mikelele — CS2 Stats

AT76561198388102813[U:1:427837085]Steam profile ↗✓ No bans

3,406Tracked matches63%Win rate2020Tracked since

5,310Hours in CS10Hrs last 2 wks

CSDB Rating6.7 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim83

Positioning54

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY52–48Last 10052%Win rateLLWWLLLLWW

Last 10 vs previous 10: -30pp win rate · +0.01 avg rating

Player DNA

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

Aim8.3

Aggression5.2

Utility5.1

Positioning5.4

Opening Duels1.8

Clutch3.2

Strong CT-side openerLimited 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 93% playstyle similarity

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

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.

T-side openings. Opening success drops from 54% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.3

Positioning5.4

Utility5.1

Mechanics6.7

Opening Duels3.0

Win Impact9.4

Composite 6.7/10 (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 rating0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg 0.00

Reaction time525ms−35ms

first ⅓ avg 560ms → last ⅓ avg 525ms

Headshot accuracy20.9%−4.2%

first ⅓ avg 25.0% → last ⅓ avg 20.9%

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

0.13Best rating — overpass 16–13

13–1Biggest win — ancient

7Longest win streak

L2Current streak

9–5In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 71% over 7infernoWeakest map · 42% over 31

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	31	13–18	42%	-0.00
ancient	A	28	17–11	61%	0.01
overpass	S	12	8–4	67%	0.01
dust2	A	9	5–4	56%	0.00
nuke	S	7	5–2	71%	0.00
anubis	B	6	3–3	50%	-0.01
cache	—	3	1–2	33%	-0.03
mirage	—	3	0–3	0%	0.01
train	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 31). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

174,720Lifetime kills

1.06K/D · Top 50% of tracked players

8,024Matches

45.8%Match win rate

43.8%Headshot %

13.1%Shot accuracy · Top 50% of tracked players

22,502MVPs

3,831Hours (in match)

9,037Bombs planted

2,123Bombs defused

Most-used weapons

AK-4758,090

AWP35,371

M4A4 / M4A1-S22,544

Desert Eagle12,580

P2000 / USP-S10,495

Glock-186,756

Knife4,259

MAC-103,382

FAMAS2,771

P2502,335

Lifetime map wins

26,777inferno

6,218dust2

3,772nuke

2,081vertigo

2,074train

1,236cbble

104office

60lake

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

Faceit stats

Combat

4,184Matches

51%Win rate

1.19Avg K/D

81.2ADR

45%Headshot %

Clutches & streaks

36%1v1 clutch win

24%1v2 clutch win

13Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	587	57%	1.16	16.6
Inferno	456	57%	1.20	16.9
Anubis	305	47%	1.04	15.7
Dust2	226	38%	0.99	15.7
Nuke	123	46%	1.11	16.9
Overpass	97	43%	1.03	16.2
Mirage	80	45%	1.05	15.9
Vertigo	26	38%	1.14	18.4

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.

21.3%Headshot accuracy

34.4%Accuracy (enemy spotted)

41.7%Spray accuracy

80.2%Counter-strafing

9.1°Preaim

515msReaction time

20.9%T opening success

53.8%CT opening success

0.51Enemies flashed / flash

13.2%Flash assists

8.87HE damage / grenade

3.29Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.2877 — below the 4 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 20.8561% — 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.

42% win rate across 31 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
cache	3–13	-0.08	22%	23 Aug →
anubis	2–13	-0.04	12%	22 Aug →
cache	13–9	0.02	20%	22 Aug →
dust2	13–5	0.09	24%	22 Aug →
inferno	13–16	-0.03	24%	22 Aug →
ancient	9–13	0.03	17%	21 Aug →
dust2	7–13	0.00	23%	6 Jul →
inferno	9–13	-0.06	28%	6 Jul →
ancient	13–11	-0.01	25%	28 Jun →
inferno	13–9	0.06	23%	24 Jun →
ancient	13–6	0.03	25%	24 Jun →
inferno	6–13	0.04	26%	12 Jun →
overpass	13–11	-0.03	23%	22 May →
nuke	13–4	-0.02	24%	17 May →
dust2	13–10	-0.03	17%	17 May →
ancient	13–6	0.04	17%	10 May →
inferno	4–13	-0.02	30%	9 May →
overpass	19–15	-0.01	17%	9 May →
inferno	13–3	-0.04	18%	6 May →
cache	5–13	-0.04	22%	6 May →
nuke	13–7	0.02	13%	6 May →
ancient	16–14	0.06	19%	6 May →
anubis	13–6	-0.02	10%	29 Apr →
dust2	13–11	0.02	33%	23 Apr →
ancient	13–6	0.03	17%	23 Apr →
ancient	13–11	-0.07	26%	23 Apr →
ancient	9–13	0.02	25%	19 Apr →
anubis	13–6	0.04	13%	18 Apr →
overpass	16–13	0.13	18%	12 Apr →
inferno	8–13	0.01	27%	18 Mar →
overpass	13–9	-0.07	22%	15 Mar →
ancient	13–2	0.05	19%	22 Feb →
nuke	13–7	-0.02	12%	5 Feb →
ancient	14–16	-0.04	32%	3 Feb →
anubis	13–6	0.06	12%	1 Feb →
overpass	13–7	0.05	21%	1 Feb →
inferno	13–10	-0.01	22%	1 Feb →
inferno	16–13	-0.02	25%	27 Jan →
inferno	9–13	0.01	24%	27 Jan →
overpass	11–13	-0.02	26%	26 Jan →
anubis	5–13	-0.03	22%	21 Jan →
overpass	16–13	-0.00	16%	20 Jan →
ancient	13–5	-0.00	18%	20 Jan →
inferno	4–13	-0.08	12%	18 Jan →
ancient	10–13	0.05	26%	13 Jan →
anubis	11–13	-0.05	16%	13 Jan →
nuke	7–13	-0.07	18%	13 Jan →
inferno	14–16	-0.03	15%	6 Jan →
ancient	13–4	0.01	22%	6 Jan →
nuke	9–13	-0.01	29%	18 Dec →
dust2	13–6	0.02	45%	11 Dec →
mirage	6–13	-0.00	19%	11 Dec →
overpass	10–13	0.08	20%	30 Nov →
nuke	13–2	0.05	37%	30 Nov →
inferno	8–13	-0.05	22%	21 Nov →
ancient	7–13	0.01	31%	21 Nov →
inferno	13–11	0.04	27%	16 Nov →
inferno	3–13	-0.03	14%	6 Nov →
dust2	8–13	-0.01	26%	4 Nov →
ancient	9–13	0.04	21%	31 Oct →
ancient	2–13	-0.02	18%	31 Oct →
inferno	7–13	-0.01	41%	27 Oct →
ancient	6–13	0.04	19%	22 Oct →
ancient	13–5	0.09	18%	17 Oct →
inferno	13–9	-0.03	27%	16 Oct →
inferno	10–13	0.00	24%	16 Oct →
inferno	14–16	0.04	41%	16 Oct →
ancient	13–8	0.01	26%	16 Oct →
ancient	13–11	-0.01	20%	7 Oct →
inferno	13–7	0.06	28%	5 Oct →
train	4–13	-0.06	29%	5 Oct →
ancient	13–10	0.01	43%	2 Oct →
overpass	13–6	-0.04	14%	30 Sept →
inferno	6–13	-0.06	24%	30 Sept →
ancient	9–13	0.07	18%	25 Sept →
inferno	9–13	-0.00	12%	23 Sept →
inferno	13–8	0.01	32%	22 Sept →
inferno	13–7	0.03	21%	22 Sept →
ancient	13–1	0.02	32%	19 Sept →
overpass	13–11	0.08	30%	19 Sept →
ancient	13–10	0.01	20%	1 Sept →
inferno	13–8	0.04	35%	1 Sept →
nuke	13–8	0.04	19%	27 Aug →
dust2	0–13	-0.10	13%	20 Aug →
ancient	19–17	-0.01	23%	20 Aug →
inferno	5–13	-0.06	19%	20 Aug →
inferno	12–16	0.04	26%	18 Aug →
mirage	10–13	0.00	18%	18 Aug →
inferno	13–8	0.03	38%	18 Aug →
inferno	13–9	0.03	29%	13 Aug →
ancient	13–7	-0.01	34%	13 Aug →
mirage	8–13	0.03	23%	12 Aug →
inferno	13–16	0.03	36%	11 Aug →
ancient	9–13	0.06	13%	11 Aug →
overpass	2–13	-0.09	26%	30 Jul →
dust2	13–10	0.08	35%	30 Jul →
ancient	10–13	-0.07	17%	30 Jul →
inferno	13–10	-0.00	27%	29 Jul →
overpass	9–13	0.03	29%	23 Jul →
dust2	5–13	-0.06	17%	22 Jul →