LlamaThrust — CS2 Stats

76561198165507457[U:1:205241729]✓ No bans

568Tracked matches39%Win rate2021Tracked since

CSDB Rating3.1 Learning

WingmanGold Nova II

Ladder ranks via Leetify

Performance scores

Aim40

Positioning37

Utility23

0–100 skill scores via Leetify.

Recent form

STEADY40–51–9Last 10040%Win rateWWLWLLLLWL

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

Aim4.0

Aggression0.0

Utility2.3

Positioning3.7

Opening Duels0.0

Clutch0.0

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 63% 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

T-side openings. Opening success drops from 31% on CT to 9% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 619ms 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

Aim4.0

Positioning3.7

Utility2.3

Mechanics4.7

Opening Duels0.1

Win Impact1.4

Composite 3.1/10 (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 time634ms−19ms

first ⅓ avg 653ms → last ⅓ avg 634ms

Headshot accuracy17.6%+2.8%

first ⅓ avg 14.9% → last ⅓ avg 17.6%

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

0.17Best rating — train 5–0

13–2Biggest win — cache

4Longest win streak

W2Current streak

11–7In matches decided by ≤2 rounds

1Overtime games

Map breakdown

wardenBest map · 56% over 9ancientWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	21	11–10	52%	-0.04
train	C	10	4–6	40%	-0.03
warden	A	9	5–4	56%	-0.04
inferno	C	8	3–5	38%	-0.06
vertigo	C	8	3–5	38%	-0.05
ancient	D	7	1–6	14%	-0.05
mirage	C	7	3–4	43%	-0.06
office	B	6	3–3	50%	-0.05
italy	D	6	1–5	17%	0.02
boulder	C	5	2–3	40%	-0.04
overpass	—	4	3–1	75%	-0.03
shelter	—	2	0–2	0%	-0.07
nuke	—	2	0–2	0%	-0.07
alpine	—	2	0–2	0%	-0.01
anubis	—	1	0–1	0%	-0.01
dust2	—	1	0–1	0%	-0.08
poseidon	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

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

Faceit stats

Combat

17Matches

53%Win rate

0.51Avg K/D

49.4ADR

44%Headshot %

Clutches & streaks

12%1v1 clutch win

22%1v2 clutch win

3Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	6	50%	0.58	9.8
Cache	3	33%	0.60	9.7
Anubis	3	100%	0.40	5.0
Ancient	3	33%	0.43	8.0
Nuke	1	0%	0.50	11.0
Vertigo	1	100%	0.47	14.0

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.

16.0%Headshot accuracy

28.0%Accuracy (enemy spotted)

31.1%Spray accuracy

71.3%Counter-strafing

10.6°Preaim

619msReaction time

8.6%T opening success

31.2%CT opening success

0.34Enemies flashed / flash

2.9%Flash assists

5.03HE damage / grenade

1.82Flashes / 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 0.3418 — 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 8.6319% — 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.

14% win rate across 7 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
ancient	16–14	-0.06	11%	24 Aug →
inferno	13–7	-0.06	10%	24 Aug →
cache	7–13	0.04	24%	23 Aug →
mirage	13–3	-0.04	20%	23 Aug →
office	2–13	-0.13	9%	23 Aug →
inferno	8–13	-0.08	21%	17 Aug →
office	11–13	-0.07	7%	17 Aug →
italy	7–13	-0.04	35%	15 Aug →
cache	13–5	-0.01	24%	10 Aug →
italy	5–13	-0.01	29%	7 Aug →
vertigo	12–12	-0.03	18%	7 Aug →
inferno	6–13	-0.05	19%	6 Aug →
vertigo	13–10	-0.07	23%	5 Aug →
train	9–13	-0.07	28%	5 Aug →
train	8–13	-0.00	14%	4 Aug →
shelter	8–13	-0.08	25%	3 Aug →
boulder	7–13	-0.06	5%	3 Aug →
ancient	4–13	-0.06	0%	3 Aug →
nuke	6–13	-0.06	14%	3 Aug →
cache	13–7	-0.01	11%	3 Aug →
mirage	13–11	-0.08	6%	1 Aug →
boulder	10–13	0.03	13%	1 Aug →
cache	10–13	-0.06	25%	1 Aug →
train	5–0	0.17	21%	30 Jul →
boulder	13–10	-0.04	7%	28 Jul →
cache	13–9	-0.01	20%	27 Jul →
boulder	13–10	-0.04	8%	26 Jul →
vertigo	4–13	-0.06	23%	26 Jul →
boulder	12–12	-0.10	12%	25 Jul →
ancient	9–13	-0.09	7%	25 Jul →
vertigo	4–13	-0.08	70%	25 Jul →
train	13–9	-0.01	12%	25 Jul →
inferno	4–13	-0.13	11%	20 Jul →
vertigo	10–4	-0.02	15%	17 Jul →
shelter	2–13	-0.06	11%	17 Jul →
cache	13–8	-0.10	10%	13 Jul →
office	8–13	-0.04	14%	13 Jul →
cache	8–13	-0.08	5%	5 Jul →
inferno	10–13	-0.05	10%	4 Jul →
italy	13–7	0.07	13%	4 Jul →
warden	13–8	-0.05	5%	4 Jul →
mirage	13–7	-0.05	5%	1 Jul →
mirage	8–13	-0.10	18%	28 Jun →
italy	11–13	-0.07	26%	27 Jun →
warden	13–11	-0.03	6%	23 Jun →
ancient	11–13	-0.02	8%	22 Jun →
warden	12–12	-0.01	10%	21 Jun →
train	5–13	-0.07	14%	21 Jun →
cache	5–13	-0.05	17%	20 Jun →
anubis	12–12	-0.01	11%	19 Jun →
inferno	13–3	-0.05	11%	19 Jun →
train	11–13	-0.08	8%	19 Jun →
vertigo	13–7	0.05	13%	13 Jun →
warden	9–13	-0.08	29%	13 Jun →
mirage	6–13	-0.04	32%	13 Jun →
train	8–13	-0.07	13%	6 Jun →
italy	9–13	0.02	17%	14 May →
cache	13–8	0.04	20%	14 May →
office	13–11	0.06	22%	14 May →
office	13–8	-0.05	14%	12 May →
ancient	11–13	-0.01	14%	11 May →
alpine	12–12	-0.00	24%	11 May →
nuke	12–12	-0.07	16%	10 May →
cache	11–13	-0.07	27%	10 May →
cache	8–13	-0.06	18%	10 May →
warden	12–12	-0.06	19%	9 May →
cache	13–2	0.06	35%	9 May →
cache	7–13	-0.10	7%	9 May →
cache	10–13	-0.09	18%	6 May →
cache	13–10	-0.02	18%	6 May →
cache	13–7	-0.02	10%	2 May →
cache	7–13	-0.04	24%	2 May →
cache	12–12	-0.06	9%	2 May →
cache	13–5	-0.05	11%	29 Apr →
cache	13–11	-0.05	6%	29 Apr →
cache	13–11	-0.05	14%	29 Apr →
mirage	3–13	-0.09	0%	26 Apr →
overpass	13–11	-0.04	15%	26 Apr →
italy	6–13	0.16	27%	26 Apr →
vertigo	11–13	-0.08	17%	26 Apr →
train	13–5	-0.05	11%	26 Apr →
inferno	12–12	-0.05	18%	26 Apr →
warden	6–13	-0.01	13%	25 Apr →
train	13–9	0.02	21%	23 Apr →
train	8–13	-0.12	6%	21 Apr →
warden	6–5	-0.08	38%	20 Apr →
mirage	3–13	-0.05	25%	19 Apr →
overpass	13–7	0.04	16%	19 Apr →
alpine	7–13	-0.02	16%	18 Apr →
office	13–10	-0.07	8%	18 Apr →
overpass	13–11	-0.04	10%	17 Apr →
inferno	13–9	-0.05	33%	16 Apr →
warden	13–11	-0.02	12%	14 Apr →
vertigo	2–13	-0.09	7%	13 Apr →
ancient	7–13	-0.00	20%	13 Apr →
dust2	5–13	-0.08	13%	12 Apr →
overpass	10–13	-0.07	6%	12 Apr →
poseidon	9–7	0.02	23%	12 Apr →
ancient	8–13	-0.08	11%	10 Apr →
warden	13–5	-0.05	12%	7 Apr →