Rainƒall | PNDA — CS2 Stats

76561198378053507[U:1:417787779]

990Tracked matches33%Win rate2024Tracked since

1,987Hours in CS7Hrs last 2 wks

CSDB Rating3.2 Learning

Premier CS Rating12,655Blue band · top ~40.8% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim50

Positioning46

Utility12

0–100 skill scores via Leetify.

Recent form

COLD45–51–4Last 10045%Win rateWWLLLLLLLT

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

Player DNA

Aim5.0

Aggression5.9

Utility1.2

Positioning4.6

Opening Duels1.3

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 75% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 681ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim5.0

Positioning4.6

Utility1.2

Mechanics4.2

Opening Duels1.3

Win Impact0.0

Composite 3.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time686ms−56ms

first ⅓ avg 742ms → last ⅓ avg 686ms

Headshot accuracy12.7%+2.8%

first ⅓ avg 9.9% → last ⅓ avg 12.7%

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

0.16Best rating — overpass 13–9

13–0Biggest win — inferno

8Longest win streak

W2Current streak

7–8In matches decided by ≤2 rounds

7Overtime games

Map breakdown

overpassBest map · 63% over 8infernoWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	24	10–14	42%	-0.01
nuke	B	14	7–7	50%	0.00
mirage	B	14	7–7	50%	0.03
inferno	C	13	5–8	38%	-0.00
ancient	B	13	6–7	46%	0.02
anubis	A	9	5–4	56%	0.00
overpass	A	8	5–3	63%	0.04
cache	—	4	0–4	0%	-0.01
vertigo	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

55,780Lifetime kills

1.01K/D

4,424Matches

44.5%Match win rate

35.5%Headshot %

1.3%Shot accuracy

6,534MVPs

1,271Hours (in match)

2,600Bombs planted

699Bombs defused

Most-used weapons

M4A4 / M4A1-S19,269

AK-4711,954

Five-SeveN4,808

MP72,425

Galil AR2,353

Tec-92,270

SG 5532,003

AUG1,525

AWP1,500

MAC-101,366

Lifetime map wins

4,171dust2

2,560nuke

2,145inferno

1,304vertigo

1,300train

200office

140italy

108assault

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

Faceit stats

Combat

1Matches

0%Win rate

0.33Avg K/D

33.4ADR

33%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

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.

13.1%Headshot accuracy

36.2%Accuracy (enemy spotted)

41.4%Spray accuracy

69.1%Counter-strafing

10.4°Preaim

681msReaction time

34.6%T opening success

35.4%CT opening success

0.16Enemies flashed / flash

0.0%Flash assists

10.50HE damage / grenade

0.40Flashes / 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 13.1376% — 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 0.1648 — 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 34.6362% — 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.

38% win rate across 13 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	13–4	0.03	12%	24 Aug →
inferno	13–0	-0.02	13%	22 Aug →
dust2	8–13	0.01	21%	22 Aug →
dust2	7–13	-0.01	10%	21 Aug →
dust2	7–13	-0.08	25%	19 Aug →
anubis	6–13	-0.01	11%	15 Aug →
inferno	11–13	-0.03	16%	15 Aug →
inferno	6–13	-0.01	6%	8 Aug →
nuke	2–13	-0.04	6%	8 Aug →
inferno	15–15	0.05	16%	3 Aug →
inferno	13–9	0.05	5%	2 Aug →
nuke	1–13	-0.04	12%	31 Jul →
dust2	13–2	0.08	14%	31 Jul →
ancient	4–13	0.09	21%	31 Jul →
inferno	10–13	-0.01	13%	29 Jul →
vertigo	12–12	0.03	9%	22 Jul →
mirage	13–11	-0.01	7%	18 Jul →
dust2	5–13	-0.06	17%	18 Jul →
dust2	8–13	0.03	16%	18 Jul →
mirage	15–15	-0.01	16%	18 Jul →
cache	8–13	0.04	11%	17 Jul →
anubis	13–7	-0.02	9%	13 Jul →
dust2	3–13	-0.08	6%	13 Jul →
dust2	13–10	-0.06	18%	13 Jul →
cache	7–13	-0.02	4%	12 Jul →
ancient	13–6	0.01	17%	12 Jul →
inferno	6–13	-0.05	16%	12 Jul →
ancient	13–11	-0.03	17%	12 Jul →
dust2	8–13	0.03	14%	12 Jul →
mirage	11–13	0.10	11%	12 Jul →
nuke	3–13	-0.07	15%	12 Jul →
anubis	13–11	0.05	8%	12 Jul →
nuke	13–16	0.04	7%	12 Jul →
mirage	13–3	0.07	13%	12 Jul →
dust2	13–7	0.04	10%	12 Jul →
ancient	4–13	-0.06	13%	11 Jul →
cache	8–13	-0.04	11%	11 Jul →
dust2	13–5	-0.02	6%	11 Jul →
mirage	13–0	0.03	21%	10 Jul →
nuke	13–7	0.06	17%	10 Jul →
ancient	15–15	-0.00	6%	5 Jul →
overpass	13–10	-0.03	4%	5 Jul →
nuke	13–11	-0.00	2%	5 Jul →
anubis	13–6	-0.02	20%	5 Jul →
ancient	10–13	0.10	6%	4 Jul →
overpass	13–9	0.16	16%	4 Jul →
cache	6–13	-0.00	13%	3 Jul →
overpass	8–13	0.06	13%	27 Jun →
ancient	13–9	0.05	6%	27 Jun →
nuke	4–13	-0.01	12%	26 Jun →
dust2	2–13	-0.03	14%	26 Jun →
ancient	14–16	0.03	10%	23 Jun →
dust2	5–13	-0.06	9%	23 Jun →
mirage	11–13	-0.04	4%	22 Jun →
dust2	13–11	0.05	7%	22 Jun →
mirage	7–13	-0.09	17%	17 Jun →
mirage	14–16	0.10	12%	16 Jun →
nuke	3–13	-0.05	5%	15 Jun →
dust2	7–13	-0.02	15%	15 Jun →
dust2	13–4	0.02	8%	14 Jun →
mirage	13–3	0.08	13%	13 Jun →
overpass	13–10	0.05	14%	8 Jun →
ancient	4–13	-0.03	13%	6 Jun →
nuke	13–2	0.16	11%	6 Jun →
anubis	13–9	-0.00	14%	6 Jun →
ancient	13–6	-0.01	9%	3 Jun →
overpass	3–13	-0.04	13%	2 Jun →
mirage	13–5	0.07	7%	2 Jun →
dust2	13–11	0.08	18%	1 Jun →
nuke	13–9	-0.04	5%	31 May →
anubis	13–5	-0.02	6%	31 May →
nuke	13–6	-0.08	6%	30 May →
ancient	13–2	0.03	0%	30 May →
inferno	13–8	-0.03	10%	30 May →
nuke	13–2	-0.00	9%	30 May →
dust2	11–13	-0.03	13%	30 May →
anubis	8–13	0.04	15%	28 May →
inferno	13–4	0.04	7%	28 May →
dust2	13–5	0.07	10%	28 May →
inferno	11–13	0.01	9%	27 May →
anubis	6–13	0.04	16%	27 May →
anubis	4–13	-0.05	15%	27 May →
ancient	13–8	-0.01	4%	26 May →
mirage	7–13	-0.01	11%	26 May →
overpass	13–11	0.10	15%	24 May →
dust2	13–2	0.02	7%	24 May →
inferno	7–13	-0.04	8%	24 May →
mirage	1–13	-0.06	10%	24 May →
inferno	5–13	-0.02	10%	24 May →
ancient	8–13	0.05	10%	24 May →
nuke	4–13	0.10	7%	24 May →
dust2	14–16	-0.01	17%	23 May →
overpass	8–13	-0.04	4%	23 May →
nuke	13–2	0.03	4%	23 May →
mirage	13–1	0.11	14%	23 May →
mirage	13–8	0.11	7%	23 May →
dust2	13–9	0.02	10%	23 May →
dust2	1–13	-0.05	17%	23 May →
dust2	3–13	-0.05	14%	23 May →
overpass	13–6	0.07	15%	23 May →