Krammy — CS2 Stats

DE76561198090764549[U:1:130498821]Steam profile ↗

2,071Tracked matches57%Win rate2020Tracked since

CSDB Rating5.6 SolidHybrid Rifler

FaceitLevel 10 · 2,566 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim67

Positioning56

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY55–44–1Last 10055%Win rateLLWLWLLLWW

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

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

Aim6.7

Aggression6.6

Utility5.1

Positioning5.6

Opening Duels2.3

Clutch3.2

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 Twistzz 89% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 558ms 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

Aim6.7

Positioning5.6

Utility5.1

Mechanics4.2

Opening Duels2.3

Win Impact7.2

Composite 5.6/10 (Solid), 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 rating0.02−0.03

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time554ms−20ms

first ⅓ avg 574ms → last ⅓ avg 554ms

Headshot accuracy20.5%+0.5%

first ⅓ avg 19.9% → last ⅓ avg 20.5%

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 — cache 5–13

13–0Biggest win — anubis

10Longest win streak

L2Current streak

10–7In matches decided by ≤2 rounds

14Overtime games

Map breakdown

anubisBest map · 72% over 18cacheWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	36	22–14	61%	0.04
ancient	B	20	10–10	50%	0.02
anubis	S	18	13–5	72%	0.02
cache	D	8	2–6	25%	0.03
nuke	D	6	2–4	33%	0.01
mirage	A	5	3–2	60%	0.04
overpass	—	3	2–1	67%	0.05
alpine	—	2	0–2	0%	0.00
vertigo	—	1	1–0	100%	0.06
italy	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Faceit stats

Combat

3,754Matches

51%Win rate

1.14Avg K/D

84.6ADR

39%Headshot %

Clutches & streaks

36%1v1 clutch win

25%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	261	63%	1.30	18.3
Ancient	251	52%	1.16	17.9
Anubis	171	47%	1.08	17.2
Dust2	100	47%	1.14	17.5
Overpass	59	56%	1.24	17.1
Mirage	48	50%	1.28	17.0
Nuke	37	49%	1.06	16.5
Cache	28	43%	1.26	18.3

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.

19.5%Headshot accuracy

34.2%Accuracy (enemy spotted)

37.5%Spray accuracy

68.7%Counter-strafing

9.3°Preaim

558msReaction time

34.6%T opening success

44.1%CT opening success

0.37Enemies flashed / flash

8.5%Flash assists

10.27HE damage / grenade

10.44Flashes / 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 0.3651 — 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 34.5983% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	5–13	0.04	26%	29 Aug →
cache	16–19	-0.07	17%	23 Aug →
anubis	13–8	0.02	11%	19 Aug →
nuke	3–13	0.07	24%	18 Aug →
anubis	13–6	0.05	17%	18 Aug →
ancient	11–13	-0.03	13%	17 Aug →
ancient	10–13	-0.02	22%	14 Aug →
cache	7–13	-0.01	28%	9 Aug →
anubis	13–7	0.02	17%	8 Aug →
inferno	13–5	0.06	22%	26 Jul →
anubis	14–16	0.06	13%	20 Jul →
cache	13–16	-0.02	23%	19 Jul →
anubis	13–0	0.07	27%	17 Jul →
cache	6–13	-0.02	28%	17 Jul →
inferno	13–4	0.05	32%	14 Jul →
anubis	13–9	0.02	18%	13 Jul →
inferno	11–0	0.01	20%	9 Jul →
inferno	8–13	-0.01	27%	3 Jul →
anubis	13–9	0.02	24%	30 Jun →
ancient	13–6	-0.03	15%	30 Jun →
ancient	13–8	-0.01	20%	29 Jun →
inferno	19–17	0.03	13%	28 Jun →
anubis	11–13	-0.03	12%	27 Jun →
ancient	13–11	0.04	13%	24 Jun →
anubis	13–5	0.01	11%	24 Jun →
inferno	13–7	0.08	25%	10 Jun →
inferno	9–13	-0.00	13%	6 Jun →
alpine	9–13	-0.05	20%	15 May →
inferno	13–11	0.05	18%	14 May →
cache	13–2	0.04	45%	14 May →
inferno	13–11	0.04	22%	11 May →
mirage	13–10	0.07	17%	11 May →
anubis	7–13	-0.01	24%	10 May →
cache	9–13	0.07	22%	1 May →
cache	5–13	0.19	28%	1 May →
cache	13–8	0.03	24%	29 Apr →
ancient	13–8	0.05	22%	21 Apr →
inferno	13–9	0.07	25%	19 Apr →
inferno	13–8	0.01	10%	18 Apr →
anubis	13–9	0.00	7%	18 Apr →
overpass	13–11	0.06	10%	18 Apr →
inferno	13–10	0.03	15%	13 Apr →
ancient	13–10	-0.06	14%	6 Apr →
inferno	13–7	0.07	15%	5 Apr →
anubis	13–6	-0.03	24%	2 Apr →
ancient	10–13	-0.02	18%	30 Mar →
anubis	5–13	-0.08	30%	29 Mar →
ancient	11–13	-0.02	24%	29 Mar →
ancient	5–13	-0.03	12%	27 Mar →
inferno	11–13	0.11	21%	26 Mar →
inferno	13–6	0.10	12%	25 Mar →
inferno	13–16	0.08	21%	25 Mar →
inferno	14–16	0.10	20%	23 Mar →
nuke	13–10	0.08	20%	19 Mar →
mirage	16–13	-0.03	16%	18 Mar →
inferno	13–2	0.03	11%	18 Mar →
inferno	16–13	0.03	18%	11 Mar →
inferno	7–13	0.04	19%	9 Mar →
anubis	13–11	0.03	19%	7 Mar →
inferno	13–11	0.06	22%	6 Mar →
inferno	4–13	0.06	15%	2 Mar →
inferno	13–11	0.06	48%	24 Feb →
inferno	13–10	0.02	39%	23 Feb →
overpass	13–11	0.06	23%	21 Feb →
anubis	3–13	-0.02	21%	15 Feb →
ancient	16–13	0.00	16%	14 Feb →
nuke	6–13	-0.08	9%	10 Feb →
mirage	8–13	0.04	18%	8 Feb →
ancient	13–7	0.05	16%	7 Feb →
nuke	7–13	-0.03	12%	7 Feb →
inferno	8–13	0.02	38%	7 Feb →
inferno	13–8	-0.01	20%	1 Feb →
ancient	11–13	-0.00	21%	1 Feb →
ancient	12–16	0.08	14%	31 Jan →
inferno	7–13	-0.04	13%	31 Jan →
ancient	16–13	0.02	17%	31 Jan →
inferno	13–5	0.07	26%	31 Jan →
mirage	5–13	0.01	15%	31 Jan →
inferno	7–13	0.02	35%	31 Jan →
inferno	8–13	0.02	27%	31 Jan →
nuke	13–6	0.02	24%	27 Jan →
nuke	4–13	0.01	21%	26 Jan →
ancient	3–13	0.02	26%	26 Jan →
ancient	13–16	0.09	17%	26 Jan →
vertigo	9–6	0.06	14%	26 Jan →
mirage	13–10	0.12	31%	25 Jan →
anubis	13–9	0.03	12%	25 Jan →
alpine	10–13	0.05	16%	25 Jan →
italy	8–13	0.02	17%	25 Jan →
anubis	13–9	0.07	13%	25 Jan →
ancient	7–13	0.06	16%	25 Jan →
overpass	6–13	0.04	21%	25 Jan →
inferno	16–12	0.12	21%	25 Jan →
inferno	10–13	0.01	27%	25 Jan →
anubis	13–8	0.12	23%	25 Jan →
ancient	13–6	0.13	19%	25 Jan →
inferno	13–10	0.02	17%	25 Jan →
ancient	13–2	0.12	18%	25 Jan →
inferno	15–15	0.01	17%	24 Jan →
inferno	13–11	0.08	18%	24 Jan →