TompaCo — CS2 Stats

76561197965548532[U:1:5282804]Steam profile ↗✓ No bans

1,754Tracked matches43%Win rate2020Tracked since

CSDB Rating5.1 DevelopingSupport

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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Performance scores

Aim73

Positioning47

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY56–43–1Last 10056%Win rateLWWLWLWLWL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +1.3pp headshot accuracy · −31ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating -0.03
Avg headshot accuracy 18%
Avg reaction 562ms

Last 10

5–5 · 50% win rate
Avg rating -0.03
Avg headshot accuracy 17%
Avg reaction 552ms

Last 20

8–12 · 40% win rate
Avg rating -0.03
Avg headshot accuracy 16%
Avg reaction 567ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1 against its own average).

Aim7.3

Utility4.9

Positioning4.7

Opening Duels1.5

Clutch4.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like device 92% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower 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

Areas to improve

Reaction time. 567ms 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

Aim7.3

Positioning4.7

Utility4.9

Mechanics4.9

Opening Duels1.7

Win Impact2.8

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.02

Reaction time581ms−52ms

first ⅓ avg 633ms → last ⅓ avg 581ms

Headshot accuracy14.4%−1.7%

first ⅓ avg 16.1% → last ⅓ avg 14.4%

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.

Personal bests

0.11Best match rating · 13–6 · mirage, 16 Mar →

40%Best headshot accuracy · 2–2 · cache, 22 May →

438msFastest reaction time · 11–13 · cache, 15 Aug →

13–2Biggest win · inferno, 16 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak

10–6In matches decided by ≤2 rounds

14Overtime games

Map breakdown

overpassBest map · 88% over 8mirageWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
anubis	A	20	12–8	60%	0.00
ancient	B	17	9–8	53%	-0.01
nuke	C	17	7–10	41%	-0.02
inferno	B	17	9–8	53%	-0.01
cache	S	10	7–3	70%	-0.00
overpass	S	8	7–1	88%	0.02
mirage	D	6	2–4	33%	-0.03
dust2	—	3	2–1	67%	0.03
train	—	1	1–0	100%	0.01
cache_b	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,162Matches

49%Win rate

1.00Avg K/D

79.0ADR

43%Headshot %

Clutches & streaks

42%1v1 clutch win

21%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	176	52%	1.06	16.5
Anubis	170	43%	0.97	14.9
Inferno	146	51%	0.99	15.0
Mirage	116	50%	1.09	15.9
Nuke	100	52%	1.11	15.9
Dust2	88	50%	0.98	15.2
Vertigo	34	38%	0.98	14.2
Overpass	30	67%	1.13	15.5

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.

14.4%Headshot accuracy

37.2%Accuracy (enemy spotted)

40.7%Spray accuracy

72.0%Counter-strafing

8.1°Preaim

567msReaction time

35.6%T opening success

38.2%CT opening success

0.48Enemies flashed / flash

3.6%Flash assists

11.74HE damage / grenade

5.84Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.4365% — below the 15% mark we flag
Aim Training →
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 0.484 — 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 35.6286% — below the 40% mark we flag

Spend your practice time on Mirage

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	14–16	-0.04	12%	19 Sept →
anubis	13–9	-0.03	5%	19 Sept →
ancient	13–10	0.01	23%	19 Sept →
nuke	5–13	-0.04	31%	19 Sept →
anubis	13–6	-0.02	18%	19 Sept →
inferno	9–13	-0.02	12%	19 Sept →
inferno	13–11	0.00	19%	17 Sept →
nuke	13–16	-0.09	9%	17 Sept →
anubis	13–11	-0.05	20%	17 Sept →
dust2	13–16	-0.01	20%	3 Sept →
anubis	16–19	0.01	15%	26 Aug →
cache	4–13	-0.06	12%	26 Aug →
nuke	10–13	0.01	24%	26 Aug →
nuke	10–13	-0.03	13%	24 Aug →
cache	13–10	-0.01	20%	24 Aug →
nuke	13–9	0.00	17%	24 Aug →
cache	11–13	0.01	17%	15 Aug →
anubis	13–9	0.05	16%	3 Aug →
mirage	3–13	-0.13	10%	21 Jul →
inferno	5–13	-0.10	12%	10 Jul →
anubis	13–11	0.01	13%	10 Jul →
ancient	13–8	-0.03	4%	10 Jul →
anubis	5–13	-0.01	6%	8 Jul →
nuke	9–13	-0.02	15%	8 Jul →
dust2	16–13	0.05	12%	7 Jul →
anubis	10–13	-0.03	15%	7 Jul →
mirage	9–13	-0.03	8%	7 Jul →
cache	13–10	-0.02	16%	7 Jul →
inferno	6–13	0.02	10%	7 Jul →
anubis	16–13	-0.04	10%	6 Jul →
inferno	13–2	0.04	17%	16 Jun →
nuke	11–13	-0.04	11%	16 Jun →
ancient	13–11	0.05	16%	16 Jun →
inferno	19–16	-0.03	10%	12 Jun →
cache	13–3	0.02	31%	10 Jun →
overpass	4–13	-0.05	9%	10 Jun →
ancient	13–6	0.11	13%	10 Jun →
inferno	10–13	-0.00	23%	9 Jun →
ancient	13–9	-0.03	13%	3 Jun →
anubis	2–13	-0.05	12%	3 Jun →
nuke	9–13	-0.01	12%	3 Jun →
ancient	11–13	-0.01	4%	1 Jun →
inferno	8–13	-0.09	29%	1 Jun →
inferno	13–10	0.01	6%	1 Jun →
nuke	3–13	-0.02	14%	1 Jun →
cache	13–9	0.03	13%	1 Jun →
anubis	9–13	-0.05	18%	1 Jun →
ancient	6–13	-0.04	14%	29 May →
overpass	13–9	0.09	14%	29 May →
nuke	13–2	0.03	13%	29 May →
ancient	13–16	-0.03	17%	29 May →
nuke	13–16	-0.03	15%	26 May →
cache	13–6	0.03	29%	26 May →
anubis	13–11	0.01	22%	25 May →
inferno	13–11	0.00	9%	23 May →
nuke	13–10	0.02	15%	22 May →
overpass	13–6	0.04	25%	22 May →
cache	2–2	-0.04	40%	22 May →
ancient	25–22	0.01	16%	22 May →
inferno	13–5	-0.01	11%	21 May →
anubis	13–4	0.06	19%	15 May →
cache	16–14	0.03	34%	15 May →
overpass	13–11	0.03	21%	14 May →
ancient	13–8	0.02	12%	14 May →
inferno	3–13	-0.10	13%	13 May →
anubis	13–8	0.03	12%	13 May →
ancient	12–16	-0.02	12%	13 May →
anubis	5–13	-0.02	16%	8 May →
nuke	13–6	0.02	23%	7 May →
anubis	13–4	0.07	19%	7 May →
ancient	10–13	-0.07	11%	5 May →
inferno	13–5	-0.01	6%	5 May →
cache	13–9	0.01	15%	5 May →
anubis	10–13	-0.02	9%	28 Apr →
nuke	13–9	-0.02	10%	28 Apr →
overpass	16–14	-0.00	16%	28 Apr →
anubis	9–13	-0.02	21%	21 Mar →
inferno	13–8	0.07	14%	21 Mar →
inferno	10–13	0.03	21%	20 Mar →
overpass	13–7	-0.00	19%	20 Mar →
ancient	13–8	0.04	13%	20 Mar →
nuke	13–4	-0.02	10%	19 Mar →
mirage	11–13	-0.04	18%	18 Mar →
ancient	10–13	-0.08	11%	17 Mar →
overpass	13–10	-0.01	13%	17 Mar →
anubis	13–6	0.09	23%	17 Mar →
inferno	13–9	-0.02	30%	16 Mar →
anubis	13–7	0.00	17%	16 Mar →
nuke	13–7	0.00	24%	16 Mar →
inferno	11–13	-0.00	20%	16 Mar →
dust2	13–11	0.05	21%	16 Mar →
ancient	6–13	-0.03	18%	16 Mar →
mirage	13–6	0.11	21%	16 Mar →
mirage	10–13	-0.05	11%	15 Mar →
nuke	7–13	-0.06	15%	15 Mar →
mirage	13–7	-0.03	6%	14 Mar →
overpass	16–13	0.03	10%	14 Mar →
ancient	13–6	0.03	23%	14 Mar →
train	13–10	0.01	14%	14 Mar →
cache_b	8–13	-0.04	13%	14 Mar →