CTAC — CS2 Stats

76561197996297874[U:1:36032146]Steam profile ↗✓ No bans

386Tracked matches59%Win rate2020Tracked since

3,463Hours in CS

CSDB Rating7.9 StrongEntry Fragger

Premier CS Rating27,427Top 5% of 29,473 CSDB-tracked playersRed band · top ~1.8% of ranked players (population est.)

CSDB Leaderboard#1114 of 39193 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	41.7%	51.9%
Shot accuracy	17.1%	13.7%
Kill/death ratio	1.08	1.08
Match win rate	48.2%	48.7%

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Performance scores

Aim89

Positioning70

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY57–36–7Last 10057%Win rateWLWLLLWWWL

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

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim8.9

Aggression10.0

Utility4.8

Positioning7.0

Opening Duels6.9

Sharp aimer

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 s1mple 92% playstyle similarity

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

Where you differ: lower 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 89 — the mechanical foundation is a clear strength.

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.9

Positioning7.0

Utility4.8

Mechanics8.3

Opening Duels6.9

Win Impact8.1

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 rating0.02−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time480ms−61ms

first ⅓ avg 541ms → last ⅓ avg 480ms

Headshot accuracy18.2%−2.6%

first ⅓ avg 20.8% → last ⅓ avg 18.2%

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

0.15Best rating — dust2 13–7

13–1Biggest win — cache

5Longest win streak

15–6In matches decided by ≤2 rounds

14Overtime games

Map breakdown

cacheBest map · 80% over 20ancientWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	25	12–13	48%	0.03
cache	S	20	16–4	80%	0.04
inferno	A	19	11–8	58%	0.03
dust2	B	16	8–8	50%	0.02
ancient	D	10	3–7	30%	0.00
nuke	S	9	6–3	67%	0.03
anubis	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

190,507Lifetime kills

1.08K/D · Top 50% of Level 10 players

5,443Matches

48.2%Match win rate

41.7%Headshot %

17.1%Shot accuracy · Top 25% of Level 10 players

16,590MVPs

3,463Hours (in match)

6,822Bombs planted

2,909Bombs defused

Most-used weapons

AK-4754,209

AWP42,779

M4A4 / M4A1-S27,581

P2000 / USP-S14,591

Desert Eagle9,899

P2508,503

Glock-186,385

Tec-92,854

Knife2,231

Five-SeveN2,214

Lifetime map wins

16,385dust2

12,057inferno

4,066nuke

2,891cbble

2,389train

414vertigo

193office

75italy

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

Faceit stats

Combat

300Matches

56%Win rate

1.44Avg K/D

—ADR

36%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

14Longest win streak

Recent Faceit resultsWLWWW

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.

18.2%Headshot accuracy

38.4%Accuracy (enemy spotted)

39.5%Spray accuracy

87.2%Counter-strafing

8.4°Preaim

490msReaction time

54.9%T opening success

60.3%CT opening success

0.46Enemies flashed / flash

5.9%Flash assists

12.22HE damage / grenade

9.57Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4601 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Ancient

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–4	0.02	13%	28 Aug →
ancient	5–13	-0.05	11%	28 Aug →
cache	13–1	0.02	15%	28 Aug →
mirage	7–13	0.05	17%	28 Aug →
mirage	7–13	0.00	19%	28 Aug →
dust2	2–13	-0.05	7%	28 Aug →
dust2	13–7	0.02	16%	27 Aug →
cache	13–9	-0.01	18%	27 Aug →
cache	13–10	0.03	18%	27 Aug →
mirage	11–13	-0.01	15%	27 Aug →
ancient	3–13	-0.09	5%	26 Aug →
cache	13–8	0.01	19%	26 Aug →
mirage	5–13	0.05	20%	26 Aug →
dust2	13–2	0.12	20%	26 Aug →
inferno	13–10	0.03	20%	26 Aug →
cache	15–15	-0.01	18%	26 Aug →
inferno	13–7	0.03	17%	25 Aug →
ancient	15–15	0.01	21%	25 Aug →
mirage	13–7	0.02	11%	25 Aug →
inferno	13–8	0.02	24%	24 Aug →
dust2	13–9	0.03	23%	24 Aug →
nuke	13–11	0.02	28%	24 Aug →
inferno	16–14	0.04	20%	21 Aug →
ancient	7–13	0.04	11%	21 Aug →
cache	15–15	0.03	16%	21 Aug →
dust2	8–13	-0.04	26%	21 Aug →
cache	13–9	0.01	19%	20 Aug →
inferno	7–13	-0.01	19%	20 Aug →
nuke	13–6	0.07	25%	20 Aug →
ancient	8–13	-0.04	28%	20 Aug →
ancient	13–4	0.05	21%	19 Aug →
nuke	13–4	0.07	24%	19 Aug →
cache	13–4	0.08	20%	19 Aug →
mirage	9–13	0.09	17%	19 Aug →
dust2	13–7	0.15	28%	19 Aug →
mirage	9–13	0.07	18%	19 Aug →
dust2	10–13	0.04	10%	18 Aug →
mirage	13–2	0.01	33%	18 Aug →
inferno	9–13	0.06	34%	18 Aug →
ancient	13–5	0.00	16%	15 Aug →
mirage	13–11	0.01	28%	15 Aug →
dust2	13–11	-0.01	21%	15 Aug →
mirage	13–16	0.01	6%	13 Aug →
inferno	13–10	0.01	30%	13 Aug →
inferno	13–2	0.09	22%	12 Aug →
ancient	13–3	0.00	17%	12 Aug →
mirage	13–10	0.10	13%	12 Aug →
inferno	10–13	-0.04	21%	11 Aug →
inferno	5–13	-0.01	11%	11 Aug →
nuke	15–15	-0.04	15%	11 Aug →
dust2	13–2	0.09	27%	10 Aug →
ancient	5–13	0.02	17%	7 Aug →
mirage	13–6	0.05	18%	6 Aug →
inferno	13–3	0.08	24%	6 Aug →
nuke	13–11	0.01	15%	5 Aug →
mirage	13–11	0.08	17%	5 Aug →
mirage	7–13	-0.03	24%	3 Aug →
cache	9–13	0.06	16%	3 Aug →
anubis	13–9	0.00	6%	30 Jul →
nuke	13–9	0.01	8%	30 Jul →
cache	16–14	0.03	18%	29 Jul →
nuke	11–13	-0.00	11%	29 Jul →
dust2	11–13	-0.01	14%	29 Jul →
mirage	15–15	0.02	26%	28 Jul →
dust2	13–8	-0.06	16%	27 Jul →
dust2	10–13	0.05	16%	24 Jul →
inferno	11–13	-0.02	41%	24 Jul →
cache	13–11	0.09	27%	24 Jul →
mirage	7–13	0.03	29%	23 Jul →
inferno	15–15	0.02	14%	23 Jul →
cache	13–11	0.01	14%	23 Jul →
dust2	15–15	-0.00	15%	23 Jul →
mirage	8–13	0.01	17%	22 Jul →
dust2	13–11	0.03	18%	22 Jul →
mirage	13–6	0.05	23%	21 Jul →
inferno	13–10	0.08	17%	21 Jul →
mirage	13–8	0.01	21%	20 Jul →
nuke	10–13	0.09	24%	17 Jul →
cache	5–0	-0.03	8%	17 Jul →
inferno	9–13	0.00	31%	16 Jul →
ancient	11–13	0.08	16%	16 Jul →
mirage	13–3	-0.03	25%	16 Jul →
inferno	13–10	0.12	27%	14 Jul →
mirage	14–12	-0.01	33%	14 Jul →
dust2	5–13	-0.03	24%	13 Jul →
inferno	16–14	-0.01	14%	13 Jul →
nuke	16–14	0.07	21%	13 Jul →
mirage	6–13	0.04	18%	13 Jul →
mirage	16–12	0.05	22%	11 Jul →
cache	13–11	0.02	14%	11 Jul →
mirage	13–10	0.02	17%	11 Jul →
cache	13–10	0.09	21%	11 Jul →
mirage	11–13	0.01	16%	11 Jul →
inferno	10–13	-0.06	18%	9 Jul →
cache	13–11	0.03	28%	9 Jul →
cache	13–2	0.09	28%	9 Jul →
cache	3–13	0.00	24%	9 Jul →
inferno	13–9	0.13	25%	8 Jul →
cache	13–2	0.12	22%	8 Jul →
dust2	8–13	0.04	15%	8 Jul →