27 May →
cache	9–13	-0.03	19%	26 May →
office	10–13	-0.07	12%	26 May →
dust2	13–8	0.04	7%	26 May →
office	13–5	-0.00	8%	24 May →
cache	13–10	-0.01	9%	24 May →
office	9–13	-0.07	0%	18 May →
office	13–6	0.02	7%	17 May →
office	7–13	0.12	13%	10 May →
cache	9–13	-0.05	4%	3 May →
dust2	13–7	-0.03	13%	3 May →
dust2	7–13	-0.00	9%	23 Apr →
dust2	2–13	-0.09	17%	20 Apr →
office	5–13	-0.06	20%	19 Apr →
dust2	5–13	-0.08	16%	12 Apr →
office	13–11	-0.04	23%	12 Apr →
dust2	12–12	-0.03	14%	12 Apr →
inferno	8–13	-0.07	2%	12 Apr →
warden	7–13	-0.12	19%	12 Apr →
dust2	8–13	-0.03	15%	12 Apr →
office	8–13	-0.08	15%	9 Apr →
office	3–13	-0.06	4%	6 Apr →
dust2	0–13	-0.06	13%	6 Apr →
dust2	13–9	-0.05	16%	6 Apr →
dust2	13–7	-0.09	15%	5 Apr →
nuke	11–13	-0.01	10%	5 Apr →
dust2	12–12	0.01	18%	5 Apr →
ancient	5–13	-0.08	8%	5 Apr →
office	7–13	0.03	24%	5 Apr →
anubis	3–13	-0.10	10%	5 Apr →
dust2	2–13	-0.03	19%	5 Apr →
office	10–13	0.00	33%	3 Apr →