mithputtini — CS2 Stats

76561198172488778[U:1:212223050]Steam profile ↗✓ No bans

2,214Tracked matches53%Win rate2020Tracked since

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating23,768Top 50% of 819 CSDB-tracked playersPink band · top ~4.4% of ranked players (population est.)

CSDB Leaderboard#2795 of 11954 tracked

Ladder ranks via Leetify

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Performance scores

Aim93

Positioning55

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY53–47Last 10053%Win rateWWLLLWWLWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

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

Aim9.3

Aggression8.5

Utility5.8

Positioning5.5

Opening Duels3.8

Clutch4.2

Sharp aimerStrong CT-side opener

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 94% playstyle similarity

Most alike: aim profile, opening-duel success.

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 93 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

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 60% on CT to 31% 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

Aim9.3

Positioning5.5

Utility5.8

Mechanics5.7

Opening Duels3.8

Win Impact6.1

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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time471ms−48ms

first ⅓ avg 519ms → last ⅓ avg 471ms

Headshot accuracy21.9%−1.7%

first ⅓ avg 23.6% → last ⅓ avg 21.9%

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

0.12Best rating — mirage 13–3

14–2Biggest win — dust2

5Longest win streak

W2Current streak

12–7In matches decided by ≤2 rounds

19Overtime games

Map breakdown

infernoBest map · 68% over 22nukeWeakest map · 18% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	30	17–13	57%	0.02
inferno	S	22	15–7	68%	0.01
mirage	B	19	10–9	53%	0.01
nuke	D	11	2–9	18%	0.00
ancient	B	10	5–5	50%	-0.00
anubis	B	6	3–3	50%	0.04
cache	—	1	1–0	100%	-0.03
overpass	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,381Matches

57%Win rate

1.37Avg K/D

87.1ADR

45%Headshot %

Clutches & streaks

41%1v1 clutch win

26%1v2 clutch win

26Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	795	55%	1.38	18.9
Dust2	455	58%	1.45	19.4
Anubis	227	62%	1.32	17.9
Nuke	139	53%	1.42	18.5
Ancient	110	57%	1.45	17.5
Inferno	73	53%	1.31	16.8
Overpass	66	70%	1.35	18.8
Train	50	62%	1.39	19.3

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.

23.1%Headshot accuracy

41.5%Accuracy (enemy spotted)

48.0%Spray accuracy

75.5%Counter-strafing

7.9°Preaim

504msReaction time

31.2%T opening success

59.5%CT opening success

0.58Enemies flashed / flash

6.9%Flash assists

5.04HE damage / grenade

16.47Flashes / 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.

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 31.2417% — below the 40% mark we flag

Spend your practice time on Nuke

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–6	0.09	25%	26 Aug →
mirage	13–2	0.03	33%	26 Aug →
dust2	10–13	0.04	16%	21 Aug →
inferno	5–13	-0.02	15%	11 Aug →
dust2	10–13	0.00	37%	11 Aug →
inferno	13–2	0.01	16%	9 Aug →
dust2	1–0	0.00	0%	9 Aug →
nuke	5–13	-0.06	20%	9 Aug →
dust2	13–10	0.03	19%	9 Aug →
inferno	13–2	0.01	16%	9 Aug →
dust2	1–0	0.00	0%	9 Aug →
dust2	13–10	0.03	19%	9 Aug →
nuke	5–13	-0.06	20%	9 Aug →
inferno	4–13	-0.05	36%	7 Aug →
mirage	10–13	-0.02	22%	7 Aug →
dust2	7–13	0.03	29%	6 Aug →
inferno	6–13	-0.02	21%	6 Aug →
inferno	22–18	0.03	24%	4 Aug →
cache	13–10	-0.03	11%	4 Aug →
mirage	7–13	-0.02	25%	4 Aug →
ancient	13–2	0.04	21%	1 Aug →
anubis	16–14	0.05	28%	11 Jul →
anubis	17–19	0.02	14%	23 May →
mirage	13–2	0.05	48%	4 May →
inferno	13–3	-0.00	23%	4 May →
mirage	10–13	0.06	25%	4 May →
mirage	13–9	0.05	31%	4 May →
dust2	13–9	0.12	19%	3 May →
mirage	14–16	-0.03	26%	3 May →
ancient	6–13	-0.01	17%	3 May →
inferno	19–17	0.02	26%	30 Apr →
ancient	13–6	-0.01	20%	30 Apr →
nuke	11–13	0.00	17%	30 Apr →
nuke	4–13	0.00	17%	29 Apr →
ancient	11–13	-0.00	22%	29 Apr →
dust2	10–13	-0.01	26%	7 Apr →
nuke	5–13	0.00	25%	7 Apr →
mirage	13–8	0.03	23%	2 Apr →
inferno	13–9	-0.00	10%	2 Apr →
inferno	4–13	-0.00	12%	30 Mar →
dust2	8–13	-0.02	33%	30 Mar →
dust2	8–13	0.02	25%	22 Mar →
dust2	13–9	-0.02	14%	20 Mar →
nuke	16–14	0.05	27%	20 Mar →
mirage	13–3	0.12	10%	18 Mar →
dust2	3–13	-0.01	23%	18 Mar →
ancient	8–13	-0.05	24%	18 Mar →
inferno	16–14	0.06	13%	16 Mar →
dust2	13–9	0.03	21%	16 Mar →
mirage	13–10	-0.00	11%	13 Mar →
dust2	13–4	0.04	17%	13 Mar →
dust2	13–6	-0.02	14%	1 Mar →
inferno	5–13	-0.01	23%	1 Mar →
overpass	10–13	-0.02	15%	1 Mar →
mirage	13–5	0.04	24%	27 Feb →
inferno	19–16	0.05	15%	27 Feb →
nuke	3–13	0.04	23%	26 Feb →
inferno	13–7	0.04	26%	26 Feb →
dust2	8–13	0.08	24%	26 Feb →
ancient	17–19	-0.04	18%	25 Feb →
inferno	13–6	-0.03	33%	25 Feb →
dust2	10–13	0.01	33%	25 Feb →
dust2	22–20	0.05	21%	23 Feb →
ancient	13–10	-0.01	32%	23 Feb →
mirage	7–13	-0.03	13%	9 Feb →
mirage	4–13	-0.03	27%	8 Feb →
anubis	12–16	0.08	29%	8 Feb →
inferno	13–8	-0.01	17%	5 Feb →
dust2	4–13	-0.05	33%	5 Feb →
ancient	16–12	0.04	19%	5 Feb →
nuke	8–13	-0.03	20%	5 Feb →
dust2	13–7	0.06	22%	5 Feb →
ancient	11–13	-0.00	21%	5 Feb →
nuke	22–20	0.04	26%	23 Jan →
mirage	13–16	-0.04	32%	23 Jan →
dust2	6–13	0.02	25%	23 Jan →
mirage	13–2	0.09	15%	21 Jan →
anubis	13–9	-0.01	9%	20 Jan →
dust2	9–6	0.06	10%	19 Jan →
nuke	7–13	-0.01	19%	19 Jan →
mirage	16–12	-0.02	60%	19 Jan →
inferno	13–4	0.06	9%	16 Jan →
dust2	13–3	0.12	32%	16 Jan →
anubis	10–13	0.04	22%	16 Jan →
dust2	13–11	0.06	42%	15 Jan →
anubis	13–11	0.05	21%	15 Jan →
dust2	13–10	0.08	35%	13 Jan →
dust2	5–13	-0.03	36%	24 Dec →
mirage	6–13	-0.06	17%	18 Dec →
inferno	8–13	-0.00	24%	18 Dec →
inferno	6–13	0.00	33%	17 Oct →
dust2	7–13	0.02	46%	17 Oct →
mirage	16–13	0.02	11%	16 Oct →
inferno	13–9	0.06	26%	16 Oct →
dust2	13–11	0.00	14%	13 Oct →
ancient	19–17	0.05	8%	13 Oct →
mirage	2–13	-0.04	17%	13 Oct →
nuke	17–19	0.03	15%	11 Oct →
inferno	13–8	-0.00	21%	11 Oct →
dust2	14–2	0.01	20%	11 Oct →