kyrpä — CS2 Stats

EE76561198980409430[U:1:1020143702]Steam profile ↗✓ No bans

168Tracked matches71%Win rate2023Tracked since

CSDB Rating4.0 Developing

WingmanGold Nova I

Ladder ranks via Leetify

Performance scores

Aim38

Positioning50

Utility17

0–100 skill scores via Leetify.

Recent form

STEADY51–41–8Last 10051%Win rateLLLWWWWWLW

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

Aim3.8

Aggression6.1

Utility1.7

Positioning5.0

Opening Duels2.2

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 b1t 77% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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. 585ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim3.8

Positioning5.0

Utility1.7

Mechanics2.6

Opening Duels2.2

Win Impact10.0

Composite 4.0/10 (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-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time605ms−32ms

first ⅓ avg 636ms → last ⅓ avg 605ms

Headshot accuracy10.2%−0.1%

first ⅓ avg 10.2% → last ⅓ avg 10.2%

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

0.10Best rating — anubis 13–1

13–0Biggest win — nuke

5Longest win streak

L3Current streak

1–5In matches decided by ≤2 rounds

4Overtime games

Map breakdown

cacheBest map · 67% over 9infernoWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	25	14–11	56%	-0.01
mirage	A	14	8–6	57%	-0.04
dust2	B	13	6–7	46%	-0.03
ancient	C	13	5–8	38%	-0.00
inferno	D	10	2–8	20%	-0.02
cache	S	9	6–3	67%	-0.01
anubis	A	8	5–3	63%	0.01
train	—	4	2–2	50%	-0.02
office	—	2	2–0	100%	0.01
vertigo	—	1	1–0	100%	-0.03
italy	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches

50%Win rate

1.50Avg K/D

103.7ADR

68%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	1	100%	2.50	20.0
Ancient	1	0%	0.50	6.0

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.

9.7%Headshot accuracy

32.3%Accuracy (enemy spotted)

35.0%Spray accuracy

61.9%Counter-strafing

10.3°Preaim

585msReaction time

32.4%T opening success

45.2%CT opening success

0.28Enemies flashed / flash

0.0%Flash assists

6.74HE damage / grenade

0.75Flashes / 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 9.7042% — 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 0.2826 — 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 32.4241% — below the 40% mark we flag

Spend your practice time on Inferno

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	4–13	-0.07	6%	28 Aug →
cache	11–13	0.04	11%	28 Aug →
nuke	8–13	0.07	15%	28 Aug →
mirage	13–7	-0.03	4%	28 Aug →
vertigo	13–9	-0.03	2%	28 Aug →
anubis	13–10	0.03	5%	28 Aug →
train	13–10	0.02	15%	28 Aug →
cache	13–10	-0.04	10%	28 Aug →
dust2	7–13	0.01	11%	27 Aug →
ancient	13–8	0.06	7%	27 Aug →
nuke	9–0	-0.15	6%	26 Aug →
inferno	8–8	-0.01	19%	26 Aug →
cache	13–4	0.03	13%	26 Aug →
cache	13–2	0.01	10%	26 Aug →
office	13–9	-0.01	14%	25 Aug →
office	13–6	0.02	8%	25 Aug →
nuke	8–1	0.08	17%	25 Aug →
dust2	0–13	-0.10	9%	21 Aug →
anubis	13–10	0.04	4%	21 Aug →
nuke	13–10	-0.04	12%	19 Aug →
anubis	13–6	-0.00	5%	19 Aug →
cache	13–7	0.00	4%	19 Aug →
dust2	4–13	0.01	11%	19 Aug →
cache	13–5	-0.06	18%	15 Aug →
dust2	13–9	-0.03	12%	15 Aug →
train	12–12	-0.07	12%	14 Aug →
train	13–7	0.03	4%	14 Aug →
ancient	13–3	0.03	11%	14 Aug →
cache	13–6	-0.01	13%	7 Aug →
ancient	1–13	-0.06	16%	4 Aug →
train	12–12	-0.04	13%	3 Aug →
nuke	5–13	-0.05	5%	3 Aug →
mirage	11–13	0.03	13%	3 Aug →
ancient	7–13	-0.00	4%	20 Jul →
inferno	8–13	-0.00	6%	20 Jul →
nuke	13–6	0.04	10%	19 Jul →
nuke	13–0	0.00	0%	19 Jul →
nuke	13–7	0.03	13%	19 Jul →
nuke	13–0	0.07	67%	19 Jul →
nuke	13–1	0.09	9%	19 Jul →
nuke	1–10	-0.07	4%	14 Jul →
nuke	2–13	-0.11	8%	13 Jul →
anubis	9–13	-0.05	17%	13 Jul →
nuke	13–0	0.04	92%	11 Jul →
inferno	2–13	-0.06	7%	10 Jul →
dust2	9–13	-0.07	19%	10 Jul →
ancient	7–13	-0.06	11%	10 Jul →
nuke	7–13	-0.04	12%	10 Jul →
nuke	15–15	-0.09	11%	9 Jul →
mirage	11–13	-0.07	13%	9 Jul →
mirage	13–5	-0.09	13%	9 Jul →
anubis	4–13	-0.06	9%	9 Jul →
dust2	13–8	-0.05	16%	9 Jul →
ancient	13–6	0.02	13%	9 Jul →
dust2	9–13	-0.04	23%	6 Jul →
nuke	13–8	-0.03	5%	6 Jul →
mirage	4–13	-0.07	16%	6 Jul →
cache	2–13	-0.03	15%	6 Jul →
ancient	8–13	0.05	10%	5 Jul →
inferno	12–12	0.03	10%	5 Jul →
dust2	13–3	0.01	12%	5 Jul →
mirage	10–13	-0.01	6%	4 Jul →
ancient	1–13	-0.04	13%	2 Jul →
cache	12–12	0.01	14%	1 Jul →
inferno	9–5	-0.00	18%	29 Jun →
ancient	8–13	-0.01	10%	29 Jun →
nuke	16–13	-0.01	11%	29 Jun →
inferno	3–13	-0.03	3%	28 Jun →
mirage	4–13	-0.08	12%	28 Jun →
nuke	11–13	-0.10	15%	27 Jun →
inferno	0–13	-0.12	10%	27 Jun →
ancient	13–9	0.06	23%	26 Jun →
mirage	13–10	-0.01	18%	26 Jun →
anubis	6–13	-0.06	12%	26 Jun →
mirage	13–7	-0.03	9%	26 Jun →
dust2	13–7	-0.06	8%	26 Jun →
nuke	9–13	-0.03	11%	25 Jun →
mirage	2–13	-0.04	30%	25 Jun →
ancient	13–8	-0.03	8%	25 Jun →
nuke	13–9	-0.07	10%	25 Jun →
dust2	3–13	-0.02	9%	25 Jun →
anubis	13–10	0.09	6%	24 Jun →
nuke	15–15	-0.03	8%	23 Jun →
dust2	13–10	0.01	13%	23 Jun →
mirage	13–0	-0.03	29%	23 Jun →
inferno	3–13	0.04	14%	23 Jun →
mirage	13–10	-0.04	10%	23 Jun →
nuke	13–7	-0.04	5%	19 Jun →
dust2	10–13	-0.00	6%	17 Jun →
dust2	13–8	-0.07	2%	17 Jun →
nuke	9–13	0.09	5%	15 Jun →
nuke	5–13	0.03	4%	15 Jun →
mirage	13–7	-0.01	13%	10 Jun →
ancient	2–13	-0.03	9%	10 Jun →
anubis	13–1	0.10	8%	10 Jun →
mirage	13–10	-0.03	4%	10 Jun →
inferno	13–7	0.01	4%	10 Jun →
italy	11–13	-0.04	7%	10 Jun →
nuke	13–11	-0.02	9%	10 Jun →
ancient	15–15	-0.04	4%	31 May →