Triggered_501 — CS2 Stats

76561199166386667[U:1:1206120939]Steam profile ↗✓ No bans

248Tracked matches45%Win rate2023Tracked since

CSDB Rating3.1 Learning

Premier CS Rating4,870Grey band · top ~79.3% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim31

Positioning39

Utility35

0–100 skill scores via Leetify.

Recent form

STEADY43–51–6Last 10043%Win rateWWWLLLLWWL

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Aim3.1

Aggression2.6

Utility3.5

Positioning3.9

Opening Duels0.0

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 66% 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 842ms 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

Aim3.1

Positioning3.9

Utility3.5

Mechanics6.2

Opening Duels0.0

Win Impact3.3

Composite 3.1/10 (Learning), 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 rating-0.03+0.01

first ⅓ avg -0.04 → last ⅓ avg -0.03

Reaction time843ms+2ms

first ⅓ avg 841ms → last ⅓ avg 843ms

Headshot accuracy15.4%−1.9%

first ⅓ avg 17.3% → last ⅓ avg 15.4%

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

0.08Best rating — dust2 13–5

13–1Biggest win — cache

6Longest win streak

W3Current streak

7–6In matches decided by ≤2 rounds

1Overtime games

Map breakdown

mirageBest map · 63% over 19ancientWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	23	7–16	30%	-0.03
mirage	A	19	12–7	63%	-0.03
inferno	B	17	8–9	47%	-0.04
nuke	C	10	4–6	40%	-0.02
cache	B	6	3–3	50%	-0.02
train	B	6	3–3	50%	-0.04
ancient	D	6	1–5	17%	-0.03
vertigo	—	4	2–2	50%	-0.04
anubis	—	4	2–2	50%	-0.02
overpass	—	4	1–3	25%	-0.04
office	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

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

15.5%Headshot accuracy

32.2%Accuracy (enemy spotted)

31.9%Spray accuracy

77.8%Counter-strafing

10.3°Preaim

842msReaction time

28.2%T opening success

27.6%CT opening success

0.65Enemies flashed / flash

3.8%Flash assists

8.67HE damage / grenade

2.99Flashes / 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 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 842.4123ms — above the 700ms mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.9917 — below the 4 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 28.2339% — 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.

17% win rate across 6 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	13–5	-0.02	6%	5 Jul →
mirage	13–7	0.01	14%	1 Jul →
cache	13–8	-0.06	14%	30 Jun →
vertigo	8–13	-0.04	9%	30 Jun →
cache	11–13	-0.01	12%	30 Jun →
train	3–13	-0.12	11%	30 Jun →
dust2	5–13	-0.07	20%	28 Jun →
inferno	13–3	-0.03	20%	28 Jun →
vertigo	13–7	-0.07	27%	25 Jun →
cache	4–13	-0.09	24%	25 Jun →
inferno	13–10	-0.06	16%	23 Jun →
train	13–11	-0.11	16%	23 Jun →
ancient	9–13	-0.06	3%	23 Jun →
cache	9–13	-0.04	17%	23 Jun →
cache	13–1	0.08	35%	23 Jun →
nuke	13–11	0.03	26%	23 Jun →
dust2	9–13	-0.09	3%	23 Jun →
mirage	6–13	-0.03	15%	9 Jun →
dust2	10–13	0.02	15%	1 Apr →
mirage	13–10	0.06	22%	31 Mar →
dust2	13–4	0.04	10%	31 Mar →
dust2	12–12	0.00	19%	29 Mar →
inferno	8–13	-0.05	5%	29 Mar →
ancient	3–13	-0.01	9%	28 Mar →
dust2	10–13	-0.02	24%	28 Mar →
dust2	5–13	-0.04	18%	26 Mar →
mirage	8–13	-0.07	14%	26 Mar →
dust2	13–4	0.00	13%	25 Mar →
ancient	10–13	-0.08	5%	25 Mar →
nuke	13–4	0.00	30%	25 Mar →
mirage	13–10	0.01	20%	25 Mar →
anubis	5–13	-0.07	13%	23 Mar →
dust2	12–12	-0.05	5%	23 Mar →
inferno	13–5	0.02	9%	23 Mar →
mirage	13–3	-0.01	17%	22 Mar →
mirage	11–13	-0.08	12%	22 Mar →
dust2	5–13	-0.02	15%	22 Mar →
nuke	13–10	0.06	13%	22 Mar →
dust2	13–2	0.00	40%	22 Mar →
train	13–7	-0.03	29%	22 Mar →
anubis	13–10	0.05	10%	22 Mar →
dust2	9–13	-0.03	14%	21 Mar →
inferno	11–13	-0.05	12%	21 Mar →
dust2	12–12	-0.03	20%	21 Mar →
vertigo	6–13	0.02	24%	21 Mar →
inferno	13–8	0.00	16%	20 Mar →
anubis	16–14	-0.04	18%	20 Mar →
mirage	13–6	-0.04	24%	20 Mar →
mirage	13–11	-0.03	16%	20 Mar →
inferno	13–9	-0.06	29%	20 Mar →
dust2	13–5	0.08	17%	20 Mar →
inferno	3–13	-0.11	21%	18 Mar →
dust2	13–10	-0.09	25%	18 Mar →
inferno	11–13	-0.06	10%	18 Mar →
nuke	13–5	0.02	12%	18 Mar →
mirage	1–7	-0.12	0%	18 Mar →
dust2	13–11	0.01	23%	17 Mar →
mirage	13–4	0.08	13%	17 Mar →
inferno	9–13	-0.04	12%	16 Mar →
inferno	3–13	-0.06	31%	16 Mar →
overpass	13–8	-0.04	19%	16 Mar →
nuke	12–12	-0.06	10%	16 Mar →
inferno	13–9	0.05	15%	16 Mar →
nuke	5–13	-0.04	19%	16 Mar →
inferno	13–3	0.08	24%	16 Mar →
mirage	13–10	-0.05	19%	16 Mar →
mirage	13–8	0.06	26%	16 Mar →
mirage	10–13	-0.02	15%	16 Mar →
nuke	11–13	-0.04	19%	16 Mar →
inferno	4–13	-0.01	18%	16 Mar →
inferno	13–5	-0.02	8%	16 Mar →
vertigo	13–4	-0.05	21%	16 Mar →
mirage	13–9	0.05	35%	16 Mar →
train	13–6	0.04	22%	16 Mar →
dust2	12–12	-0.09	15%	16 Mar →
ancient	13–5	0.04	13%	16 Mar →
nuke	8–13	-0.05	18%	15 Mar →
inferno	3–13	-0.08	24%	15 Mar →
nuke	6–13	-0.06	20%	15 Mar →
train	4–13	-0.04	13%	14 Mar →
overpass	5–13	-0.03	17%	14 Mar →
dust2	7–13	-0.07	10%	14 Mar →
office	6–13	0.03	13%	14 Mar →
inferno	3–13	-0.12	14%	13 Mar →
ancient	6–13	-0.07	3%	13 Mar →
dust2	12–12	-0.05	12%	12 Mar →
overpass	10–13	-0.10	8%	12 Mar →
mirage	11–13	-0.06	13%	12 Mar →
dust2	7–13	-0.08	6%	12 Mar →
mirage	13–10	-0.09	19%	12 Mar →
overpass	8–13	0.01	19%	11 Mar →
mirage	13–11	-0.07	15%	11 Mar →
ancient	2–13	-0.02	28%	11 Mar →
dust2	3–13	-0.06	33%	10 Mar →
anubis	9–13	-0.03	7%	10 Mar →
dust2	4–13	-0.06	25%	10 Mar →
train	6–13	0.02	21%	9 Mar →
dust2	7–7	-0.09	21%	9 Mar →
mirage	7–13	-0.08	20%	9 Mar →
nuke	5–13	-0.07	26%	9 Mar →