Kermapiirakka — CS2 Stats

FI76561198871806585[U:1:911540857]Steam profile ↗✓ No bans

2,525Tracked matches47%Win rate2021Tracked since

CSDB Rating6.5 SolidAggressive Rifler

Premier CS Rating24,467Top 50% of 819 CSDB-tracked playersPink band · top ~3.6% of ranked players (population est.)

CSDB Leaderboard#2699 of 13954 tracked

FaceitLevel 10 · 2,130 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim79

Positioning61

Utility70

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateLWLWLWLLLW

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.9

Aggression7.3

Utility7.0

Positioning6.1

Opening Duels2.7

Clutch3.4

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 Twistzz 93% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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. 559ms 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

Aim7.9

Positioning6.1

Utility7.0

Mechanics7.3

Opening Duels2.7

Win Impact3.9

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time545ms−33ms

first ⅓ avg 578ms → last ⅓ avg 545ms

Headshot accuracy20.8%−3.4%

first ⅓ avg 24.2% → last ⅓ avg 20.8%

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

0.41Best rating — nuke 9–0

13–0Biggest win — anubis

7Longest win streak

12–8In matches decided by ≤2 rounds

5Overtime games

Map breakdown

ancientBest map · 80% over 10infernoWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	25	13–12	52%	0.03
dust2	C	17	7–10	41%	-0.00
nuke	A	15	9–6	60%	0.05
anubis	C	11	4–7	36%	0.02
inferno	D	10	3–7	30%	0.03
ancient	S	10	8–2	80%	0.03
cache	S	10	7–3	70%	0.02
poseidon	—	1	0–1	0%	-0.01
overpass	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,741Matches

50%Win rate

1.09Avg K/D

77.9ADR

54%Headshot %

Clutches & streaks

37%1v1 clutch win

22%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	489	50%	1.04	14.7
Ancient	297	55%	1.09	15.2
Dust2	289	43%	1.05	15.0
Nuke	216	57%	1.19	16.1
Anubis	172	51%	1.11	15.9
Inferno	158	52%	1.13	15.2
Overpass	59	49%	1.11	16.0
Train	34	35%	0.96	14.2

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.

20.7%Headshot accuracy

33.5%Accuracy (enemy spotted)

38.3%Spray accuracy

82.7%Counter-strafing

8.8°Preaim

559msReaction time

35.3%T opening success

46.1%CT opening success

0.60Enemies flashed / flash

8.3%Flash assists

9.75HE damage / grenade

12.38Flashes / 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 35.3049% — 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.

30% 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	9–13	-0.00	22%	28 Aug →
mirage	13–11	0.09	20%	27 Aug →
nuke	9–13	-0.00	16%	27 Aug →
mirage	13–7	0.01	26%	23 Aug →
dust2	9–13	0.02	17%	23 Aug →
ancient	13–9	0.04	18%	23 Aug →
dust2	8–13	-0.02	25%	23 Aug →
dust2	4–13	-0.06	14%	23 Aug →
mirage	6–13	0.02	27%	23 Aug →
anubis	13–9	0.02	16%	23 Aug →
mirage	7–13	-0.03	18%	22 Aug →
inferno	13–1	0.05	26%	22 Aug →
nuke	9–0	0.41	11%	22 Aug →
nuke	9–13	-0.02	28%	21 Aug →
dust2	19–17	-0.04	13%	20 Aug →
inferno	19–17	0.01	23%	19 Aug →
anubis	11–13	-0.03	20%	18 Aug →
anubis	5–13	0.04	25%	18 Aug →
inferno	11–13	-0.01	20%	18 Aug →
inferno	5–13	0.01	20%	18 Aug →
dust2	13–11	0.03	17%	17 Aug →
dust2	9–13	-0.02	20%	17 Aug →
nuke	13–6	0.00	24%	17 Aug →
cache	13–8	0.00	13%	17 Aug →
dust2	9–13	-0.00	21%	17 Aug →
mirage	13–7	0.07	14%	16 Aug →
dust2	8–13	-0.05	30%	16 Aug →
cache	13–7	0.09	29%	16 Aug →
mirage	13–11	0.04	23%	16 Aug →
ancient	13–7	-0.05	19%	14 Aug →
inferno	9–13	-0.00	25%	13 Aug →
mirage	13–7	-0.00	31%	13 Aug →
anubis	8–13	-0.04	17%	12 Aug →
cache	5–13	-0.00	26%	11 Aug →
dust2	13–9	-0.00	37%	10 Aug →
cache	16–14	0.03	26%	9 Aug →
nuke	13–7	0.03	20%	9 Aug →
mirage	13–4	0.03	18%	9 Aug →
mirage	13–10	0.12	37%	7 Aug →
mirage	13–11	0.08	26%	5 Aug →
ancient	13–11	0.06	16%	4 Aug →
nuke	4–13	-0.02	13%	3 Aug →
mirage	3–13	-0.04	16%	2 Aug →
ancient	9–13	-0.01	22%	2 Aug →
ancient	13–5	0.04	27%	2 Aug →
cache	11–13	-0.05	22%	2 Aug →
nuke	9–4	0.24	28%	2 Aug →
cache	13–5	0.01	29%	1 Aug →
cache	1–13	-0.09	17%	31 Jul →
dust2	13–3	0.03	29%	30 Jul →
mirage	11–13	0.03	25%	26 Jul →
mirage	13–8	0.09	17%	26 Jul →
mirage	11–13	0.03	21%	26 Jul →
cache	13–10	-0.00	29%	25 Jul →
dust2	2–13	-0.01	20%	25 Jul →
dust2	4–13	0.05	18%	25 Jul →
poseidon	4–9	-0.01	23%	25 Jul →
anubis	13–9	-0.03	13%	23 Jul →
cache	13–10	0.02	9%	23 Jul →
nuke	13–11	0.02	23%	23 Jul →
mirage	1–13	-0.03	19%	19 Jul →
mirage	1–13	0.06	27%	19 Jul →
mirage	6–13	-0.05	26%	15 Jul →
anubis	6–13	0.07	17%	15 Jul →
anubis	13–10	0.04	16%	13 Jul →
nuke	0–13	-0.09	23%	12 Jul →
nuke	13–6	0.02	27%	11 Jul →
anubis	13–0	0.12	35%	11 Jul →
cache	13–7	0.15	23%	11 Jul →
ancient	13–8	0.11	17%	9 Jul →
ancient	13–11	0.07	13%	9 Jul →
mirage	3–13	0.02	27%	9 Jul →
mirage	13–2	0.12	25%	9 Jul →
ancient	13–8	-0.00	21%	5 Jul →
overpass	13–8	0.06	17%	5 Jul →
anubis	11–13	0.05	13%	4 Jul →
mirage	5–13	0.00	31%	3 Jul →
ancient	13–11	0.05	21%	3 Jul →
ancient	11–13	0.02	27%	3 Jul →
nuke	10–13	0.03	21%	3 Jul →
inferno	13–5	0.12	24%	1 Jul →
inferno	9–13	0.02	24%	1 Jul →
anubis	8–13	0.00	32%	1 Jul →
inferno	2–13	-0.02	31%	29 Jun →
inferno	5–13	0.11	22%	28 Jun →
nuke	13–10	-0.03	19%	28 Jun →
mirage	13–8	-0.04	24%	28 Jun →
mirage	13–4	0.11	16%	28 Jun →
dust2	16–14	0.04	19%	28 Jun →
nuke	5–13	0.02	30%	28 Jun →
dust2	11–13	-0.01	18%	28 Jun →
anubis	4–13	-0.08	29%	27 Jun →
mirage	9–13	0.04	27%	27 Jun →
nuke	13–7	0.06	31%	27 Jun →
dust2	13–8	-0.00	15%	27 Jun →
dust2	15–15	-0.02	21%	26 Jun →
mirage	13–2	0.06	27%	26 Jun →
nuke	11–4	0.04	38%	26 Jun →
mirage	3–13	-0.03	25%	26 Jun →
dust2	13–4	0.02	32%	26 Jun →