HandyKlaus — CS2 Stats

DE76561199068440707[U:1:1108174979]Steam profile ↗✓ No bans

870Tracked matches45%Win rate2023Tracked since

751Hours in CS

CSDB Rating5.5 SolidAggressive Rifler

Premier CS Rating10,114Blue band · top ~54.3% of ranked players (population est.)

CSDB Leaderboard#12924 of 17656 tracked

WingmanMaster Guardian I

Ladder ranks via Leetify

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Performance scores

Aim82

Positioning52

Utility36

0–100 skill scores via Leetify.

Recent form

STEADY44–53–3Last 10044%Win rateWWWWLLWLLL

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.2

Aggression7.1

Utility3.6

Positioning5.2

Opening Duels2.9

Clutch0.0

Strong CT-side openerLimited utility dependence

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 ropz 88% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower 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

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

T-side openings. Opening success drops from 53% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 606ms 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

Aim8.2

Positioning5.2

Utility3.6

Mechanics7.7

Opening Duels2.9

Win Impact3.3

Composite 5.5/10 (Solid), 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-0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg -0.00

Reaction time608ms−102ms

first ⅓ avg 710ms → last ⅓ avg 608ms

Headshot accuracy18.0%−0.6%

first ⅓ avg 18.6% → last ⅓ avg 18.0%

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

0.13Best rating — cache 13–5

13–1Biggest win — mirage

5Longest win streak

W4Current streak

3–10In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 58% over 19infernoWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	35	14–21	40%	-0.01
ancient	A	19	11–8	58%	-0.00
mirage	C	17	7–10	41%	-0.00
cache	B	13	7–6	54%	0.00
inferno	D	7	2–5	29%	-0.00
nuke	D	6	2–4	33%	0.03
anubis	—	2	0–2	0%	0.02
fachwerk	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

38,077Lifetime kills

0.85K/D

2,484Matches

42.2%Match win rate

45.4%Headshot %

0.5%Shot accuracy

6,134MVPs

751Hours (in match)

1,567Bombs planted

240Bombs defused

Most-used weapons

M4A4 / M4A1-S9,696

AK-478,981

AWP2,998

SSG 082,740

Desert Eagle2,465

P2000 / USP-S2,011

Glock-181,839

FAMAS1,703

Galil AR1,393

MAC-10748

Lifetime map wins

6,877dust2

3,277inferno

1,256nuke

881vertigo

405train

246office

54italy

10ar_shoots

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

Faceit stats

Combat

10Matches

70%Win rate

0.89Avg K/D

65.2ADR

44%Headshot %

Clutches & streaks

0%1v1 clutch win

33%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	5	80%	0.70	7.4
Cache	1	100%	1.56	25.0
Ancient	1	100%	1.67	15.0
Nuke	1	0%	0.53	8.0
Vertigo	1	100%	1.36	15.0
Inferno	1	0%	0.33	6.0

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.

18.2%Headshot accuracy

39.8%Accuracy (enemy spotted)

36.9%Spray accuracy

84.4%Counter-strafing

8.1°Preaim

606msReaction time

30.2%T opening success

53.2%CT opening success

0.54Enemies flashed / flash

4.4%Flash assists

5.67HE damage / grenade

2.67Flashes / 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 2.6656 — 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 30.1948% — 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.

29% win rate across 7 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
dust2	13–9	0.02	26%	27 Aug →
ancient	13–10	0.02	18%	27 Aug →
mirage	9–1	0.13	15%	27 Aug →
ancient	13–3	0.01	18%	26 Aug →
cache	11–13	0.02	17%	26 Aug →
ancient	8–13	-0.08	18%	25 Aug →
ancient	13–3	-0.02	14%	25 Aug →
inferno	10–13	-0.01	7%	23 Aug →
dust2	12–16	-0.03	15%	21 Aug →
inferno	10–13	-0.02	11%	20 Aug →
cache	15–15	-0.02	18%	20 Aug →
ancient	10–13	-0.06	16%	19 Aug →
dust2	13–8	-0.06	26%	19 Aug →
mirage	10–13	-0.01	14%	18 Aug →
nuke	11–13	0.01	24%	18 Aug →
mirage	13–8	-0.04	23%	17 Aug →
ancient	13–3	0.09	23%	17 Aug →
anubis	11–13	-0.01	18%	17 Aug →
inferno	6–13	0.00	11%	17 Aug →
nuke	13–7	0.01	19%	16 Aug →
mirage	3–13	-0.04	18%	16 Aug →
dust2	11–13	0.08	29%	16 Aug →
dust2	7–13	-0.05	15%	16 Aug →
dust2	9–13	0.01	32%	14 Aug →
mirage	13–6	0.01	19%	14 Aug →
dust2	13–6	-0.03	9%	14 Aug →
dust2	16–13	-0.02	18%	14 Aug →
dust2	9–13	-0.09	13%	14 Aug →
dust2	13–16	0.02	23%	13 Aug →
ancient	13–8	-0.02	9%	13 Aug →
nuke	8–13	0.05	27%	12 Aug →
mirage	16–12	0.04	13%	12 Aug →
dust2	8–13	-0.05	18%	11 Aug →
dust2	5–13	-0.10	11%	11 Aug →
cache	11–13	-0.00	11%	11 Aug →
dust2	10–13	-0.01	10%	11 Aug →
cache	13–3	-0.05	25%	11 Aug →
mirage	16–14	0.00	23%	10 Aug →
dust2	12–12	-0.02	16%	10 Aug →
dust2	13–2	-0.00	20%	10 Aug →
ancient	8–13	-0.05	13%	10 Aug →
nuke	10–13	0.01	16%	9 Aug →
dust2	13–3	0.05	14%	9 Aug →
fachwerk	13–9	-0.03	14%	9 Aug →
dust2	4–13	-0.07	26%	8 Aug →
mirage	6–13	-0.06	27%	8 Aug →
ancient	6–13	-0.07	11%	3 Aug →
nuke	6–13	0.01	21%	2 Aug →
anubis	9–13	0.05	30%	1 Aug →
cache	11–13	0.00	20%	1 Aug →
cache	13–7	0.05	13%	31 Jul →
ancient	13–5	0.01	15%	31 Jul →
mirage	9–13	-0.00	23%	31 Jul →
dust2	5–13	-0.03	24%	31 Jul →
ancient	11–13	0.09	18%	30 Jul →
ancient	13–11	0.03	25%	30 Jul →
inferno	13–11	0.01	18%	29 Jul →
dust2	13–4	-0.01	38%	29 Jul →
inferno	16–12	-0.01	29%	29 Jul →
cache	13–5	-0.04	4%	28 Jul →
cache	8–13	-0.01	19%	28 Jul →
mirage	8–13	-0.03	11%	28 Jul →
dust2	13–8	0.08	15%	28 Jul →
mirage	11–13	-0.01	16%	27 Jul →
dust2	13–5	-0.01	22%	27 Jul →
ancient	10–13	-0.03	20%	27 Jul →
dust2	5–13	-0.07	12%	27 Jul →
dust2	4–13	-0.08	12%	26 Jul →
dust2	8–13	-0.01	12%	26 Jul →
cache	13–7	-0.02	31%	26 Jul →
ancient	13–3	-0.01	6%	26 Jul →
dust2	13–6	0.06	27%	26 Jul →
dust2	13–8	0.04	14%	26 Jul →
mirage	10–13	-0.05	21%	26 Jul →
dust2	8–13	-0.01	18%	25 Jul →
mirage	7–13	0.01	35%	25 Jul →
ancient	13–10	0.02	13%	25 Jul →
dust2	5–13	-0.01	25%	24 Jul →
cache	13–5	0.13	11%	24 Jul →
cache	13–9	-0.02	4%	24 Jul →
inferno	8–8	-0.04	22%	24 Jul →
dust2	13–7	0.08	27%	23 Jul →
ancient	13–6	-0.02	9%	22 Jul →
dust2	10–13	-0.06	25%	22 Jul →
inferno	7–9	0.05	31%	22 Jul →
cache	10–13	-0.04	27%	20 Jul →
dust2	11–13	-0.05	8%	20 Jul →
mirage	9–13	-0.07	18%	18 Jul →
mirage	13–1	0.03	24%	18 Jul →
cache	13–2	0.04	21%	18 Jul →
dust2	13–16	-0.01	18%	18 Jul →
dust2	13–7	-0.06	15%	18 Jul →
ancient	13–10	0.06	10%	18 Jul →
dust2	4–13	-0.07	30%	17 Jul →
ancient	5–13	0.00	11%	17 Jul →
ancient	6–13	-0.03	13%	17 Jul →
mirage	8–13	0.01	14%	16 Jul →
dust2	13–7	0.07	31%	16 Jul →
nuke	13–8	0.07	14%	15 Jul →
mirage	13–10	0.01	24%	15 Jul →