PapEnWors — CS2 Stats

76561198127358887[U:1:167093159]✓ No bans

330Tracked matches47%Win rate2022Tracked since

CSDB Rating2.7 Learning

Ladder ranks via Leetify

Performance scores

Aim23

Positioning34

Utility25

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateWLWWLWLWWL

Last 10 vs previous 10: +40pp win rate · +0.00 avg rating

Player DNA

Aim2.3

Aggression3.4

Utility2.5

Positioning3.4

Opening Duels0.0

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 66% 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. 689ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim2.3

Positioning3.4

Utility2.5

Mechanics3.6

Opening Duels0.2

Win Impact3.9

Composite 2.7/10 (Learning), 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-0.07−0.02

first ⅓ avg -0.05 → last ⅓ avg -0.07

Reaction time697ms+0ms

first ⅓ avg 697ms → last ⅓ avg 697ms

Headshot accuracy14.8%+2.9%

first ⅓ avg 11.9% → last ⅓ avg 14.8%

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

0.04Best rating — mirage 13–5

13–1Biggest win — overpass

5Longest win streak

6–7In matches decided by ≤2 rounds

5Overtime games

Map breakdown

ancientBest map · 75% over 8nukeWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	29	14–15	48%	-0.06
mirage	A	16	9–7	56%	-0.06
inferno	C	15	6–9	40%	-0.06
nuke	D	13	4–9	31%	-0.07
overpass	D	9	3–6	33%	-0.05
ancient	S	8	6–2	75%	-0.06
train	S	6	4–2	67%	-0.03
anubis	—	1	1–0	100%	-0.10
warden	—	1	0–1	0%	0.03
cache	—	1	1–0	100%	-0.06
vertigo	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.4%Headshot accuracy

26.3%Accuracy (enemy spotted)

27.6%Spray accuracy

66.3%Counter-strafing

11.3°Preaim

689msReaction time

28.5%T opening success

31.5%CT opening success

0.55Enemies flashed / flash

3.0%Flash assists

7.58HE damage / grenade

0.68Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 0.6768 — below the 4 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 28.4665% — below the 40% mark we flag

Spend your practice time on Nuke

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–4	-0.02	11%	19 Jul →
mirage	6–13	-0.10	10%	5 Jul →
mirage	11–1	-0.07	20%	5 Jul →
dust2	13–11	-0.04	14%	5 Jul →
mirage	10–13	-0.02	15%	28 Jun →
nuke	13–7	-0.04	10%	27 Jun →
nuke	9–13	-0.06	48%	27 Jun →
anubis	13–9	-0.10	0%	27 Jun →
mirage	13–10	-0.09	24%	21 Jun →
dust2	5–13	-0.10	27%	16 Jun →
nuke	4–13	-0.05	5%	16 Jun →
warden	11–13	0.03	14%	16 Jun →
cache	13–8	-0.06	23%	16 Jun →
dust2	4–13	-0.07	7%	13 Jun →
inferno	2–13	-0.03	13%	13 Jun →
nuke	3–13	-0.14	13%	17 May →
nuke	13–11	-0.06	9%	17 May →
dust2	6–13	-0.11	17%	22 Mar →
dust2	9–13	-0.10	12%	22 Mar →
nuke	9–13	-0.08	12%	22 Mar →
overpass	11–13	-0.03	27%	22 Mar →
mirage	16–14	-0.09	12%	22 Mar →
dust2	13–6	-0.02	27%	22 Mar →
inferno	16–12	-0.07	9%	21 Mar →
dust2	13–11	-0.06	20%	21 Mar →
inferno	9–13	-0.04	10%	21 Mar →
mirage	4–13	-0.12	10%	21 Mar →
mirage	16–13	-0.06	17%	21 Mar →
dust2	13–7	-0.04	14%	18 Mar →
inferno	2–13	-0.05	15%	15 Mar →
mirage	13–9	-0.10	13%	15 Mar →
inferno	4–13	-0.06	7%	15 Mar →
dust2	7–13	-0.10	5%	24 Jan →
inferno	13–5	-0.11	0%	24 Jan →
nuke	13–7	0.02	20%	24 Jan →
train	3–13	-0.08	4%	24 Jan →
dust2	13–11	-0.05	6%	18 Jan →
mirage	13–8	-0.07	10%	18 Jan →
overpass	5–13	-0.08	16%	18 Jan →
ancient	10–13	-0.10	13%	17 Jan →
dust2	13–10	-0.01	11%	17 Jan →
inferno	13–4	0.01	12%	17 Jan →
dust2	13–9	-0.06	8%	17 Jan →
inferno	1–13	-0.10	29%	17 Jan →
dust2	2–13	-0.07	9%	17 Jan →
dust2	13–10	-0.04	3%	17 Jan →
dust2	2–13	-0.03	16%	17 Jan →
dust2	16–13	-0.07	8%	11 Jan →
dust2	9–13	-0.09	0%	11 Jan →
ancient	13–7	-0.09	0%	11 Jan →
mirage	0–4	-0.12	0%	11 Jan →
dust2	5–13	-0.06	5%	11 Jan →
ancient	13–5	-0.09	8%	11 Jan →
overpass	6–13	-0.07	10%	11 Jan →
overpass	6–13	-0.04	5%	11 Jan →
inferno	11–13	-0.12	0%	11 Jan →
ancient	13–11	-0.06	19%	3 Jan →
nuke	9–13	-0.02	12%	3 Jan →
mirage	4–13	-0.05	16%	3 Jan →
nuke	3–13	-0.08	5%	3 Jan →
nuke	7–13	-0.09	8%	3 Jan →
mirage	11–13	-0.01	11%	2 Jan →
inferno	8–13	-0.05	6%	2 Jan →
train	9–13	-0.01	8%	31 Dec →
mirage	13–7	-0.06	6%	31 Dec →
dust2	12–12	-0.05	14%	31 Dec →
ancient	13–9	0.00	4%	31 Dec →
dust2	13–7	0.03	18%	23 Nov →
overpass	13–2	-0.01	13%	23 Nov →
overpass	13–5	-0.01	14%	23 Nov →
overpass	13–1	-0.04	6%	22 Nov →
inferno	11–13	-0.07	17%	22 Nov →
overpass	7–13	-0.09	0%	21 Nov →
train	13–7	-0.04	18%	21 Nov →
dust2	7–13	-0.14	18%	21 Nov →
train	13–10	0.02	14%	21 Nov →
train	13–10	-0.06	4%	16 Nov →
inferno	13–7	-0.01	13%	16 Nov →
dust2	13–1	-0.03	3%	16 Nov →
mirage	12–12	-0.04	10%	3 Oct →
dust2	12–12	-0.06	17%	3 Oct →
dust2	8–13	-0.05	12%	3 Oct →
ancient	14–16	-0.07	6%	28 Sept →
mirage	13–5	0.04	15%	28 Sept →
nuke	3–13	-0.10	5%	28 Sept →
dust2	13–10	-0.02	23%	28 Sept →
dust2	13–8	-0.03	21%	28 Sept →
dust2	13–1	-0.01	21%	28 Sept →
dust2	11–13	-0.08	3%	28 Sept →
overpass	8–13	-0.10	11%	25 Sept →
vertigo	9–13	-0.05	11%	21 Sept →
nuke	13–2	-0.05	31%	21 Sept →
inferno	8–13	-0.05	8%	21 Sept →
ancient	13–2	-0.04	0%	21 Sept →
inferno	13–4	-0.04	6%	21 Sept →
train	13–3	-0.02	4%	21 Sept →
ancient	13–7	-0.06	5%	21 Sept →
nuke	0–13	-0.10	0%	21 Sept →
inferno	13–6	-0.08	24%	21 Sept →
dust2	3–13	-0.06	25%	21 Sept →