Tommy — CS2 Stats

FI76561198174952027[U:1:214686299]Steam profile ↗✓ No bans

1,797Tracked matches57%Win rate2020Tracked since

4,083Hours in CS

CSDB Rating7.9 StrongAggressive Rifler

WingmanSupreme Master First Class

Ladder ranks via Leetify

Performance scores

Aim93

Positioning68

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY54–40–6Last 10054%Win rateLLLLWWWLWL

Last 10 vs previous 10: -40pp win rate · -0.01 avg rating

Player DNA

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

Aim9.3

Aggression8.5

Utility6.8

Positioning6.8

Opening Duels4.2

Clutch5.6

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 device 96% playstyle similarity

Most alike: opening-duel success, 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 93 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 55% on CT to 39% 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

Positioning6.8

Utility6.8

Mechanics8.0

Opening Duels4.2

Win Impact7.2

Composite 7.9/10 (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 rating0.03−0.04

first ⅓ avg 0.07 → last ⅓ avg 0.03

Reaction time482ms−46ms

first ⅓ avg 529ms → last ⅓ avg 482ms

Headshot accuracy22.8%+0.3%

first ⅓ avg 22.5% → last ⅓ avg 22.8%

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

0.23Best rating — ancient 2–1

13–0Biggest win — cache

4Longest win streak

L4Current streak

10–8In matches decided by ≤2 rounds

4Overtime games

Map breakdown

mirageBest map · 65% over 17anubisWeakest map · 11% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	20	12–8	60%	0.06
mirage	S	17	11–6	65%	0.03
ancient	A	16	10–6	63%	0.07
cache	A	16	9–7	56%	0.08
nuke	A	11	7–4	64%	0.03
anubis	D	9	1–8	11%	0.04
inferno	D	5	1–4	20%	0.05
train	—	2	1–1	50%	0.02
shelter	—	1	1–0	100%	0.14
vertigo	—	1	0–1	0%	0.06
overpass	—	1	0–1	0%	0.07
alpine	—	1	1–0	100%	0.13

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

223,333Lifetime kills

1.32K/D · Top 10% of tracked players

12,277Matches

63.7%Match win rate · Top 5% of tracked players

45.7%Headshot % · Top 50% of tracked players

16.7%Shot accuracy · Top 25% of tracked players

30,162MVPs

4,083Hours (in match)

8,956Bombs planted

2,868Bombs defused

Most-used weapons

AK-4778,482

AWP32,678

M4A4 / M4A1-S30,995

Desert Eagle12,826

P2000 / USP-S11,831

Glock-186,538

Knife4,465

SSG 084,200

P2504,184

Galil AR3,376

Lifetime map wins

14,208dust2

10,944nuke

9,013inferno

5,244train

3,087vertigo

796cbble

747lake

288office

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

Faceit stats

Combat

1,099Matches

60%Win rate

1.41Avg K/D

85.4ADR

46%Headshot %

Clutches & streaks

48%1v1 clutch win

25%1v2 clutch win

12Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	102	61%	1.38	16.2
Anubis	95	59%	1.37	16.0
Ancient	67	69%	1.43	18.2
Mirage	52	50%	1.25	16.8
Inferno	32	62%	1.17	16.7
Train	18	67%	1.44	19.2
Overpass	18	94%	1.25	16.2
Dust2	10	60%	1.73	17.0

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.

21.5%Headshot accuracy

39.8%Accuracy (enemy spotted)

45.4%Spray accuracy

86.2%Counter-strafing

8.8°Preaim

483msReaction time

38.7%T opening success

54.9%CT opening success

0.65Enemies flashed / flash

12.2%Flash assists

6.49HE damage / grenade

9.97Flashes / 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 38.6806% — 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.

11% win rate across 9 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
dust2	5–13	0.10	21%	23 Aug →
anubis	7–13	0.06	17%	22 Aug →
mirage	10–13	0.06	15%	22 Aug →
anubis	7–13	-0.05	20%	21 Aug →
nuke	13–5	0.06	21%	21 Aug →
ancient	16–13	0.00	14%	21 Aug →
dust2	13–8	0.01	26%	16 Aug →
mirage	8–13	-0.03	21%	16 Aug →
nuke	13–5	0.06	45%	16 Aug →
ancient	8–13	-0.05	21%	14 Aug →
mirage	13–10	0.05	26%	14 Aug →
dust2	13–7	0.03	24%	14 Aug →
ancient	13–9	0.03	30%	4 Aug →
anubis	6–13	-0.01	7%	19 Jul →
nuke	13–3	0.08	13%	19 Jul →
mirage	13–8	0.01	23%	18 Jul →
cache	7–13	-0.00	14%	18 Jul →
dust2	13–8	0.01	22%	18 Jul →
shelter	13–9	0.14	24%	18 Jul →
cache	13–6	0.03	9%	18 Jul →
mirage	13–10	-0.01	25%	11 Jul →
inferno	3–6	-0.03	25%	11 Jul →
dust2	13–2	0.00	27%	11 Jul →
train	13–8	0.08	35%	7 Jul →
anubis	9–13	0.06	21%	5 Jul →
nuke	13–11	0.01	20%	5 Jul →
mirage	3–7	0.00	24%	5 Jul →
nuke	1–13	-0.08	43%	3 Jul →
dust2	11–13	0.00	13%	3 Jul →
ancient	13–7	0.07	21%	3 Jul →
ancient	13–6	0.12	27%	3 Jul →
cache	11–13	0.05	30%	2 Jul →
dust2	13–11	0.02	27%	1 Jul →
mirage	13–11	-0.02	15%	24 Jun →
nuke	13–9	0.02	20%	24 Jun →
anubis	14–16	0.03	23%	24 Jun →
mirage	13–4	0.07	28%	23 Jun →
anubis	6–13	0.03	22%	23 Jun →
dust2	2–13	-0.00	18%	23 Jun →
dust2	13–9	0.04	23%	18 Jun →
mirage	2–0	0.00	0%	18 Jun →
ancient	2–1	0.23	71%	18 Jun →
dust2	12–12	0.15	30%	18 Jun →
dust2	6–13	0.02	30%	17 Jun →
anubis	13–7	0.05	25%	15 Jun →
cache	12–12	0.08	22%	14 Jun →
mirage	5–13	0.05	33%	14 Jun →
cache	13–8	0.06	16%	9 Jun →
ancient	13–6	0.17	22%	9 Jun →
dust2	10–13	0.09	27%	8 Jun →
ancient	5–13	-0.01	25%	31 May →
cache	13–10	0.11	28%	31 May →
cache	13–6	0.10	16%	27 May →
cache	13–0	0.19	23%	26 May →
dust2	11–13	0.08	28%	23 May →
cache	13–3	0.10	39%	21 May →
mirage	13–8	0.02	17%	16 May →
dust2	13–8	0.06	16%	16 May →
nuke	13–9	0.06	30%	16 May →
cache	10–13	0.02	30%	5 May →
cache	13–11	0.19	27%	5 May →
nuke	3–13	0.01	28%	3 May →
cache	6–13	0.04	13%	3 May →
cache	13–4	0.03	18%	3 May →
cache	9–13	0.16	27%	1 May →
cache	4–13	0.08	40%	1 May →
cache	13–9	0.08	27%	29 Apr →
anubis	10–13	0.08	19%	23 Apr →
dust2	11–13	0.08	20%	23 Apr →
inferno	12–12	0.07	26%	23 Apr →
anubis	12–12	0.07	30%	22 Apr →
mirage	12–12	0.13	29%	17 Apr →
dust2	13–3	0.22	29%	15 Apr →
nuke	13–8	0.10	26%	14 Apr →
ancient	11–13	0.10	22%	14 Apr →
dust2	13–11	0.08	27%	13 Apr →
ancient	2–13	0.05	11%	5 Apr →
dust2	13–4	0.06	20%	2 Apr →
ancient	13–1	0.16	32%	30 Mar →
vertigo	11–13	0.06	24%	30 Mar →
dust2	13–11	0.19	23%	30 Mar →
dust2	13–5	-0.00	19%	27 Mar →
ancient	13–8	0.16	18%	25 Mar →
ancient	10–13	0.03	17%	21 Mar →
inferno	5–13	0.01	23%	21 Mar →
mirage	13–11	0.02	12%	21 Mar →
ancient	13–3	0.09	22%	21 Mar →
nuke	1–9	-0.06	29%	21 Mar →
inferno	9–1	0.22	31%	21 Mar →
train	5–13	-0.03	33%	19 Mar →
mirage	13–9	0.09	25%	18 Mar →
nuke	8–13	0.08	26%	18 Mar →
ancient	14–16	-0.03	10%	17 Mar →
inferno	9–13	-0.03	23%	17 Mar →
ancient	13–3	0.04	18%	17 Mar →
overpass	8–13	0.07	24%	13 Mar →
alpine	13–10	0.13	23%	11 Mar →
mirage	13–11	0.09	22%	10 Mar →
mirage	13–10	0.04	16%	7 Mar →
mirage	15–15	-0.04	10%	7 Mar →