ForTiN — CS2 Stats

76561197960849559[U:1:583831]

3,601Tracked matches69%Win rate2020Tracked since

CSDB Rating6.8 SolidPassive Rifler

Premier CS Rating28,364Top 5% of 819 CSDB-tracked playersRed band · top ~1.4% of ranked players (population est.)

CSDB Leaderboard#291 of 14962 tracked

FaceitLevel 9 · 2,152 ELOTop 20.7% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim74

Positioning47

Utility63

0–100 skill scores via Leetify.

Recent form

HOT60–38–2Last 10060%Win rateLWWWLWWLWW

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

Player DNA

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

Aim7.4

Aggression4.3

Utility6.3

Positioning4.7

Opening Duels1.2

Clutch3.0

Strong CT-side openerEffective flashes

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 91% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower aim 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

Areas to improve

T-side openings. Opening success drops from 55% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 575ms 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

Aim7.4

Positioning4.7

Utility6.3

Mechanics6.8

Opening Duels3.1

Win Impact10.0

Composite 6.8/10 (Solid), 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 time576ms−61ms

first ⅓ avg 637ms → last ⅓ avg 576ms

Headshot accuracy22.0%−1.6%

first ⅓ avg 23.5% → last ⅓ avg 22.0%

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

0.10Best rating — dust2 13–2

13–0Biggest win — mirage

5Longest win streak

7–10In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 80% over 5dust2Weakest map · 49% over 35

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	35	17–18	49%	-0.01
mirage	S	26	17–9	65%	-0.01
ancient	S	13	9–4	69%	-0.00
inferno	A	8	5–3	63%	0.02
nuke	A	7	4–3	57%	0.00
cache	S	5	4–1	80%	0.01
anubis	—	4	4–0	100%	0.02
train	—	1	0–1	0%	-0.02
overpass	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (49% over 35). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,587Matches

51%Win rate

1.05Avg K/D

79.6ADR

51%Headshot %

Clutches & streaks

35%1v1 clutch win

25%1v2 clutch win

14Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	198	53%	1.12	16.1
Anubis	133	53%	1.05	16.6
Mirage	101	50%	0.94	15.9
Dust2	100	52%	1.06	16.1
Vertigo	74	43%	0.99	15.7
Inferno	51	43%	1.00	15.7
Nuke	42	67%	1.16	15.9
Overpass	40	42%	0.96	15.4

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.

20.7%Headshot accuracy

33.4%Accuracy (enemy spotted)

39.3%Spray accuracy

80.7%Counter-strafing

9.9°Preaim

575msReaction time

15.2%T opening success

54.5%CT opening success

0.70Enemies flashed / flash

11.4%Flash assists

10.16HE damage / grenade

12.51Flashes / 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 15.1684% — 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.

49% win rate across 35 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	4–13	-0.09	13%	23 Aug →
ancient	13–9	0.07	15%	23 Aug →
mirage	13–1	0.07	25%	23 Aug →
dust2	13–11	0.02	33%	23 Aug →
nuke	7–13	-0.03	15%	22 Aug →
dust2	13–8	-0.00	15%	22 Aug →
mirage	13–10	-0.06	24%	22 Aug →
inferno	10–13	-0.01	32%	18 Aug →
mirage	13–4	0.05	21%	18 Aug →
mirage	13–2	-0.02	8%	18 Aug →
train	12–12	-0.02	19%	17 Aug →
mirage	19–17	-0.02	22%	10 Aug →
mirage	9–13	-0.07	16%	9 Aug →
anubis	13–4	-0.01	28%	9 Aug →
mirage	13–2	0.02	20%	9 Aug →
dust2	13–10	-0.02	17%	9 Aug →
dust2	7–13	-0.01	22%	9 Aug →
mirage	4–5	-0.02	22%	9 Aug →
inferno	13–6	0.05	19%	8 Aug →
dust2	13–7	-0.02	19%	8 Aug →
nuke	13–9	-0.05	14%	8 Aug →
dust2	13–11	0.00	22%	8 Aug →
mirage	13–8	-0.06	36%	8 Aug →
mirage	1–13	-0.07	31%	6 Aug →
ancient	11–13	-0.01	12%	6 Aug →
mirage	13–0	0.02	25%	6 Aug →
dust2	13–3	-0.03	25%	5 Aug →
inferno	13–6	0.03	13%	4 Aug →
inferno	13–8	0.02	27%	28 Jul →
dust2	8–13	-0.02	13%	27 Jul →
ancient	5–0	0.03	58%	27 Jul →
dust2	13–7	-0.07	21%	25 Jul →
dust2	11–13	-0.03	22%	19 Jul →
dust2	13–0	0.01	42%	18 Jul →
ancient	13–7	-0.02	23%	18 Jul →
nuke	13–16	-0.01	29%	18 Jul →
cache	13–7	0.01	17%	18 Jul →
mirage	16–13	-0.01	16%	18 Jul →
mirage	13–3	0.03	25%	18 Jul →
dust2	7–13	-0.03	23%	10 Jul →
inferno	13–5	0.03	31%	10 Jul →
ancient	13–2	-0.01	28%	28 Jun →
dust2	13–10	-0.04	13%	28 Jun →
dust2	10–13	-0.04	31%	15 Jun →
dust2	11–13	0.01	30%	13 Jun →
dust2	3–13	0.04	24%	13 Jun →
mirage	12–12	0.02	24%	9 Jun →
mirage	8–13	-0.04	17%	17 May →
nuke	13–5	0.04	16%	17 May →
cache	13–7	-0.04	25%	15 May →
dust2	11–13	-0.01	24%	15 May →
ancient	13–3	-0.03	10%	15 May →
ancient	13–6	0.06	30%	14 May →
dust2	13–3	0.04	22%	14 May →
anubis	3–0	0.04	100%	12 May →
mirage	13–3	0.04	36%	12 May →
dust2	7–13	-0.04	13%	10 May →
inferno	7–13	0.01	28%	5 May →
cache	13–2	0.07	26%	4 May →
mirage	6–13	-0.01	34%	2 May →
inferno	16–12	0.02	18%	2 May →
dust2	11–13	-0.04	15%	2 May →
mirage	13–11	0.01	23%	2 May →
ancient	13–10	-0.05	20%	2 May →
dust2	13–2	0.10	39%	2 May →
cache	8–13	0.05	27%	2 May →
inferno	11–13	0.01	18%	2 May →
ancient	6–13	-0.04	23%	2 May →
cache	16–14	-0.04	29%	22 Apr →
dust2	10–13	0.04	27%	19 Apr →
overpass	11–13	-0.03	22%	17 Apr →
mirage	5–13	-0.04	20%	17 Apr →
dust2	13–1	-0.01	17%	17 Apr →
anubis	13–6	0.02	24%	17 Apr →
dust2	3–13	-0.09	71%	17 Apr →
nuke	13–8	0.02	26%	17 Apr →
ancient	13–5	-0.00	29%	16 Apr →
nuke	9–13	0.01	24%	16 Apr →
dust2	13–6	0.07	26%	13 Apr →
mirage	13–8	-0.03	24%	13 Apr →
mirage	11–13	-0.04	19%	13 Apr →
dust2	13–5	-0.00	19%	6 Apr →
mirage	13–11	-0.03	27%	4 Apr →
dust2	5–13	-0.05	28%	4 Apr →
dust2	8–13	-0.05	31%	4 Apr →
mirage	13–4	0.03	17%	4 Apr →
dust2	2–13	-0.08	29%	23 Mar →
ancient	13–2	0.01	24%	23 Mar →
dust2	13–11	0.01	23%	15 Mar →
mirage	13–10	0.02	16%	15 Mar →
ancient	10–13	-0.03	15%	11 Mar →
dust2	13–5	0.02	17%	11 Mar →
anubis	13–8	0.05	32%	11 Mar →
dust2	3–13	-0.07	26%	11 Mar →
ancient	11–13	-0.02	20%	9 Mar →
dust2	13–2	-0.02	22%	9 Mar →
mirage	0–9	-0.10	0%	8 Mar →
mirage	13–6	0.04	20%	8 Mar →
dust2	10–13	-0.02	10%	3 Mar →
nuke	13–10	0.05	20%	3 Mar →