evpire — CS2 Stats

76561198178588735[U:1:218323007]

389Tracked matches53%Win rate2021Tracked since

CSDB Rating5.8 SolidAggressive Rifler

Premier CS Rating14,999Blue band · top ~28.4% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim75

Positioning63

Utility45

0–100 skill scores via Leetify.

Recent form

STEADY51–48–1Last 10051%Win rateWLLWWWWLWL

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

Player DNA

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

Aim7.5

Aggression8.0

Utility4.5

Positioning6.3

Opening Duels3.3

Clutch4.2

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 b1t 91% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

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

Reaction time. 595ms 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

Aim7.5

Positioning6.3

Utility4.5

Mechanics6.4

Opening Duels3.3

Win Impact6.1

Composite 5.8/10 (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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time595ms−49ms

first ⅓ avg 644ms → last ⅓ avg 595ms

Headshot accuracy19.5%−6.6%

first ⅓ avg 26.1% → last ⅓ avg 19.5%

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

0.18Best rating — ancient 6–1

13–2Biggest win — mirage

5Longest win streak

8–8In matches decided by ≤2 rounds

14Overtime games

Map breakdown

dust2Best map · 75% over 8infernoWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	29	16–13	55%	0.01
nuke	B	15	7–8	47%	0.01
inferno	D	14	4–10	29%	-0.01
cache	A	11	7–4	64%	0.02
ancient	A	10	6–4	60%	0.06
dust2	S	8	6–2	75%	0.03
overpass	D	7	2–5	29%	0.02
train	—	4	2–2	50%	0.02
anubis	—	2	1–1	50%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

68Matches

49%Win rate

0.97Avg K/D

75.0ADR

51%Headshot %

Clutches & streaks

41%1v1 clutch win

7%1v2 clutch win

3Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	22	50%	0.99	13.8
Ancient	8	50%	1.09	19.1
Nuke	8	12%	0.62	10.1
Dust2	8	75%	1.09	13.8
Inferno	6	50%	1.08	13.0
Overpass	5	80%	0.90	11.4
Anubis	5	40%	0.86	10.4
Vertigo	3	33%	1.16	15.7

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.

19.3%Headshot accuracy

37.1%Accuracy (enemy spotted)

42.1%Spray accuracy

78.8%Counter-strafing

10.2°Preaim

595msReaction time

39.5%T opening success

46.9%CT opening success

0.45Enemies flashed / flash

2.3%Flash assists

9.28HE damage / grenade

7.57Flashes / 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 0.4491 — 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 39.5144% — 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 14 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	13–10	0.07	26%	28 Aug →
mirage	9–13	-0.03	16%	28 Aug →
inferno	6–13	-0.02	23%	21 Aug →
mirage	13–10	0.01	11%	18 Aug →
cache	16–13	0.02	15%	15 Aug →
cache	13–4	0.13	27%	15 Aug →
mirage	13–9	0.08	25%	15 Aug →
mirage	13–16	0.00	10%	15 Aug →
mirage	13–8	-0.01	23%	6 Aug →
cache	6–13	-0.02	19%	2 Aug →
mirage	5–13	-0.04	16%	2 Aug →
cache	13–7	0.02	23%	2 Aug →
cache	13–6	0.02	17%	2 Aug →
mirage	9–13	-0.04	17%	1 Aug →
inferno	10–13	0.01	11%	1 Aug →
dust2	13–3	0.00	19%	1 Aug →
cache	14–16	-0.00	17%	31 Jul →
cache	13–16	0.04	19%	30 Jul →
inferno	13–9	0.02	24%	27 Jul →
dust2	13–8	0.02	21%	24 Jul →
cache	9–13	0.02	36%	22 Jul →
ancient	13–3	0.12	13%	22 Jul →
ancient	13–11	-0.01	14%	18 Jul →
inferno	10–13	0.02	25%	17 Jul →
cache	16–14	0.00	17%	10 Jul →
mirage	8–13	-0.02	13%	9 Jul →
cache	13–9	-0.04	28%	9 Jul →
mirage	4–13	-0.05	15%	9 Jul →
cache	13–6	-0.01	24%	8 Jul →
mirage	7–13	-0.03	21%	1 Jul →
mirage	13–6	-0.07	18%	1 Jul →
anubis	7–13	0.00	16%	1 Jul →
nuke	14–16	-0.02	23%	1 Jul →
mirage	13–7	0.00	27%	28 Jun →
dust2	13–7	0.02	32%	27 Jun →
inferno	13–5	-0.02	24%	27 Jun →
overpass	10–13	0.01	22%	27 Jun →
mirage	13–8	0.02	17%	27 Jun →
mirage	13–2	0.11	20%	26 Jun →
nuke	5–13	-0.02	31%	18 Apr →
overpass	10–13	0.00	31%	18 Apr →
nuke	8–13	0.02	31%	17 Apr →
anubis	13–5	0.05	12%	28 Feb →
mirage	13–5	0.03	67%	28 Feb →
overpass	11–13	0.02	26%	28 Feb →
inferno	7–13	-0.04	33%	13 Dec →
nuke	14–16	0.02	21%	13 Dec →
nuke	10–13	-0.04	10%	26 Nov →
inferno	16–13	-0.02	48%	26 Nov →
inferno	10–13	-0.02	24%	14 Nov →
train	5–13	0.05	46%	14 Nov →
mirage	9–13	0.02	21%	9 Nov →
ancient	13–11	0.04	29%	8 Nov →
nuke	13–10	0.03	40%	8 Nov →
nuke	13–16	0.01	25%	8 Nov →
mirage	13–6	0.03	21%	7 Nov →
mirage	13–5	0.14	26%	26 Oct →
nuke	13–16	0.05	15%	26 Oct →
overpass	13–6	0.09	22%	26 Oct →
nuke	13–11	-0.01	17%	25 Oct →
nuke	13–10	0.09	17%	25 Oct →
ancient	10–13	0.11	23%	25 Oct →
mirage	11–13	0.02	24%	25 Oct →
dust2	13–11	0.02	26%	25 Oct →
ancient	13–8	0.04	17%	24 Oct →
inferno	10–13	-0.02	16%	24 Oct →
ancient	14–16	0.04	30%	24 Oct →
mirage	7–13	-0.05	20%	24 Oct →
mirage	13–7	0.03	30%	24 Oct →
mirage	5–13	-0.02	21%	24 Oct →
inferno	9–13	-0.01	16%	24 Oct →
inferno	9–13	-0.04	25%	22 Oct →
mirage	13–2	0.01	28%	22 Oct →
dust2	13–6	0.10	25%	22 Oct →
mirage	9–13	0.04	23%	21 Oct →
overpass	14–16	-0.01	24%	19 Oct →
inferno	13–6	0.04	50%	19 Oct →
nuke	13–7	-0.03	32%	19 Oct →
ancient	15–15	0.07	21%	18 Oct →
nuke	6–13	0.01	26%	18 Oct →
mirage	13–8	-0.02	18%	18 Oct →
nuke	16–14	0.01	28%	18 Oct →
mirage	13–11	-0.03	22%	18 Oct →
dust2	8–13	0.03	34%	13 Oct →
mirage	7–13	-0.02	23%	7 Oct →
train	13–9	0.02	26%	7 Oct →
overpass	13–9	0.06	34%	7 Oct →
ancient	9–13	0.02	17%	7 Oct →
train	13–4	-0.00	24%	7 Oct →
nuke	13–11	0.00	40%	7 Oct →
mirage	13–2	0.02	13%	7 Oct →
nuke	13–8	0.00	23%	7 Oct →
ancient	6–1	0.18	44%	7 Oct →
inferno	10–13	0.02	31%	4 Oct →
overpass	7–13	-0.03	29%	27 Sept →
ancient	13–9	0.01	19%	27 Sept →
train	10–13	0.01	38%	26 Sept →
inferno	10–13	-0.00	20%	26 Sept →
mirage	13–9	0.06	19%	24 Sept →
dust2	11–13	-0.01	16%	24 Sept →