Weetempy01 — CS2 Stats

GB76561198179074385[U:1:218808657]Steam profile ↗✓ No bans

672Tracked matches47%Win rate2021Tracked since

CSDB Rating6.3 SolidEntry Fragger

Premier CS Rating13,618Blue band · top ~35.7% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim90

Positioning66

Utility27

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateWWLLLLWWWL

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim9.0

Aggression10.0

Utility2.7

Positioning6.6

Opening Duels6.3

Clutch6.2

Sharp aimerLimited 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 sh1ro 88% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

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. 581ms 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

Aim9.0

Positioning6.6

Utility2.7

Mechanics7.7

Opening Duels6.3

Win Impact3.9

Composite 6.3/10 (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 rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time585ms−64ms

first ⅓ avg 648ms → last ⅓ avg 585ms

Headshot accuracy19.1%+4.4%

first ⅓ avg 14.7% → last ⅓ avg 19.1%

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

0.18Best rating — train 13–1

13–0Biggest win — dust2

4Longest win streak

W2Current streak

10–9In matches decided by ≤2 rounds

10Overtime games

Map breakdown

infernoBest map · 100% over 5mirageWeakest map · 39% over 23

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	42	22–20	52%	0.03
mirage	C	23	9–14	39%	0.01
ancient	C	12	5–7	42%	0.04
cache	A	9	5–4	56%	-0.01
nuke	B	6	3–3	50%	0.00
inferno	S	5	5–0	100%	0.05
train	—	2	2–0	100%	0.13
anubis	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (39% over 23). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

94Matches

50%Win rate

1.10Avg K/D

80.5ADR

40%Headshot %

Clutches & streaks

51%1v1 clutch win

18%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	30	57%	1.09	16.7
Dust2	16	44%	0.92	14.8
Inferno	15	53%	1.20	16.4
Ancient	12	50%	1.18	17.3
Anubis	7	29%	1.06	16.0
Train	6	50%	1.23	18.3
Nuke	4	50%	1.44	22.5
Overpass	3	67%	1.07	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.

19.6%Headshot accuracy

43.1%Accuracy (enemy spotted)

46.0%Spray accuracy

84.6%Counter-strafing

8.7°Preaim

581msReaction time

53.1%T opening success

57.5%CT opening success

0.40Enemies flashed / flash

4.6%Flash assists

6.08HE damage / grenade

3.32Flashes / 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 0.4027 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Mirage

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

39% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–11	0.04	16%	27 Aug →
dust2	13–0	0.04	18%	27 Aug →
ancient	6–13	0.01	15%	27 Aug →
nuke	7–13	0.01	24%	27 Aug →
cache	14–16	-0.01	24%	26 Aug →
dust2	11–13	0.00	21%	26 Aug →
cache	13–6	-0.01	23%	26 Aug →
ancient	13–9	0.00	25%	26 Aug →
cache	13–11	-0.02	22%	26 Aug →
anubis	10–13	0.02	14%	26 Aug →
inferno	13–2	0.07	28%	26 Aug →
ancient	10–13	0.03	15%	26 Aug →
dust2	7–13	0.01	16%	26 Aug →
dust2	13–5	-0.02	33%	26 Aug →
ancient	2–11	0.10	9%	26 Aug →
cache	14–16	-0.01	12%	26 Aug →
mirage	5–13	-0.02	15%	23 Aug →
ancient	5–0	0.07	10%	23 Aug →
cache	9–13	-0.05	3%	23 Aug →
ancient	10–13	-0.00	15%	23 Aug →
mirage	8–13	-0.03	10%	21 Aug →
dust2	9–13	-0.04	19%	21 Aug →
inferno	13–9	0.06	27%	20 Aug →
cache	16–14	0.03	21%	20 Aug →
dust2	13–16	0.07	30%	20 Aug →
cache	13–2	0.01	18%	20 Aug →
nuke	13–6	-0.02	50%	20 Aug →
nuke	13–1	0.09	21%	20 Aug →
inferno	13–9	0.06	14%	20 Aug →
mirage	11–13	-0.00	14%	20 Aug →
dust2	10–13	0.08	13%	20 Aug →
nuke	13–16	-0.00	17%	20 Aug →
cache	13–5	0.04	17%	19 Aug →
dust2	13–9	0.09	19%	19 Aug →
dust2	11–13	-0.02	19%	19 Aug →
mirage	8–13	0.06	23%	19 Aug →
mirage	2–13	-0.04	18%	19 Aug →
mirage	3–13	-0.00	29%	19 Aug →
mirage	13–10	0.02	16%	18 Aug →
mirage	13–11	0.10	29%	1 May →
cache	12–12	-0.04	19%	30 Apr →
ancient	13–11	0.03	48%	28 Apr →
ancient	13–1	0.12	29%	26 Apr →
dust2	8–13	-0.01	24%	22 Apr →
dust2	16–13	-0.05	17%	22 Apr →
dust2	13–9	-0.04	21%	22 Apr →
ancient	5–13	-0.05	9%	28 Mar →
mirage	2–13	-0.08	9%	28 Mar →
mirage	2–7	-0.04	25%	27 Mar →
mirage	2–13	-0.05	23%	27 Mar →
mirage	13–6	0.10	21%	27 Mar →
mirage	13–11	0.00	14%	27 Mar →
inferno	13–8	0.02	17%	27 Mar →
dust2	13–10	0.06	21%	27 Mar →
mirage	10–13	-0.02	7%	27 Mar →
mirage	15–15	-0.03	13%	27 Mar →
dust2	7–13	-0.03	41%	26 Mar →
dust2	13–5	-0.03	25%	26 Mar →
nuke	13–9	-0.02	22%	12 Mar →
mirage	11–13	0.04	18%	1 Feb →
dust2	5–13	-0.10	29%	1 Feb →
mirage	13–16	-0.05	17%	1 Feb →
dust2	13–9	0.08	8%	30 Jan →
ancient	13–9	0.18	10%	30 Jan →
ancient	6–13	-0.05	13%	30 Jan →
dust2	15–15	0.02	26%	30 Jan →
mirage	13–3	0.08	19%	30 Jan →
mirage	13–11	0.02	11%	30 Jan →
dust2	11–13	-0.05	9%	30 Jan →
dust2	13–11	-0.04	22%	30 Jan →
mirage	13–2	0.08	16%	30 Jan →
ancient	8–13	-0.01	13%	18 Jan →
dust2	10–13	0.05	8%	4 Jan →
dust2	13–2	0.11	8%	4 Jan →
dust2	13–2	0.13	20%	4 Jan →
dust2	4–13	-0.08	6%	4 Jan →
dust2	13–5	0.04	38%	4 Jan →
mirage	10–13	-0.01	13%	4 Jan →
dust2	9–13	0.07	18%	3 Jan →
dust2	13–8	0.08	26%	3 Jan →
dust2	9–13	0.17	13%	3 Jan →
dust2	10–2	-0.03	20%	3 Jan →
mirage	6–1	0.03	10%	3 Jan →
dust2	13–6	0.06	8%	3 Jan →
mirage	13–10	0.07	16%	3 Jan →
dust2	9–13	0.10	17%	3 Jan →
dust2	9–4	-0.01	6%	3 Jan →
dust2	13–11	0.03	14%	3 Jan →
dust2	13–10	0.07	23%	3 Jan →
dust2	11–13	0.02	15%	3 Jan →
dust2	13–11	0.09	11%	3 Jan →
train	13–7	0.08	9%	3 Jan →
train	13–1	0.18	9%	3 Jan →
dust2	13–6	0.01	2%	3 Jan →
dust2	15–15	0.02	22%	2 Jan →
dust2	9–13	0.03	23%	1 Jan →
inferno	13–9	0.05	19%	31 Dec →
dust2	13–2	0.08	16%	31 Dec →
dust2	11–13	0.02	13%	31 Dec →
nuke	8–13	-0.03	12%	31 Dec →