Kupsis Onetaps — CS2 Stats

76561198748124383[U:1:787858655]Steam profile ↗✓ No bans

213Tracked matches48%Win rate2026Tracked since

CSDB Rating3.3 Learning

Ladder ranks via Leetify

Performance scores

Aim38

Positioning40

Utility31

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateLLWLWLWWTW

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

Player DNA

Aim3.8

Aggression5.1

Utility3.1

Positioning4.0

Opening Duels1.1

Clutch3.0

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 74% playstyle similarity

Most alike: opening-fight frequency, 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. 590ms 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

Aim3.8

Positioning4.0

Utility3.1

Mechanics4.5

Opening Duels1.1

Win Impact4.4

Composite 3.3/10 (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-0.04−0.01

first ⅓ avg -0.04 → last ⅓ avg -0.04

Reaction time590ms+3ms

first ⅓ avg 587ms → last ⅓ avg 590ms

Headshot accuracy12.3%+0.6%

first ⅓ avg 11.7% → last ⅓ avg 12.3%

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.

Highlights

0.06Best rating — dust2 7–1

13–3Biggest win — ancient

6Longest win streak

L2Current streak

11–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 67% over 6anubisWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	34	16–18	47%	-0.04
ancient	B	18	9–9	50%	-0.04
inferno	C	14	6–8	43%	-0.05
nuke	B	12	6–6	50%	-0.04
cache	S	6	4–2	67%	-0.03
anubis	D	6	1–5	17%	-0.07
overpass	C	5	2–3	40%	-0.03
mirage	—	4	1–3	25%	-0.07
train	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

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

Faceit stats

Combat

49Matches

43%Win rate

0.84Avg K/D

64.2ADR

39%Headshot %

Clutches & streaks

35%1v1 clutch win

14%1v2 clutch win

2Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	13	31%	0.61	11.0
Ancient	10	60%	0.69	8.5
Nuke	8	38%	0.72	13.0
Inferno	6	50%	1.30	14.0
Anubis	5	20%	0.70	11.6
Mirage	3	33%	0.76	14.0
Cache	3	67%	2.19	13.3
Overpass	1	100%	0.59	10.0

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.

12.6%Headshot accuracy

28.1%Accuracy (enemy spotted)

27.9%Spray accuracy

70.1%Counter-strafing

9.5°Preaim

590msReaction time

35.2%T opening success

33.2%CT opening success

0.39Enemies flashed / flash

0.3%Flash assists

7.54HE damage / grenade

3.57Flashes / 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 12.5624% — 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 0.3866 — 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 35.2481% — 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.

17% win rate across 6 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	4–13	-0.06	9%	30 Aug →
nuke	6–13	-0.10	7%	23 Aug →
ancient	13–5	-0.04	15%	23 Aug →
dust2	11–13	-0.01	21%	23 Aug →
dust2	13–10	-0.06	14%	23 Aug →
nuke	8–13	-0.05	8%	17 Aug →
dust2	13–9	0.03	20%	17 Aug →
nuke	13–10	-0.06	9%	17 Aug →
nuke	15–15	-0.04	10%	16 Aug →
cache	13–10	-0.04	15%	9 Aug →
anubis	5–13	-0.06	8%	9 Aug →
ancient	3–13	-0.08	11%	23 Jul →
dust2	2–13	-0.07	17%	23 Jul →
inferno	13–7	-0.04	13%	22 Jul →
dust2	13–5	-0.07	18%	22 Jul →
nuke	13–11	0.03	22%	18 Jul →
cache	13–10	0.03	10%	12 Jul →
nuke	13–10	-0.07	14%	27 Jun →
dust2	13–10	-0.05	20%	18 Jun →
ancient	7–13	-0.06	2%	18 Jun →
cache	9–13	-0.07	22%	13 Jun →
anubis	9–13	-0.09	5%	31 May →
nuke	13–9	-0.00	16%	31 May →
dust2	13–7	-0.01	12%	31 May →
ancient	7–13	-0.05	4%	31 May →
dust2	13–11	-0.00	14%	31 May →
dust2	3–13	-0.09	9%	31 May →
inferno	12–16	-0.05	8%	25 May →
dust2	8–13	-0.06	9%	25 May →
dust2	3–13	-0.08	12%	25 May →
anubis	5–13	-0.12	14%	24 May →
overpass	13–11	-0.04	3%	24 May →
dust2	9–13	0.04	15%	20 May →
inferno	16–13	-0.07	12%	19 May →
nuke	13–11	-0.04	12%	19 May →
ancient	8–13	-0.10	11%	19 May →
anubis	9–13	-0.07	12%	18 May →
nuke	16–14	-0.01	8%	13 May →
ancient	13–4	-0.04	0%	13 May →
anubis	7–13	-0.03	18%	12 May →
nuke	15–15	-0.06	9%	11 May →
ancient	13–5	-0.04	3%	11 May →
dust2	13–9	-0.08	8%	11 May →
dust2	11–13	-0.07	16%	11 May →
ancient	13–9	0.01	19%	10 May →
anubis	13–9	-0.05	8%	10 May →
cache	6–13	-0.03	7%	6 May →
dust2	13–7	-0.06	9%	5 May →
cache	13–5	-0.08	12%	5 May →
dust2	3–13	-0.09	18%	5 May →
inferno	8–13	-0.03	11%	5 May →
ancient	13–3	-0.01	4%	4 May →
mirage	6–13	-0.05	8%	3 May →
ancient	7–13	0.01	16%	3 May →
dust2	8–13	-0.04	14%	30 Apr →
mirage	10–13	-0.08	17%	30 Apr →
ancient	13–4	-0.05	16%	30 Apr →
overpass	7–13	-0.04	11%	30 Apr →
ancient	11–13	-0.03	13%	29 Apr →
mirage	13–7	-0.06	15%	29 Apr →
dust2	13–10	-0.05	16%	29 Apr →
dust2	16–14	-0.08	11%	29 Apr →
dust2	8–13	-0.07	20%	29 Apr →
cache	13–3	-0.02	19%	29 Apr →
inferno	8–13	-0.05	20%	28 Apr →
inferno	13–11	-0.05	16%	27 Apr →
inferno	13–8	-0.04	18%	27 Apr →
inferno	10–13	-0.05	15%	25 Apr →
dust2	7–1	0.06	15%	24 Apr →
ancient	13–10	-0.09	6%	24 Apr →
dust2	13–10	-0.05	5%	23 Apr →
overpass	13–11	-0.08	9%	23 Apr →
nuke	3–13	-0.02	10%	13 Apr →
dust2	13–6	-0.02	11%	13 Apr →
nuke	6–13	-0.04	11%	13 Apr →
train	4–13	-0.02	12%	13 Apr →
ancient	8–13	-0.05	13%	6 Apr →
ancient	10–13	0.01	8%	5 Apr →
dust2	13–5	0.05	14%	5 Apr →
dust2	13–11	-0.02	11%	5 Apr →
mirage	11–13	-0.08	9%	5 Apr →
ancient	6–13	-0.13	4%	2 Apr →
dust2	13–3	-0.02	18%	1 Apr →
ancient	13–7	-0.07	21%	1 Apr →
inferno	13–11	-0.07	13%	31 Mar →
overpass	11–13	-0.01	10%	31 Mar →
dust2	8–13	-0.07	9%	31 Mar →
inferno	5–13	-0.08	12%	31 Mar →
inferno	9–7	-0.04	13%	31 Mar →
dust2	7–13	-0.02	12%	31 Mar →
dust2	13–16	-0.06	14%	30 Mar →
overpass	15–15	0.00	17%	30 Mar →
inferno	6–13	-0.03	15%	27 Mar →
ancient	13–6	0.04	10%	26 Mar →
dust2	3–13	-0.08	27%	26 Mar →
dust2	11–13	-0.04	4%	25 Mar →
inferno	13–16	-0.03	11%	25 Mar →
dust2	5–13	-0.09	9%	25 Mar →
dust2	11–13	-0.03	8%	25 Mar →
inferno	4–13	-0.04	9%	25 Mar →