Tr4nto — CS2 Stats

DK76561198412939608[U:1:452673880]Steam profile ↗✓ No bans

2,443Tracked matches38%Win rate2020Tracked since

CSDB Rating5.0 DevelopingPassive Rifler

FaceitLevel 10 · 2,302 ELOTop 12.4% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim77

Positioning43

Utility49

0–100 skill scores via Leetify.

Recent form

COLD45–54–1Last 10045%Win rateLLLLLWLWWL

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

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim7.7

Aggression2.4

Utility4.9

Positioning4.3

Opening Duels0.4

Clutch3.8

Strong CT-side openerLimited utility dependence

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 NiKo 82% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower opening-fight frequency.

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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 39% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 602ms 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

Aim7.7

Positioning4.3

Utility4.9

Mechanics6.1

Opening Duels1.2

Win Impact1.0

Composite 5.0/10 (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-0.00−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time608ms+15ms

first ⅓ avg 593ms → last ⅓ avg 608ms

Headshot accuracy27.6%+3.0%

first ⅓ avg 24.6% → last ⅓ avg 27.6%

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 — vertigo 13–5

13–2Biggest win — inferno

9Longest win streak

L5Current streak

4–12In matches decided by ≤2 rounds

18Overtime games

Map breakdown

overpassBest map · 67% over 9dust2Weakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	25	11–14	44%	0.00
ancient	B	22	10–12	45%	-0.00
inferno	B	14	7–7	50%	0.00
dust2	D	10	3–7	30%	-0.02
mirage	C	9	4–5	44%	-0.00
overpass	S	9	6–3	67%	0.03
vertigo	—	4	3–1	75%	0.06
train	—	4	0–4	0%	-0.01
cache	—	2	0–2	0%	-0.06
anubis	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,297Matches

51%Win rate

1.04Avg K/D

80.7ADR

52%Headshot %

Clutches & streaks

39%1v1 clutch win

23%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	269	46%	1.04	16.6
Nuke	216	56%	1.14	16.4
Mirage	155	52%	1.09	15.8
Inferno	153	57%	1.05	16.3
Vertigo	123	59%	1.17	16.2
Dust2	119	48%	1.06	15.5
Overpass	80	51%	1.02	16.6
Anubis	70	36%	0.87	14.2

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.

26.9%Headshot accuracy

33.5%Accuracy (enemy spotted)

37.6%Spray accuracy

77.6%Counter-strafing

9.5°Preaim

602msReaction time

23.9%T opening success

39.4%CT opening success

0.66Enemies flashed / flash

8.4%Flash assists

5.71HE damage / grenade

4.75Flashes / 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 23.8753% — below the 40% mark we flag

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	12–16	-0.06	26%	27 Aug →
inferno	14–16	-0.05	25%	17 Aug →
cache	9–13	-0.08	37%	16 Aug →
ancient	10–13	-0.07	22%	31 Jul →
mirage	3–13	-0.10	8%	31 Jul →
anubis	13–8	0.06	33%	26 Jul →
mirage	4–13	0.00	23%	16 Jul →
inferno	13–10	0.10	17%	11 Jun →
inferno	13–2	0.08	39%	5 Jun →
nuke	7–13	-0.07	15%	25 May →
ancient	7–13	-0.05	28%	15 May →
cache	13–16	-0.04	27%	27 Apr →
ancient	13–7	-0.03	22%	19 Apr →
ancient	13–9	-0.02	30%	16 Apr →
nuke	7–13	-0.04	28%	11 Apr →
overpass	4–13	-0.03	35%	5 Mar →
nuke	13–8	0.05	27%	4 Mar →
nuke	15–15	0.03	37%	6 Feb →
overpass	13–10	0.10	35%	6 Feb →
overpass	13–7	-0.01	15%	20 Jan →
nuke	11–13	-0.04	32%	16 Jan →
dust2	6–13	-0.03	32%	12 Jan →
overpass	6–13	-0.03	26%	12 Jan →
overpass	13–4	0.10	26%	30 Dec →
nuke	17–19	-0.03	15%	24 Dec →
ancient	10–13	-0.02	28%	13 Dec →
ancient	11–13	-0.03	29%	10 Dec →
inferno	2–13	0.02	22%	7 Dec →
dust2	16–13	-0.05	26%	7 Dec →
mirage	13–7	-0.01	42%	3 Dec →
nuke	13–7	0.10	33%	2 Dec →
vertigo	13–9	0.09	27%	1 Dec →
overpass	13–6	0.10	41%	1 Dec →
nuke	13–10	-0.04	20%	29 Nov →
inferno	13–5	0.07	24%	21 Nov →
ancient	16–12	0.06	19%	15 Nov →
ancient	16–12	0.07	20%	12 Nov →
mirage	5–13	-0.00	23%	10 Nov →
ancient	11–13	0.01	28%	7 Nov →
nuke	8–13	0.03	25%	7 Nov →
dust2	2–8	0.07	18%	4 Nov →
overpass	13–8	0.00	25%	31 Oct →
inferno	11–13	0.00	33%	25 Oct →
ancient	13–9	0.00	19%	11 Sept →
nuke	6–13	-0.01	26%	17 Aug →
dust2	13–3	0.00	26%	17 Aug →
mirage	6–13	-0.05	26%	15 Aug →
nuke	11–13	-0.03	33%	11 Aug →
overpass	13–8	0.00	24%	10 Aug →
inferno	6–13	-0.01	16%	9 Aug →
inferno	16–14	0.01	25%	8 Aug →
mirage	11–7	0.02	36%	18 Jul →
overpass	6–13	-0.02	20%	16 Jul →
ancient	13–9	0.05	15%	15 Jul →
dust2	5–13	-0.09	21%	8 Jul →
inferno	9–7	-0.02	27%	6 Jul →
nuke	13–8	-0.01	13%	23 Jun →
ancient	13–16	0.00	15%	22 Jun →
ancient	13–9	-0.01	22%	20 Jun →
nuke	13–8	-0.00	14%	30 May →
nuke	1–13	0.01	21%	21 May →
inferno	9–13	-0.08	20%	12 May →
mirage	13–3	0.12	18%	9 May →
nuke	11–13	-0.02	10%	8 May →
dust2	13–3	0.06	22%	2 May →
ancient	13–9	-0.05	19%	21 Apr →
ancient	13–2	0.02	24%	21 Apr →
inferno	14–16	-0.04	18%	17 Mar →
ancient	11–13	0.06	38%	16 Feb →
vertigo	13–9	-0.01	23%	10 Jan →
ancient	13–5	0.01	25%	7 Jan →
mirage	13–6	0.02	24%	2 Jan →
ancient	16–19	-0.03	31%	2 Jan →
nuke	9–13	-0.05	11%	30 Dec →
ancient	16–19	-0.01	30%	30 Dec →
mirage	13–16	-0.01	25%	27 Dec →
train	10–13	-0.01	14%	26 Dec →
train	6–13	0.05	28%	9 Dec →
train	2–13	-0.09	33%	7 Dec →
nuke	8–13	0.01	30%	4 Dec →
vertigo	14–16	0.03	30%	3 Dec →
train	10–13	0.01	33%	1 Dec →
nuke	13–11	0.02	26%	28 Nov →
nuke	16–14	0.01	18%	28 Nov →
inferno	7–13	-0.05	26%	15 Nov →
inferno	13–8	0.02	30%	15 Nov →
ancient	7–13	-0.05	26%	31 Oct →
nuke	13–10	0.04	30%	31 Oct →
ancient	7–13	-0.02	17%	27 Oct →
inferno	13–9	-0.02	22%	15 Oct →
ancient	11–13	0.03	20%	15 Oct →
nuke	16–12	0.04	19%	15 Oct →
dust2	6–13	-0.01	28%	12 Oct →
nuke	10–13	-0.06	10%	10 Oct →
dust2	10–13	-0.04	24%	9 Oct →
nuke	13–16	-0.06	20%	4 Oct →
nuke	13–5	0.05	14%	30 Sept →
dust2	6–13	-0.06	20%	30 Sept →
vertigo	13–5	0.12	44%	28 Sept →
nuke	13–4	0.07	25%	26 Sept →