Llama — CS2 Stats

76561199091504011[U:1:1131238283]

2,504Tracked matches56%Win rate2021Tracked since

2,670Hours in CS9Hrs last 2 wks

CSDB Rating4.7 Developing

Premier CS Rating15,403Purple band · top ~26.8% of ranked players (population est.)

CSDB Leaderboard#16077 of 26055 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

WingmanSilver I

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 2 median	Level 3 median	vs Level 3
Headshot rate	40.2%	42.1%	42.1%	1.9% short
Shot accuracy	5.1%	12.9%	12.1%	7.0% short
Kill/death ratio	1.00	1.00	0.99	meets
Match win rate	43.6%	42.9%	43.9%	meets

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim52

Positioning44

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY51–40–9Last 10051%Win rateTLTLWWLWWL

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

Player DNA

Aim5.2

Aggression4.7

Utility5.8

Positioning4.4

Opening Duels1.1

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 85% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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. 568ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.2

Positioning4.4

Utility5.8

Mechanics3.6

Opening Duels1.4

Win Impact6.9

Composite 4.7/10 (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 rating0.02−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time571ms−64ms

first ⅓ avg 636ms → last ⅓ avg 571ms

Headshot accuracy17.2%−0.9%

first ⅓ avg 18.1% → last ⅓ avg 17.2%

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 — office 12–12

13–2Biggest win — dust2

4Longest win streak

10–8In matches decided by ≤2 rounds

7Overtime games

Map breakdown

officeBest map · 67% over 9anubisWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	20	10–10	50%	0.01
inferno	B	16	8–8	50%	0.03
cache	B	15	7–8	47%	0.03
nuke	B	15	7–8	47%	0.03
dust2	B	10	5–5	50%	0.03
office	S	9	6–3	67%	0.02
anubis	D	7	2–5	29%	0.01
train	—	2	2–0	100%	0.08
ancient	—	2	1–1	50%	0.00
overpass	—	2	1–1	50%	0.05
italy	—	1	1–0	100%	0.10
vertigo	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,216Lifetime kills

1.00K/D · Top 50% of Level 2 players

3,202Matches

43.6%Match win rate · Top 50% of Level 2 players

40.2%Headshot %

5.1%Shot accuracy

6,018MVPs

1,276Hours (in match)

4,203Bombs planted

1,107Bombs defused

Most-used weapons

AK-4712,209

M4A4 / M4A1-S8,621

AWP4,432

MAC-103,292

Glock-182,752

P2000 / USP-S2,505

XM10141,699

Galil AR1,587

SSG 081,487

MP91,434

Lifetime map wins

5,331inferno

3,550nuke

2,068vertigo

2,014dust2

1,036train

397office

25italy

11ar_shoots

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.

16.9%Headshot accuracy

34.2%Accuracy (enemy spotted)

33.9%Spray accuracy

66.2%Counter-strafing

11.4°Preaim

568msReaction time

27.5%T opening success

41.1%CT opening success

0.63Enemies flashed / flash

7.2%Flash assists

9.82HE damage / grenade

8.88Flashes / 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.

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 27.5366% — 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.

29% 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
dust2	12–12	0.00	21%	22 Aug →
mirage	10–13	-0.03	8%	21 Aug →
cache	15–15	0.08	12%	20 Aug →
anubis	5–13	0.00	14%	20 Aug →
cache	13–4	0.03	18%	20 Aug →
nuke	13–7	0.11	46%	19 Aug →
dust2	11–13	0.01	21%	19 Aug →
office	13–11	-0.01	8%	18 Aug →
inferno	9–6	-0.00	16%	18 Aug →
dust2	8–13	0.01	17%	18 Aug →
office	8–13	-0.01	8%	17 Aug →
mirage	8–13	0.00	15%	16 Aug →
cache	5–13	-0.02	22%	16 Aug →
nuke	13–6	0.07	10%	14 Aug →
cache	3–13	0.02	11%	14 Aug →
mirage	16–13	0.06	19%	13 Aug →
italy	13–6	0.10	15%	13 Aug →
nuke	13–9	0.05	20%	13 Aug →
train	13–8	0.12	22%	13 Aug →
nuke	3–13	0.02	22%	13 Aug →
mirage	13–8	-0.05	12%	13 Aug →
anubis	1–13	-0.04	9%	12 Aug →
mirage	11–13	-0.06	12%	12 Aug →
mirage	8–13	0.01	18%	12 Aug →
nuke	13–10	-0.01	33%	12 Aug →
train	13–9	0.03	20%	12 Aug →
office	12–12	0.13	16%	12 Aug →
vertigo	13–6	0.10	17%	12 Aug →
dust2	11–1	0.07	9%	12 Aug →
nuke	13–10	0.05	12%	11 Aug →
inferno	0–11	0.00	15%	11 Aug →
office	13–7	0.00	25%	11 Aug →
anubis	11–13	-0.04	23%	11 Aug →
cache	3–13	0.05	39%	11 Aug →
nuke	5–13	-0.05	16%	11 Aug →
dust2	13–5	0.08	28%	11 Aug →
ancient	8–13	-0.01	12%	9 Aug →
cache	5–13	0.00	28%	9 Aug →
dust2	11–13	0.10	18%	9 Aug →
inferno	5–13	-0.01	19%	9 Aug →
cache	13–8	0.03	18%	9 Aug →
nuke	8–8	0.09	18%	9 Aug →
mirage	13–3	0.08	16%	9 Aug →
mirage	13–4	0.01	19%	8 Aug →
mirage	5–13	-0.09	15%	8 Aug →
cache	14–16	-0.05	8%	8 Aug →
inferno	8–13	0.00	17%	8 Aug →
nuke	13–5	0.09	4%	8 Aug →
office	13–9	-0.04	5%	29 Jul →
office	12–12	0.04	19%	28 Jul →
inferno	13–9	0.03	11%	28 Jul →
mirage	13–11	0.03	17%	28 Jul →
dust2	12–12	-0.03	10%	28 Jul →
inferno	13–8	0.07	18%	26 Jul →
anubis	13–7	0.04	13%	25 Jul →
cache	13–11	0.01	15%	24 Jul →
anubis	15–15	0.05	12%	24 Jul →
nuke	4–13	-0.08	16%	21 Jul →
office	13–7	0.03	5%	21 Jul →
inferno	5–13	0.02	17%	21 Jul →
anubis	13–10	0.08	20%	20 Jul →
ancient	13–11	0.01	15%	20 Jul →
mirage	7–13	0.01	9%	20 Jul →
mirage	13–9	0.06	9%	16 Jul →
inferno	13–7	0.08	19%	16 Jul →
cache	13–9	0.11	18%	16 Jul →
inferno	10–13	-0.02	18%	15 Jul →
cache	13–11	0.07	14%	14 Jul →
nuke	10–13	0.02	22%	14 Jul →
cache	16–13	0.04	13%	14 Jul →
anubis	15–15	-0.04	22%	14 Jul →
mirage	15–15	0.02	15%	14 Jul →
cache	13–8	0.07	15%	14 Jul →
mirage	13–9	0.01	20%	14 Jul →
mirage	11–13	0.06	10%	14 Jul →
mirage	13–11	0.02	10%	13 Jul →
nuke	5–13	0.04	6%	13 Jul →
inferno	9–13	0.03	14%	13 Jul →
inferno	13–8	0.07	18%	9 Jul →
office	13–11	0.06	12%	9 Jul →
dust2	13–9	0.03	14%	9 Jul →
overpass	11–13	0.03	21%	8 Jul →
office	13–8	-0.01	22%	8 Jul →
inferno	13–5	0.07	10%	8 Jul →
mirage	13–8	0.03	9%	5 Jul →
mirage	8–13	-0.03	18%	3 Jul →
inferno	9–13	0.01	25%	3 Jul →
mirage	7–2	0.01	21%	3 Jul →
inferno	9–7	0.08	30%	2 Jul →
nuke	13–11	0.08	23%	2 Jul →
cache	7–13	0.05	22%	1 Jul →
overpass	13–8	0.07	21%	1 Jul →
dust2	13–2	0.04	27%	30 Jun →
nuke	9–13	0.03	27%	30 Jun →
inferno	13–9	0.02	37%	29 Jun →
nuke	9–13	-0.07	19%	29 Jun →
cache	6–13	0.00	13%	29 Jun →
dust2	13–11	-0.00	20%	29 Jun →
mirage	8–13	0.00	17%	29 Jun →
inferno	11–13	0.07	12%	28 Jun →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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