padde — CS2 Stats

DE76561197982873082[U:1:22607354]Steam profile ↗

2,142Tracked matches50%Win rate2020Tracked since

2,644Hours in CS

CSDB Rating6.5 SolidHybrid Rifler

Premier CS Rating27,285Top 10% of 819 CSDB-tracked playersRed band · top ~1.9% of ranked players (population est.)

CSDB Leaderboard#845 of 21234 tracked

Ladder ranks via Leetify

Rating over time

27,285Peak Premier on CSDB

1,981Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 1,981
Next: Level 10 at 2,001 — 20 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-08-28
Level 8 first seen 2026-08-28

Premier CS Rating

At peak — 27,285
Next: Gold band at 30,000 — 2,715 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-28
Pink band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim81

Positioning50

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateWWWLLLWWWL

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

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

Aim8.1

Aggression5.4

Utility6.6

Positioning5.0

Opening Duels1.4

Clutch3.4

Strong CT-side opener

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 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

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

T-side openings. Opening success drops from 53% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.1

Positioning5.0

Utility6.6

Mechanics6.4

Opening Duels2.8

Win Impact5.0

Composite 6.5/10 (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+0.00

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time497ms−64ms

first ⅓ avg 561ms → last ⅓ avg 497ms

Headshot accuracy15.3%+0.1%

first ⅓ avg 15.1% → last ⅓ avg 15.3%

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 — nuke 13–11

13–0Biggest win — dust2

5Longest win streak

W3Current streak

6–7In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 86% over 7infernoWeakest map · 42% over 19

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	26	13–13	50%	0.01
inferno	C	19	8–11	42%	-0.01
dust2	C	16	7–9	44%	0.01
cache	S	15	12–3	80%	0.02
nuke	B	14	7–7	50%	-0.01
anubis	S	7	6–1	86%	-0.01
mirage	—	2	1–1	50%	-0.02
vertigo	—	1	0–1	0%	-0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

102,885Lifetime kills

0.91K/D

5,599Matches

49.4%Match win rate · Top 25% of tracked players

41.4%Headshot %

12.2%Shot accuracy · Top 50% of tracked players

12,872MVPs

2,644Hours (in match)

8,976Bombs planted

1,554Bombs defused

Most-used weapons

AK-4736,011

M4A4 / M4A1-S25,735

P2000 / USP-S6,278

AWP4,773

FAMAS4,440

Glock-184,116

UMP-453,564

Galil AR2,585

Desert Eagle2,508

P2502,030

Lifetime map wins

16,932inferno

14,399dust2

3,174nuke

2,952vertigo

1,890train

1,523cbble

159office

52aztec

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

Faceit stats

Combat

956Matches

52%Win rate

1.14Avg K/D

81.5ADR

37%Headshot %

Clutches & streaks

37%1v1 clutch win

18%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	36	50%	1.05	15.8
Ancient	32	66%	1.17	16.7
Inferno	29	59%	1.07	15.6
Anubis	20	50%	1.07	15.9
Nuke	10	30%	0.95	14.9
Train	9	67%	0.96	13.0
Cache	8	50%	1.13	15.1
Mirage	4	25%	0.71	11.5

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.

14.5%Headshot accuracy

36.3%Accuracy (enemy spotted)

42.7%Spray accuracy

78.6%Counter-strafing

8.7°Preaim

491msReaction time

18.9%T opening success

52.5%CT opening success

0.54Enemies flashed / flash

4.4%Flash assists

7.07HE damage / grenade

15.45Flashes / 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 14.4892% — below the 15% mark we flag
Aim Training →
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 18.8769% — 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.

42% win rate across 19 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
mirage	13–6	-0.02	26%	28 Aug →
dust2	13–1	0.08	16%	28 Aug →
inferno	13–2	0.01	13%	28 Aug →
ancient	5–13	-0.01	15%	27 Aug →
vertigo	2–13	-0.10	4%	27 Aug →
nuke	4–13	0.08	21%	27 Aug →
dust2	13–8	-0.04	13%	25 Aug →
anubis	13–10	-0.03	8%	23 Aug →
nuke	13–1	-0.04	20%	23 Aug →
cache	0–13	-0.01	0%	23 Aug →
mirage	13–16	-0.01	17%	23 Aug →
ancient	13–9	0.00	18%	21 Aug →
ancient	9–13	-0.02	11%	21 Aug →
nuke	6–13	-0.02	12%	21 Aug →
ancient	13–6	0.06	9%	20 Aug →
nuke	8–13	-0.04	11%	20 Aug →
inferno	0–13	-0.07	0%	20 Aug →
nuke	2–13	0.04	20%	19 Aug →
dust2	11–13	0.02	27%	19 Aug →
cache	13–4	0.09	19%	18 Aug →
inferno	13–6	0.07	17%	15 Aug →
nuke	13–11	0.12	14%	15 Aug →
ancient	8–13	0.02	15%	13 Aug →
ancient	9–13	-0.03	15%	12 Aug →
anubis	13–9	0.04	16%	12 Aug →
inferno	0–13	-0.00	40%	12 Aug →
cache	13–7	-0.03	11%	12 Aug →
ancient	13–7	0.00	9%	11 Aug →
cache	13–11	0.02	18%	11 Aug →
inferno	14–16	-0.05	6%	10 Aug →
nuke	13–5	0.01	20%	10 Aug →
inferno	8–3	0.01	19%	10 Aug →
cache	13–4	0.05	24%	10 Aug →
inferno	2–13	-0.04	0%	9 Aug →
cache	7–13	-0.02	24%	8 Aug →
inferno	10–13	-0.09	13%	8 Aug →
anubis	13–10	-0.02	20%	8 Aug →
dust2	9–13	0.08	17%	7 Aug →
cache	13–9	-0.01	15%	7 Aug →
ancient	13–5	0.00	20%	7 Aug →
cache	13–5	0.00	7%	7 Aug →
dust2	13–0	0.01	11%	7 Aug →
inferno	13–6	-0.05	9%	7 Aug →
nuke	3–13	0.01	12%	5 Aug →
inferno	6–2	0.03	80%	5 Aug →
ancient	13–10	0.02	18%	5 Aug →
nuke	0–2	-0.08	0%	5 Aug →
nuke	0–9	-0.26	14%	5 Aug →
cache	13–11	-0.00	14%	4 Aug →
dust2	7–1	0.06	17%	4 Aug →
inferno	0–2	-0.04	100%	3 Aug →
anubis	3–13	-0.04	0%	3 Aug →
ancient	13–9	0.02	8%	3 Aug →
dust2	10–13	-0.04	11%	31 Jul →
nuke	13–6	0.08	17%	31 Jul →
ancient	13–11	0.00	21%	31 Jul →
ancient	11–13	0.01	15%	29 Jul →
dust2	3–13	-0.01	17%	29 Jul →
nuke	13–10	-0.00	19%	28 Jul →
ancient	13–5	0.10	19%	28 Jul →
dust2	5–13	-0.04	10%	28 Jul →
cache	13–9	0.00	6%	28 Jul →
dust2	10–13	0.01	11%	27 Jul →
inferno	2–13	-0.07	13%	27 Jul →
inferno	2–13	0.09	21%	27 Jul →
ancient	14–16	0.05	22%	26 Jul →
cache	13–11	-0.01	15%	26 Jul →
inferno	13–10	0.03	19%	26 Jul →
cache	8–13	-0.03	16%	25 Jul →
dust2	13–8	0.09	13%	25 Jul →
inferno	9–13	-0.05	18%	25 Jul →
anubis	13–8	-0.00	17%	25 Jul →
inferno	6–13	-0.05	8%	24 Jul →
ancient	13–4	-0.01	26%	24 Jul →
inferno	13–7	0.04	13%	24 Jul →
ancient	13–7	0.03	11%	23 Jul →
nuke	13–11	0.00	29%	23 Jul →
dust2	13–9	0.04	14%	23 Jul →
inferno	6–13	-0.03	27%	22 Jul →
nuke	7–0	-0.05	6%	22 Jul →
ancient	15–15	-0.04	18%	22 Jul →
ancient	6–13	0.01	7%	21 Jul →
anubis	13–9	-0.01	18%	20 Jul →
cache	13–8	0.03	17%	20 Jul →
dust2	9–13	-0.00	18%	19 Jul →
ancient	16–13	0.03	21%	19 Jul →
ancient	10–13	-0.02	13%	18 Jul →
inferno	16–13	0.06	13%	17 Jul →
anubis	13–7	-0.01	16%	17 Jul →
ancient	13–3	0.07	16%	17 Jul →
ancient	6–13	-0.04	16%	16 Jul →
ancient	13–7	0.09	15%	16 Jul →
cache	13–5	0.04	9%	16 Jul →
dust2	7–13	-0.03	13%	16 Jul →
dust2	13–10	0.04	23%	15 Jul →
ancient	11–13	-0.07	10%	14 Jul →
cache	13–4	0.09	7%	13 Jul →
ancient	13–16	-0.03	8%	13 Jul →
dust2	6–13	-0.07	11%	13 Jul →
ancient	7–13	-0.03	15%	12 Jul →