TMB — CS2 Stats

PROECSTATICDenmarkIGLSettings & gear profile →

76561198084607254[U:1:124341526]

3,958Tracked matches57%Win rate2020Tracked since

CSDB Rating7.1 StrongAggressive Rifler

FaceitLevel 10 · 3,870 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim86

Positioning52

Utility74

0–100 skill scores via Leetify.

Recent form

STEADY56–44Last 10056%Win rateLWWWLLWLWW

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

Player DNA

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

Aim8.6

Aggression7.4

Utility7.4

Positioning5.2

Opening Duels3.2

Clutch3.4

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 Twistzz 93% playstyle similarity

Most alike: utility contribution, positioning 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.4° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 52% on CT to 33% 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

Aim8.6

Positioning5.2

Utility7.4

Mechanics6.5

Opening Duels3.2

Win Impact7.2

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time473ms−73ms

first ⅓ avg 546ms → last ⅓ avg 473ms

Headshot accuracy21.7%−0.6%

first ⅓ avg 22.3% → last ⅓ avg 21.7%

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

0.14Best rating — dust2 13–6

13–1Biggest win — overpass

5Longest win streak

12–10In matches decided by ≤2 rounds

13Overtime games

Map breakdown

overpassBest map · 86% over 14anubisWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	24	15–9	63%	-0.01
mirage	D	21	7–14	33%	-0.02
dust2	A	14	8–6	57%	0.00
overpass	S	14	12–2	86%	0.01
nuke	A	11	6–5	55%	-0.01
inferno	S	7	5–2	71%	0.00
anubis	D	7	2–5	29%	-0.01
cache	—	2	1–1	50%	-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7,347Matches

62%Win rate

1.20Avg K/D

81.6ADR

49%Headshot %

Clutches & streaks

37%1v1 clutch win

20%1v2 clutch win

25Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	423	62%	1.09	15.6
Nuke	311	57%	1.10	16.0
Mirage	268	55%	1.02	14.9
Anubis	127	50%	1.01	15.5
Inferno	115	56%	1.03	15.4
Overpass	98	64%	1.23	16.1
Dust2	88	52%	0.94	14.3
Train	86	66%	1.18	16.7

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$7,924Inventory value120ItemsFull inventory breakdown →

$1,743

$1,726

$1,625

$1,455

$400

$206

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

36.2%Accuracy (enemy spotted)

40.4%Spray accuracy

79.2%Counter-strafing

10.4°Preaim

462msReaction time

33.4%T opening success

52.4%CT opening success

0.55Enemies flashed / flash

12.7%Flash assists

11.43HE damage / grenade

16.77Flashes / 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 33.389% — below the 40% mark we flag

Spend your practice time on Anubis

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 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	17–19	-0.04	27%	24 Aug →
mirage	13–8	0.00	10%	13 Aug →
dust2	13–5	-0.05	37%	12 Aug →
inferno	13–7	0.06	23%	9 Aug →
anubis	11–13	-0.01	27%	9 Aug →
ancient	6–13	-0.01	15%	9 Aug →
ancient	13–7	-0.03	14%	9 Aug →
mirage	10–13	-0.02	16%	9 Aug →
inferno	13–8	0.04	14%	9 Aug →
ancient	13–5	-0.01	20%	8 Aug →
dust2	13–4	-0.09	17%	8 Aug →
ancient	11–13	0.01	14%	8 Aug →
inferno	19–17	0.01	23%	8 Aug →
anubis	10–13	-0.02	35%	8 Aug →
ancient	13–6	0.01	31%	7 Aug →
dust2	13–3	0.08	22%	7 Aug →
cache	6–13	-0.07	29%	30 Jul →
cache	13–9	-0.02	26%	30 Jul →
nuke	9–13	-0.03	23%	17 Jul →
ancient	6–13	0.00	23%	17 Jul →
nuke	16–14	-0.04	26%	16 Jul →
ancient	11–13	0.02	31%	16 Jul →
dust2	11–13	0.01	20%	16 Jul →
anubis	13–5	-0.07	27%	15 Jul →
nuke	13–5	0.00	41%	15 Jul →
dust2	8–13	-0.03	15%	15 Jul →
ancient	13–7	-0.04	15%	21 Jun →
dust2	10–13	-0.04	23%	21 Jun →
nuke	19–16	0.04	23%	21 Jun →
dust2	13–9	-0.02	28%	20 Jun →
anubis	13–11	0.05	6%	20 Jun →
ancient	16–14	-0.04	15%	18 Jun →
overpass	13–11	-0.07	5%	18 Jun →
mirage	7–13	-0.08	11%	7 Jun →
overpass	13–11	0.01	23%	7 Jun →
dust2	13–6	0.14	35%	7 Jun →
dust2	9–13	0.01	31%	5 Jun →
ancient	7–13	-0.02	13%	5 Jun →
ancient	13–9	-0.02	13%	3 Jun →
overpass	13–11	-0.01	26%	3 Jun →
dust2	13–11	0.02	23%	1 Jun →
mirage	10–13	-0.05	33%	1 Jun →
overpass	13–10	0.03	27%	1 Jun →
nuke	16–14	0.02	24%	30 May →
mirage	13–9	-0.01	27%	30 May →
overpass	16–12	0.02	21%	29 May →
mirage	8–13	-0.03	23%	29 May →
nuke	14–16	0.01	23%	29 May →
mirage	10–13	0.02	18%	28 May →
nuke	9–13	-0.01	29%	28 May →
mirage	2–13	-0.02	23%	28 May →
dust2	10–13	-0.04	19%	27 May →
mirage	13–4	0.11	20%	25 May →
dust2	13–7	0.04	40%	25 May →
dust2	8–13	0.01	19%	23 May →
dust2	13–6	-0.02	16%	21 May →
mirage	13–11	-0.05	25%	19 May →
overpass	13–8	0.02	23%	19 May →
inferno	13–10	-0.04	25%	14 Apr →
ancient	13–9	-0.03	19%	7 Apr →
mirage	1–13	-0.07	18%	7 Apr →
ancient	14–16	-0.04	22%	3 Apr →
mirage	9–13	-0.05	19%	3 Apr →
overpass	13–5	0.02	34%	2 Apr →
anubis	11–13	0.02	18%	2 Apr →
ancient	13–6	-0.06	28%	1 Apr →
overpass	10–13	-0.01	18%	1 Apr →
mirage	6–13	-0.04	11%	1 Apr →
nuke	13–8	0.00	30%	31 Mar →
overpass	13–2	0.03	25%	31 Mar →
overpass	13–8	0.07	31%	31 Mar →
inferno	13–8	0.02	44%	31 Mar →
nuke	13–2	-0.03	17%	24 Mar →
anubis	9–13	-0.06	14%	24 Mar →
mirage	10–13	-0.03	26%	24 Mar →
inferno	8–13	-0.04	23%	24 Mar →
mirage	13–6	-0.01	19%	24 Mar →
nuke	11–13	-0.01	23%	17 Mar →
ancient	13–11	-0.08	21%	15 Mar →
overpass	13–1	0.04	15%	15 Mar →
nuke	10–13	-0.07	23%	15 Mar →
anubis	9–13	-0.01	23%	15 Mar →
ancient	13–8	0.01	24%	15 Mar →
ancient	13–8	0.06	27%	14 Mar →
ancient	13–8	0.06	27%	14 Mar →
overpass	4–13	-0.01	17%	14 Mar →
mirage	13–6	0.03	22%	14 Mar →
ancient	3–13	0.09	37%	8 Mar →
ancient	16–13	-0.01	23%	8 Mar →
mirage	4–13	-0.06	13%	7 Mar →
ancient	8–13	-0.04	12%	7 Mar →
overpass	13–10	-0.03	29%	5 Mar →
inferno	8–13	-0.03	14%	5 Mar →
mirage	8–13	-0.03	16%	5 Mar →
mirage	13–16	-0.07	18%	5 Mar →
overpass	13–8	-0.02	30%	5 Mar →
ancient	16–14	-0.06	28%	5 Mar →
mirage	13–6	0.06	19%	4 Mar →
ancient	13–10	-0.02	23%	4 Mar →
mirage	17–19	-0.00	15%	4 Mar →