plurp — CS2 Stats

76561198260469717[U:1:300203989]

1,681Tracked matches41%Win rate2020Tracked since

3,974Hours in CS17Hrs last 2 wks

CSDB Rating4.8 Developing

Premier CS Rating21,938Top 50% of 819 CSDB-tracked playersPink band · top ~6.4% of ranked players (population est.)

CSDB Leaderboard#2207 of 6599 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim56

Positioning52

Utility57

0–100 skill scores via Leetify.

Recent form

COLD47–50–3Last 10047%Win rateLTWWLLLLLW

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Aim5.6

Aggression5.7

Utility5.7

Positioning5.2

Opening Duels1.5

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 NiKo 87% playstyle similarity

Most alike: opening-duel success, utility contribution.

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. 577ms 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

Aim5.6

Positioning5.2

Utility5.7

Mechanics4.9

Opening Duels1.5

Win Impact2.1

Composite 4.8/10 (Developing), 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 rating-0.03−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time585ms−26ms

first ⅓ avg 611ms → last ⅓ avg 585ms

Headshot accuracy19.7%+2.7%

first ⅓ avg 17.1% → last ⅓ avg 19.7%

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

0.14Best rating — cache 7–0

13–2Biggest win — mirage

10Longest win streak

11–5In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 80% over 5ancientWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	27	14–13	52%	-0.01
cache	C	20	8–12	40%	-0.02
dust2	C	16	7–9	44%	-0.03
inferno	B	13	6–7	46%	-0.03
ancient	C	8	3–5	38%	-0.02
nuke	S	5	4–1	80%	0.00
train	—	3	1–2	33%	-0.02
anubis	—	3	1–2	33%	-0.02
office	—	3	2–1	67%	-0.01
overpass	—	2	1–1	50%	0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

74,813Lifetime kills

0.97K/D

4,383Matches

45.2%Match win rate

37.0%Headshot %

12.3%Shot accuracy

8,824MVPs

1,811Hours (in match)

3,902Bombs planted

1,000Bombs defused

Most-used weapons

AK-4721,563

M4A4 / M4A1-S10,870

AWP10,853

P2000 / USP-S4,297

Glock-183,266

Desert Eagle2,479

UMP-451,796

AUG1,768

Galil AR1,662

FAMAS1,590

Lifetime map wins

8,363dust2

5,739inferno

3,039nuke

2,051vertigo

1,177train

437cbble

223office

92lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

210Matches

51%Win rate

1.01Avg K/D

85.4ADR

37%Headshot %

Clutches & streaks

8%1v1 clutch win

21%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	9	56%	0.99	14.4
Anubis	7	71%	1.60	18.0
Inferno	5	40%	1.08	16.6
Ancient	4	25%	0.68	10.8
Overpass	4	25%	0.82	13.5
Vertigo	4	50%	0.86	18.0
Nuke	3	33%	1.01	17.7
Dust2	1	100%	1.25	15.0

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.

19.5%Headshot accuracy

30.1%Accuracy (enemy spotted)

30.1%Spray accuracy

71.9%Counter-strafing

9.2°Preaim

577msReaction time

30.5%T opening success

41.1%CT opening success

0.67Enemies flashed / flash

3.6%Flash assists

7.42HE damage / grenade

11.61Flashes / 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 30.4907% — below the 40% mark we flag

Spend your practice time on Ancient

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 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	5–13	-0.06	21%	27 Aug →
mirage	15–15	-0.02	34%	27 Aug →
inferno	2–5	-0.03	22%	27 Aug →
nuke	13–9	0.01	25%	27 Aug →
mirage	11–13	-0.01	17%	26 Aug →
ancient	8–13	-0.01	36%	25 Aug →
inferno	3–13	-0.07	6%	24 Aug →
dust2	11–13	-0.03	11%	23 Aug →
inferno	2–13	-0.05	54%	21 Aug →
dust2	13–9	-0.00	20%	21 Aug →
mirage	13–5	0.05	24%	21 Aug →
mirage	8–13	0.04	21%	21 Aug →
train	9–13	-0.03	17%	19 Aug →
cache	13–16	-0.06	8%	19 Aug →
inferno	16–14	-0.01	9%	18 Aug →
anubis	13–16	-0.06	8%	18 Aug →
mirage	4–13	-0.08	16%	18 Aug →
inferno	4–13	-0.07	23%	18 Aug →
cache	13–11	-0.05	21%	17 Aug →
dust2	6–13	-0.06	24%	17 Aug →
mirage	13–7	-0.04	20%	17 Aug →
mirage	5–13	-0.00	10%	17 Aug →
cache	13–6	0.05	21%	17 Aug →
mirage	13–11	-0.04	19%	5 Aug →
mirage	13–7	-0.05	29%	5 Aug →
dust2	13–9	0.01	10%	5 Aug →
nuke	13–7	-0.03	20%	5 Aug →
cache	2–13	-0.09	11%	4 Aug →
dust2	8–13	-0.12	23%	2 Aug →
ancient	8–13	0.00	18%	2 Aug →
cache	11–13	-0.01	16%	2 Aug →
office	6–13	-0.00	26%	29 Jul →
mirage	5–13	-0.11	11%	29 Jul →
ancient	13–3	-0.02	23%	29 Jul →
train	10–13	-0.02	20%	29 Jul →
cache	1–13	-0.01	15%	23 Jul →
inferno	3–13	-0.07	9%	23 Jul →
cache	13–8	-0.08	12%	23 Jul →
cache	12–12	-0.02	24%	22 Jul →
inferno	13–6	-0.01	10%	22 Jul →
anubis	13–11	0.02	11%	22 Jul →
mirage	13–4	0.03	18%	22 Jul →
dust2	9–13	-0.03	13%	22 Jul →
dust2	9–13	-0.03	13%	18 Jul →
mirage	13–9	-0.03	17%	18 Jul →
mirage	13–5	-0.05	10%	18 Jul →
cache	13–9	-0.03	11%	18 Jul →
overpass	13–11	0.01	13%	17 Jul →
mirage	13–4	0.02	12%	17 Jul →
mirage	13–2	0.10	24%	17 Jul →
cache	13–7	0.00	13%	17 Jul →
dust2	13–7	-0.03	19%	16 Jul →
cache	13–10	-0.06	19%	16 Jul →
mirage	13–11	-0.02	9%	16 Jul →
cache	7–13	-0.03	27%	15 Jul →
ancient	8–13	-0.04	11%	15 Jul →
dust2	5–13	-0.13	15%	11 Jul →
train	13–9	-0.02	16%	11 Jul →
cache	9–13	-0.09	25%	10 Jul →
mirage	11–13	-0.02	10%	9 Jul →
cache	7–0	0.14	17%	9 Jul →
dust2	7–13	-0.05	12%	9 Jul →
inferno	13–7	0.02	20%	9 Jul →
mirage	10–13	-0.02	20%	8 Jul →
cache	3–13	-0.02	14%	8 Jul →
ancient	13–10	0.02	11%	8 Jul →
office	13–7	0.04	27%	8 Jul →
dust2	13–9	0.06	23%	8 Jul →
nuke	8–13	-0.01	20%	8 Jul →
mirage	9–13	0.05	18%	8 Jul →
mirage	2–13	-0.05	9%	7 Jul →
cache	13–9	-0.02	20%	7 Jul →
ancient	13–11	0.02	11%	7 Jul →
nuke	13–7	0.04	13%	7 Jul →
inferno	9–13	-0.01	21%	7 Jul →
cache	6–13	-0.07	12%	7 Jul →
cache	9–13	0.01	13%	3 Jul →
mirage	16–13	0.03	16%	3 Jul →
cache	8–13	0.04	14%	3 Jul →
mirage	13–6	0.05	16%	3 Jul →
ancient	5–13	-0.08	13%	2 Jul →
mirage	15–15	-0.07	14%	2 Jul →
anubis	11–13	-0.04	13%	2 Jul →
dust2	16–14	0.03	20%	2 Jul →
inferno	13–2	-0.05	18%	2 Jul →
mirage	10–13	0.02	14%	1 Jul →
dust2	13–8	-0.07	19%	1 Jul →
inferno	10–13	-0.08	16%	29 Jun →
overpass	9–13	0.02	16%	29 Jun →
inferno	13–11	-0.02	23%	29 Jun →
dust2	13–10	0.02	19%	29 Jun →
mirage	13–11	-0.05	19%	27 Jun →
cache	9–13	-0.05	13%	27 Jun →
dust2	9–13	-0.02	24%	27 Jun →
office	13–8	-0.06	17%	27 Jun →
ancient	3–13	-0.01	32%	26 Jun →
inferno	9–13	-0.01	16%	26 Jun →
nuke	13–11	0.01	21%	26 Jun →
mirage	13–9	-0.00	15%	26 Jun →
mirage	8–13	-0.05	17%	26 Jun →