Ksharp — CS2 Stats

CA76561197960669297[U:1:403569]Steam profile ↗✓ No bans

2,146Tracked matches46%Win rate2021Tracked since

1,490Hours in CS

CSDB Rating5.2 Developing

Premier CS Rating21,942Top 50% of 819 CSDB-tracked playersPink band · top ~6.4% of ranked players (population est.)

CSDB Leaderboard#5815 of 17854 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim56

Positioning58

Utility58

0–100 skill scores via Leetify.

Recent form

COLD49–45–6Last 10049%Win rateLLLLWWLLTL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Aim5.6

Aggression7.3

Utility5.8

Positioning5.8

Opening Duels2.5

Clutch2.4

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 b1t 88% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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. 587ms 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

Positioning5.8

Utility5.8

Mechanics4.8

Opening Duels2.5

Win Impact3.8

Composite 5.2/10 (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 rating0.01−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time583ms−16ms

first ⅓ avg 599ms → last ⅓ avg 583ms

Headshot accuracy14.8%−3.9%

first ⅓ avg 18.7% → 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

0.10Best rating — inferno 12–12

13–0Biggest win — dust2

8Longest win streak

L4Current streak

4–7In matches decided by ≤2 rounds

4Overtime games

Map breakdown

dust2Best map · 78% over 9nukeWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	22	9–13	41%	0.01
mirage	B	20	9–11	45%	0.01
anubis	B	20	10–10	50%	0.01
nuke	C	13	5–8	38%	-0.01
dust2	S	9	7–2	78%	0.01
cache	S	8	6–2	75%	0.01
ancient	C	7	3–4	43%	0.03
train	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

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

Lifetime stats

51,835Lifetime kills

0.85K/D

3,233Matches

46.0%Match win rate

45.4%Headshot %

6.4%Shot accuracy

5,631MVPs

1,490Hours (in match)

1,637Bombs planted

670Bombs defused

Most-used weapons

AK-4719,005

M4A4 / M4A1-S11,252

AWP3,739

MP93,533

P2000 / USP-S2,809

Glock-182,061

MAC-101,468

Nova1,354

SSG 081,337

Desert Eagle1,158

Lifetime map wins

6,787inferno

4,261dust2

2,780nuke

1,898vertigo

558train

189cbble

71dust

41italy

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

Faceit stats

Combat

175Matches

55%Win rate

0.96Avg K/D

72.6ADR

42%Headshot %

Clutches & streaks

32%1v1 clutch win

11%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	50	52%	0.78	12.0
Anubis	29	59%	0.79	11.6
Inferno	26	65%	1.28	16.3
Dust2	24	50%	1.07	12.6
Ancient	22	50%	1.11	16.2
Nuke	14	79%	1.11	14.6
Train	5	20%	0.65	10.8
Vertigo	2	0%	0.52	9.0

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.

14.9%Headshot accuracy

36.3%Accuracy (enemy spotted)

34.9%Spray accuracy

71.4%Counter-strafing

11.1°Preaim

587msReaction time

34.8%T opening success

44.8%CT opening success

0.46Enemies flashed / flash

8.0%Flash assists

13.38HE damage / grenade

9.14Flashes / 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 14.8799% — 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 0.4642 — 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 34.8271% — 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.

38% 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	4–13	0.10	21%	28 Aug →
anubis	6–13	-0.03	7%	28 Aug →
inferno	10–13	-0.04	16%	27 Aug →
inferno	7–13	0.01	11%	27 Aug →
nuke	13–6	-0.00	9%	25 Aug →
inferno	13–5	0.02	13%	25 Aug →
anubis	0–13	-0.08	11%	25 Aug →
mirage	9–13	-0.06	14%	24 Aug →
ancient	12–12	0.05	12%	24 Aug →
inferno	8–13	-0.02	14%	24 Aug →
anubis	6–13	0.04	12%	23 Aug →
dust2	4–0	0.03	20%	23 Aug →
mirage	8–13	0.04	21%	23 Aug →
mirage	9–13	-0.03	18%	23 Aug →
cache	11–13	-0.05	24%	23 Aug →
anubis	13–4	0.01	14%	22 Aug →
nuke	13–8	0.09	16%	22 Aug →
cache	13–9	0.03	9%	22 Aug →
anubis	9–13	-0.05	11%	22 Aug →
mirage	13–6	0.02	20%	21 Aug →
dust2	13–9	0.01	27%	21 Aug →
dust2	12–12	0.02	18%	21 Aug →
ancient	6–13	0.03	12%	21 Aug →
inferno	4–13	-0.03	17%	21 Aug →
mirage	1–13	-0.06	0%	20 Aug →
ancient	13–3	0.02	17%	20 Aug →
anubis	13–6	-0.03	15%	20 Aug →
ancient	13–1	0.09	11%	20 Aug →
mirage	13–4	-0.00	15%	19 Aug →
mirage	13–7	0.03	20%	19 Aug →
mirage	13–8	0.01	14%	19 Aug →
dust2	13–3	0.08	18%	19 Aug →
dust2	13–7	0.01	15%	19 Aug →
mirage	9–13	-0.03	18%	19 Aug →
dust2	13–11	-0.05	21%	18 Aug →
nuke	11–13	0.01	20%	18 Aug →
mirage	13–8	0.03	10%	18 Aug →
inferno	8–13	0.07	17%	18 Aug →
mirage	13–2	0.04	26%	17 Aug →
inferno	6–13	-0.01	14%	17 Aug →
anubis	14–16	-0.01	9%	17 Aug →
train	7–13	-0.03	19%	16 Aug →
dust2	2–13	-0.10	8%	16 Aug →
inferno	6–13	-0.05	10%	16 Aug →
inferno	13–9	0.04	19%	16 Aug →
nuke	13–7	-0.01	21%	15 Aug →
anubis	10–13	0.02	14%	15 Aug →
cache	13–10	-0.03	19%	15 Aug →
inferno	13–3	0.04	17%	15 Aug →
anubis	12–12	-0.04	15%	15 Aug →
inferno	11–13	-0.04	11%	14 Aug →
anubis	2–13	0.04	14%	14 Aug →
nuke	10–13	-0.05	18%	14 Aug →
mirage	0–13	-0.08	17%	11 Aug →
nuke	3–13	-0.03	17%	11 Aug →
anubis	13–7	0.05	26%	11 Aug →
nuke	6–13	-0.02	21%	10 Aug →
mirage	12–12	0.04	26%	10 Aug →
dust2	13–0	0.06	22%	10 Aug →
cache	13–4	0.05	23%	10 Aug →
inferno	5–13	-0.07	16%	9 Aug →
ancient	13–10	0.02	15%	9 Aug →
cache	13–5	0.06	22%	9 Aug →
mirage	7–13	-0.04	12%	9 Aug →
inferno	13–3	0.10	13%	9 Aug →
anubis	13–6	0.05	20%	9 Aug →
nuke	13–16	-0.01	18%	8 Aug →
anubis	13–6	0.10	14%	8 Aug →
inferno	13–11	0.05	21%	7 Aug →
cache	13–9	-0.01	22%	7 Aug →
anubis	7–13	-0.01	10%	6 Aug →
nuke	13–11	0.00	14%	6 Aug →
inferno	3–13	-0.10	23%	6 Aug →
inferno	13–5	-0.07	20%	5 Aug →
mirage	11–13	0.05	13%	5 Aug →
anubis	13–5	0.05	18%	5 Aug →
anubis	5–13	-0.00	23%	3 Aug →
ancient	12–12	0.03	18%	3 Aug →
inferno	12–12	0.10	14%	3 Aug →
inferno	13–8	0.04	22%	2 Aug →
anubis	13–6	0.07	20%	2 Aug →
mirage	13–4	0.08	31%	2 Aug →
inferno	13–7	0.02	11%	2 Aug →
mirage	16–14	0.01	13%	2 Aug →
nuke	7–13	-0.08	11%	2 Aug →
anubis	13–5	-0.01	17%	1 Aug →
cache	16–12	0.03	20%	1 Aug →
inferno	13–10	0.09	31%	1 Aug →
dust2	13–5	0.01	48%	31 Jul →
mirage	13–9	0.05	12%	31 Jul →
nuke	9–13	-0.01	7%	31 Jul →
inferno	10–13	-0.02	27%	30 Jul →
nuke	13–9	0.03	29%	30 Jul →
anubis	13–5	-0.00	8%	30 Jul →
cache	9–13	-0.03	21%	29 Jul →
inferno	11–13	0.09	19%	29 Jul →
nuke	9–13	-0.03	13%	29 Jul →
anubis	13–7	0.01	11%	29 Jul →
ancient	11–13	-0.04	17%	28 Jul →
mirage	6–13	-0.04	21%	28 Jul →