pekka22 — CS2 Stats

76561198814885482[U:1:854619754]✓ No bans

1,542Tracked matches38%Win rate2020Tracked since

CSDB Rating5.9 SolidPassive Rifler

Premier CS Rating26,352Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)

CSDB Leaderboard#1908 of 25072 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim74

Positioning43

Utility69

0–100 skill scores via Leetify.

Recent form

COLD48–49–3Last 10048%Win rateLLWLWLLTLW

Last 10 vs previous 10: -20pp win rate · +0.04 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim7.4

Aggression3.1

Utility6.9

Positioning4.3

Opening Duels0.0

Clutch3.4

Strong CT-side openerEffective flashes

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 84% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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

Strengths

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 38% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 639ms 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

Aim7.4

Positioning4.3

Utility6.9

Mechanics8.4

Opening Duels1.0

Win Impact1.0

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time642ms+35ms

first ⅓ avg 607ms → last ⅓ avg 642ms

Headshot accuracy18.8%−1.0%

first ⅓ avg 19.8% → last ⅓ avg 18.8%

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

0.12Best rating — inferno 13–6

13–1Biggest win — nuke

5Longest win streak

L2Current streak

10–6In matches decided by ≤2 rounds

13Overtime games

Map breakdown

ancientBest map · 59% over 27dust2Weakest map · 38% over 24

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	27	16–11	59%	0.02
dust2	C	24	9–15	38%	-0.00
nuke	B	20	9–11	45%	0.01
anubis	B	17	8–9	47%	0.01
overpass	A	7	4–3	57%	-0.01
inferno	—	3	1–2	33%	0.04
cache	—	1	1–0	100%	0.09
mirage	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 24). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

384Matches

52%Win rate

1.01Avg K/D

72.0ADR

41%Headshot %

Clutches & streaks

37%1v1 clutch win

26%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	27	52%	1.09	16.6
Ancient	25	68%	1.09	14.7
Mirage	20	30%	0.81	11.8
Nuke	18	89%	1.18	13.3
Inferno	14	64%	1.12	14.6
Dust2	14	50%	0.95	12.2
Train	6	67%	1.20	16.2
Overpass	5	60%	0.92	15.8

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.

19.1%Headshot accuracy

36.8%Accuracy (enemy spotted)

38.3%Spray accuracy

87.6%Counter-strafing

10.4°Preaim

639msReaction time

19.7%T opening success

37.9%CT opening success

0.78Enemies flashed / flash

8.2%Flash assists

10.34HE damage / grenade

11.00Flashes / 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 19.7349% — 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.

38% win rate across 24 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
dust2	4–13	-0.02	14%	4 May →
ancient	9–13	0.08	18%	4 May →
cache	13–7	0.09	24%	4 May →
dust2	7–13	-0.02	22%	14 Apr →
ancient	13–5	0.01	28%	14 Apr →
nuke	12–16	0.06	23%	13 Apr →
ancient	13–16	0.03	27%	13 Apr →
anubis	15–15	0.03	11%	13 Apr →
overpass	12–16	0.00	15%	13 Apr →
nuke	13–1	0.06	5%	13 Apr →
overpass	13–11	-0.01	13%	13 Apr →
dust2	13–16	-0.04	17%	13 Apr →
dust2	8–13	-0.07	27%	8 Apr →
overpass	13–11	0.02	24%	8 Apr →
ancient	6–13	-0.04	19%	7 Apr →
ancient	16–12	-0.00	23%	7 Apr →
anubis	7–13	-0.01	8%	7 Apr →
dust2	13–11	0.08	16%	7 Apr →
nuke	13–10	-0.01	26%	7 Apr →
dust2	10–13	0.02	23%	7 Apr →
ancient	13–10	0.05	20%	6 Apr →
dust2	7–13	0.01	16%	6 Apr →
nuke	10–13	0.04	23%	6 Apr →
ancient	5–13	-0.02	17%	6 Apr →
anubis	16–14	-0.00	24%	6 Apr →
anubis	11–13	-0.03	29%	6 Apr →
nuke	13–9	-0.00	9%	24 Mar →
dust2	4–13	0.00	16%	24 Mar →
nuke	7–13	-0.02	14%	23 Mar →
overpass	8–13	0.01	15%	23 Mar →
ancient	13–6	0.01	15%	23 Mar →
anubis	9–13	-0.01	19%	23 Mar →
overpass	8–13	-0.05	21%	22 Mar →
ancient	9–13	0.07	26%	22 Mar →
ancient	5–13	-0.00	24%	22 Mar →
inferno	13–6	0.12	13%	22 Mar →
ancient	13–11	-0.05	18%	21 Mar →
anubis	13–3	0.05	8%	21 Mar →
anubis	11–13	0.00	19%	21 Mar →
ancient	13–6	0.07	24%	21 Mar →
anubis	13–9	0.07	16%	21 Mar →
nuke	13–10	0.07	25%	21 Mar →
dust2	13–7	0.00	40%	21 Mar →
nuke	13–10	-0.01	9%	21 Mar →
ancient	11–13	-0.00	21%	16 Mar →
ancient	5–13	-0.04	19%	16 Mar →
dust2	13–7	-0.00	14%	10 Mar →
nuke	6–13	-0.04	9%	10 Mar →
anubis	13–11	0.02	19%	10 Mar →
ancient	13–7	-0.00	17%	10 Mar →
anubis	12–16	0.05	23%	10 Mar →
nuke	1–9	-0.06	5%	10 Mar →
dust2	13–11	0.01	23%	10 Mar →
ancient	10–13	0.02	20%	9 Mar →
nuke	16–12	0.03	18%	9 Mar →
overpass	13–11	-0.02	13%	9 Mar →
nuke	6–13	-0.09	11%	9 Mar →
dust2	13–7	-0.01	20%	9 Mar →
inferno	1–13	-0.02	16%	9 Mar →
overpass	13–7	-0.04	21%	9 Mar →
dust2	13–9	0.03	26%	9 Mar →
ancient	13–11	0.02	31%	26 Feb →
mirage	6–13	-0.05	27%	26 Feb →
anubis	13–7	0.04	14%	26 Feb →
dust2	9–13	-0.04	16%	26 Feb →
inferno	15–15	0.01	13%	26 Feb →
nuke	10–13	-0.07	28%	25 Feb →
dust2	15–15	0.03	16%	25 Feb →
ancient	13–6	0.08	25%	25 Feb →
ancient	13–7	0.01	27%	25 Feb →
ancient	7–13	-0.00	19%	25 Feb →
ancient	13–6	0.04	26%	25 Feb →
nuke	6–13	-0.03	16%	24 Feb →
dust2	8–13	-0.04	21%	24 Feb →
anubis	13–5	0.09	17%	23 Feb →
anubis	10–13	-0.05	5%	23 Feb →
dust2	13–8	0.00	26%	23 Feb →
nuke	11–13	0.02	13%	23 Feb →
ancient	13–5	-0.01	23%	23 Feb →
ancient	13–11	0.06	13%	23 Feb →
dust2	6–13	-0.01	26%	23 Feb →
dust2	13–16	0.00	27%	23 Feb →
nuke	13–7	0.03	20%	22 Feb →
anubis	13–9	-0.01	16%	22 Feb →
nuke	13–6	0.03	14%	22 Feb →
anubis	13–10	-0.02	13%	22 Feb →
dust2	7–13	0.04	12%	22 Feb →
ancient	1–13	-0.05	5%	22 Feb →
nuke	11–13	0.12	35%	22 Feb →
dust2	5–13	-0.05	14%	21 Feb →
ancient	13–9	0.06	31%	21 Feb →
nuke	13–10	0.07	15%	21 Feb →
dust2	13–8	0.01	31%	21 Feb →
ancient	13–4	0.00	7%	21 Feb →
dust2	5–13	-0.05	12%	21 Feb →
anubis	13–16	-0.00	17%	21 Feb →
anubis	11–13	0.03	26%	19 Feb →
dust2	13–9	0.02	34%	19 Feb →
ancient	13–9	0.03	23%	19 Feb →
nuke	8–13	0.05	28%	19 Feb →