KARMA — CS2 Stats

76561198097342232[U:1:137076504]Steam profile ↗✓ No bans

501Tracked matches73%Win rate2021Tracked since

CSDB Rating5.0 DevelopingPassive Rifler

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning40

Utility13

0–100 skill scores via Leetify.

Recent form

HOT69–30–1Last 10069%Win rateWWWWWWWLWL

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

Player DNA

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

Aim6.4

Aggression2.7

Utility1.3

Positioning4.0

Opening Duels0.0

Clutch0.0

Limited 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 NiKo 68% playstyle similarity

Most alike: positioning profile, 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. 630ms 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

Aim6.4

Positioning4.0

Utility1.3

Mechanics7.4

Opening Duels0.2

Win Impact10.0

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02

first ⅓ avg -0.00 → last ⅓ avg -0.02

Reaction time640ms−2ms

first ⅓ avg 642ms → last ⅓ avg 640ms

Headshot accuracy26.3%+1.0%

first ⅓ avg 25.3% → last ⅓ avg 26.3%

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

0.19Best rating — nuke 13–2

13–0Biggest win — dust2

11Longest win streak

W7Current streak

5–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

nukeBest map · 80% over 5dust2Weakest map · 59% over 29

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	31	24–7	77%	0.02
dust2	A	29	17–12	59%	-0.02
inferno	S	12	9–3	75%	-0.03
nuke	S	5	4–1	80%	0.01
office	—	4	3–1	75%	0.01
overpass	—	4	1–3	25%	-0.01
cache	—	3	2–1	67%	-0.04
anubis	—	3	3–0	100%	0.01
ancient	—	3	1–2	33%	-0.03
train	—	2	1–1	50%	0.00
vertigo	—	2	2–0	100%	0.01
warden	—	1	1–0	100%	0.01
italy	—	1	1–0	100%	-0.13

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (59% over 29). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

10Matches

60%Win rate

1.08Avg K/D

80.0ADR

54%Headshot %

Clutches & streaks

17%1v1 clutch win

20%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	3	100%	1.52	16.7
Inferno	2	50%	1.03	15.0
Mirage	2	50%	0.92	22.0
Vertigo	1	100%	1.31	21.0

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.

27.0%Headshot accuracy

28.3%Accuracy (enemy spotted)

29.6%Spray accuracy

83.5%Counter-strafing

10.3°Preaim

630msReaction time

17.7%T opening success

31.8%CT opening success

0.19Enemies flashed / flash

0.0%Flash assists

8.93HE damage / grenade

0.67Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.1904 — 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 17.7242% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–10	0.04	46%	3 Aug →
dust2	13–5	-0.04	21%	3 Aug →
dust2	13–7	-0.00	18%	3 Aug →
mirage	13–7	0.01	36%	25 Jul →
nuke	13–10	-0.03	26%	25 Jul →
inferno	13–11	-0.09	15%	21 Jul →
cache	13–10	-0.05	24%	21 Jul →
cache	3–13	-0.02	71%	21 Jul →
anubis	13–2	-0.05	23%	21 Jul →
mirage	8–13	0.02	28%	14 Jul →
dust2	1–13	-0.06	11%	14 Jul →
mirage	7–0	-0.05	0%	14 Jul →
mirage	3–9	-0.03	36%	8 Jul →
dust2	13–8	0.01	20%	5 Jul →
mirage	13–5	0.01	26%	24 Jun →
mirage	13–5	0.10	36%	24 Jun →
dust2	13–1	-0.07	0%	23 May →
dust2	13–0	0.01	43%	23 May →
inferno	13–1	-0.06	16%	23 May →
dust2	7–13	-0.01	36%	21 May →
dust2	13–4	-0.02	14%	15 May →
dust2	13–4	-0.05	63%	15 May →
inferno	13–1	-0.03	44%	12 May →
nuke	13–4	-0.06	10%	12 May →
mirage	13–6	-0.01	33%	12 May →
dust2	5–9	-0.01	17%	8 May →
mirage	4–13	-0.06	14%	5 May →
cache	13–9	-0.04	21%	5 May →
inferno	13–3	-0.06	19%	3 May →
dust2	6–13	-0.01	21%	3 May →
mirage	0–8	-0.02	13%	30 Apr →
mirage	13–0	-0.01	29%	23 Apr →
mirage	13–0	0.05	36%	23 Apr →
dust2	13–0	-0.06	50%	23 Apr →
mirage	13–4	0.10	28%	19 Apr →
mirage	13–5	0.07	19%	14 Apr →
dust2	13–5	-0.00	28%	14 Apr →
inferno	13–16	-0.01	33%	8 Apr →
dust2	13–5	-0.01	24%	5 Apr →
mirage	13–2	-0.07	13%	5 Apr →
dust2	5–13	-0.08	28%	4 Apr →
ancient	11–13	-0.02	31%	26 Mar →
mirage	8–1	0.10	29%	26 Mar →
mirage	13–3	0.02	24%	26 Mar →
mirage	5–5	0.19	56%	26 Mar →
inferno	13–7	-0.02	21%	22 Mar →
office	13–4	0.03	53%	22 Mar →
anubis	13–6	0.04	27%	22 Mar →
office	13–5	0.03	35%	19 Mar →
office	13–3	0.05	14%	19 Mar →
inferno	11–13	0.04	24%	12 Mar →
overpass	5–13	-0.03	41%	12 Mar →
inferno	13–11	-0.05	26%	11 Mar →
anubis	13–10	0.05	17%	3 Mar →
train	13–2	0.01	20%	28 Feb →
mirage	13–1	0.12	26%	28 Feb →
overpass	7–13	0.03	23%	22 Feb →
mirage	13–5	-0.03	20%	9 Feb →
nuke	13–7	0.01	24%	9 Feb →
dust2	13–8	-0.09	31%	9 Feb →
dust2	13–2	0.03	34%	9 Feb →
dust2	13–10	0.01	25%	9 Feb →
dust2	13–8	0.04	27%	9 Feb →
mirage	13–4	0.03	41%	9 Feb →
ancient	1–13	-0.02	22%	9 Feb →
mirage	13–7	0.03	35%	7 Feb →
inferno	13–9	0.02	24%	7 Feb →
mirage	5–13	-0.06	31%	6 Feb →
overpass	8–13	-0.04	24%	31 Jan →
dust2	5–13	-0.02	28%	31 Jan →
mirage	13–9	0.03	35%	31 Jan →
warden	13–2	0.01	36%	29 Jan →
office	8–13	-0.05	50%	27 Jan →
mirage	13–4	-0.03	26%	22 Jan →
dust2	12–12	0.01	32%	21 Jan →
dust2	10–13	-0.02	33%	20 Jan →
dust2	8–13	-0.03	28%	17 Jan →
nuke	5–13	-0.04	31%	17 Jan →
dust2	11–13	0.03	20%	17 Jan →
dust2	7–13	-0.01	19%	17 Jan →
inferno	13–9	0.01	16%	16 Jan →
mirage	13–7	-0.03	22%	8 Jan →
mirage	13–6	0.09	28%	8 Jan →
inferno	1–1	-0.08	0%	8 Jan →
ancient	13–11	-0.05	18%	6 Jan →
mirage	13–2	-0.01	13%	4 Jan →
dust2	13–11	0.02	26%	1 Jan →
overpass	13–8	0.01	35%	31 Dec →
italy	13–9	-0.13	14%	31 Dec →
dust2	13–8	0.04	16%	25 Dec →
mirage	13–10	0.02	30%	25 Dec →
train	11–13	-0.00	26%	21 Dec →
dust2	8–13	-0.03	33%	21 Dec →
inferno	10–13	0.02	22%	20 Dec →
dust2	13–9	0.01	32%	17 Dec →
vertigo	13–2	-0.02	24%	17 Dec →
vertigo	13–4	0.03	9%	17 Dec →
mirage	13–8	0.09	33%	16 Dec →
nuke	13–2	0.19	26%	16 Dec →
mirage	9–13	0.01	21%	16 Dec →