Trip — CS2 Stats

US76561198831579538[U:1:871313810]Steam profile ↗✓ No bans

4,840Tracked matches56%Win rate2020Tracked since

CSDB Rating4.1 Developing

WingmanSilver Elite Master

Ladder ranks via Leetify

Performance scores

Aim52

Positioning27

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY47–46–7Last 10047%Win rateWLLLWWLLWT

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

Player DNA

Aim5.2

Aggression1.7

Utility4.6

Positioning2.7

Opening Duels0.0

Clutch3.2

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 71% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

T-side openings. Opening success drops from 37% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 626ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Positioning2.7

Utility4.6

Mechanics3.8

Opening Duels0.9

Win Impact6.9

Composite 4.1/10 (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 rating-0.04−0.03

first ⅓ avg -0.00 → last ⅓ avg -0.04

Reaction time625ms−45ms

first ⅓ avg 670ms → last ⅓ avg 625ms

Headshot accuracy15.7%−6.9%

first ⅓ avg 22.6% → last ⅓ avg 15.7%

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 — anubis 8–1

13–1Biggest win — train

7Longest win streak

7–12In matches decided by ≤2 rounds

2Overtime games

Map breakdown

vertigoBest map · 75% over 8dust2Weakest map · 26% over 19

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	19	5–14	26%	-0.04
anubis	B	12	6–6	50%	-0.01
cache	A	12	7–5	58%	-0.02
nuke	A	11	6–5	55%	-0.02
mirage	D	9	3–6	33%	-0.02
vertigo	S	8	6–2	75%	-0.01
train	A	7	4–3	57%	0.00
inferno	A	5	3–2	60%	-0.02
office	A	5	3–2	60%	0.02
ancient	—	4	2–2	50%	0.01
boulder	—	2	1–1	50%	-0.01
fachwerk	—	2	0–2	0%	-0.04
overpass	—	1	0–1	0%	0.04
eldorado	—	1	1–0	100%	-0.03
poseidon	—	1	0–1	0%	-0.08
debris	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (26% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,168Matches

51%Win rate

1.08Avg K/D

71.2ADR

38%Headshot %

Clutches & streaks

36%1v1 clutch win

19%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	83	49%	1.01	14.7
Anubis	55	53%	1.04	15.9
Inferno	52	46%	1.08	14.1
Vertigo	51	49%	1.07	16.8
Ancient	50	48%	0.96	15.6
Nuke	37	70%	1.13	15.5
Dust2	35	57%	1.02	14.9
Cache	9	44%	0.52	8.3

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.

16.2%Headshot accuracy

35.3%Accuracy (enemy spotted)

41.1%Spray accuracy

66.9%Counter-strafing

11.6°Preaim

626msReaction time

15.1%T opening success

36.8%CT opening success

0.62Enemies flashed / flash

10.7%Flash assists

9.20HE damage / grenade

7.62Flashes / 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 15.1062% — below the 40% mark we flag

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

26% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–10	-0.06	15%	23 Aug →
mirage	11–13	-0.07	25%	17 Aug →
train	7–13	-0.02	8%	17 Aug →
train	8–13	0.01	11%	16 Aug →
inferno	9–0	0.04	25%	16 Aug →
train	13–11	-0.02	17%	15 Aug →
vertigo	6–13	-0.02	6%	15 Aug →
mirage	14–16	-0.05	10%	11 Aug →
train	13–1	0.06	8%	9 Aug →
anubis	12–12	-0.03	15%	9 Aug →
cache	12–12	-0.06	18%	9 Aug →
dust2	4–13	-0.05	30%	9 Aug →
mirage	13–11	-0.03	9%	9 Aug →
dust2	5–13	-0.04	13%	8 Aug →
anubis	10–13	0.02	19%	8 Aug →
dust2	13–5	-0.08	26%	8 Aug →
inferno	2–11	-0.06	5%	8 Aug →
vertigo	5–0	-0.05	0%	8 Aug →
nuke	13–8	-0.01	20%	7 Aug →
anubis	13–5	-0.06	7%	7 Aug →
nuke	13–8	0.03	18%	7 Aug →
ancient	13–7	-0.07	3%	7 Aug →
cache	13–10	-0.01	13%	7 Aug →
dust2	13–10	-0.01	29%	7 Aug →
cache	12–12	-0.08	0%	7 Aug →
dust2	11–13	-0.14	15%	6 Aug →
anubis	7–13	-0.03	20%	3 Aug →
nuke	9–13	-0.10	22%	1 Aug →
cache	13–6	-0.08	25%	1 Aug →
dust2	13–10	-0.10	33%	1 Aug →
anubis	13–5	-0.02	21%	1 Aug →
dust2	11–13	0.03	10%	1 Aug →
dust2	13–11	-0.08	19%	31 Jul →
vertigo	7–13	-0.04	26%	31 Jul →
anubis	2–13	-0.06	22%	30 Jul →
vertigo	13–7	-0.04	50%	29 Jul →
vertigo	13–3	0.01	18%	29 Jul →
dust2	11–13	-0.02	20%	28 Jul →
train	2–11	-0.02	21%	27 Jul →
cache	13–3	0.00	14%	27 Jul →
dust2	11–13	-0.07	47%	27 Jul →
dust2	1–13	-0.04	67%	26 Jul →
anubis	5–13	-0.03	83%	25 Jul →
cache	13–11	0.06	23%	25 Jul →
train	12–5	-0.02	21%	25 Jul →
mirage	13–7	0.03	18%	25 Jul →
mirage	13–16	-0.01	34%	23 Jul →
inferno	12–5	-0.03	17%	23 Jul →
anubis	13–4	-0.02	38%	23 Jul →
anubis	8–1	0.14	24%	23 Jul →
nuke	5–13	0.01	26%	21 Jul →
inferno	7–8	0.01	18%	19 Jul →
office	13–8	0.07	38%	19 Jul →
mirage	6–13	-0.01	15%	18 Jul →
nuke	6–13	-0.05	17%	18 Jul →
cache	13–4	0.01	21%	18 Jul →
dust2	11–13	-0.04	26%	18 Jul →
boulder	2–13	-0.00	25%	17 Jul →
anubis	13–9	-0.03	10%	17 Jul →
anubis	11–13	0.01	15%	17 Jul →
inferno	13–7	-0.06	8%	17 Jul →
nuke	13–3	-0.04	15%	17 Jul →
dust2	11–13	-0.15	10%	16 Jul →
mirage	10–13	-0.00	29%	16 Jul →
boulder	13–3	-0.01	23%	16 Jul →
cache	13–8	-0.02	16%	16 Jul →
vertigo	13–9	0.00	21%	15 Jul →
nuke	13–7	-0.07	18%	15 Jul →
ancient	13–4	0.04	24%	15 Jul →
mirage	3–0	0.04	17%	15 Jul →
ancient	5–13	0.09	33%	15 Jul →
dust2	7–13	-0.02	13%	14 Jul →
cache	12–12	0.00	27%	14 Jul →
vertigo	13–9	0.04	42%	14 Jul →
cache	12–12	0.01	29%	14 Jul →
office	13–4	-0.01	31%	14 Jul →
cache	11–13	-0.03	33%	13 Jul →
fachwerk	3–13	-0.04	24%	13 Jul →
dust2	13–11	0.02	9%	13 Jul →
nuke	11–13	0.06	18%	13 Jul →
overpass	4–13	0.04	19%	13 Jul →
ancient	10–13	-0.04	11%	13 Jul →
mirage	12–12	-0.04	15%	13 Jul →
dust2	7–13	-0.02	26%	12 Jul →
vertigo	13–6	0.04	33%	12 Jul →
dust2	7–13	0.02	42%	12 Jul →
nuke	13–6	-0.05	35%	12 Jul →
cache	13–11	-0.02	18%	12 Jul →
dust2	7–13	0.03	32%	12 Jul →
train	9–0	0.02	22%	12 Jul →
office	7–13	-0.02	24%	12 Jul →
eldorado	9–7	-0.03	17%	11 Jul →
poseidon	6–9	-0.08	21%	11 Jul →
debris	6–9	-0.08	16%	11 Jul →
office	1–7	0.00	0%	11 Jul →
office	13–10	0.05	22%	11 Jul →
fachwerk	12–12	-0.04	19%	11 Jul →
dust2	3–13	-0.08	13%	10 Jul →
nuke	13–8	-0.03	22%	10 Jul →
nuke	7–13	0.02	20%	9 Jul →