TinG^v^ — CS2 Stats

76561198446021566[U:1:485755838]Steam profile ↗✓ No bans

2,041Tracked matches83%Win rate2022Tracked since

CSDB Rating5.3 DevelopingSupport

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning42

Utility59

0–100 skill scores via Leetify.

Recent form

HOT72–24–4Last 10072%Win rateWWWWLWWWLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −1.4pp headshot accuracy · −47ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.01
Avg headshot accuracy 22%
Avg reaction 570ms

Last 10

8–2 · 80% win rate
Avg rating 0.01
Avg headshot accuracy 20%
Avg reaction 507ms

Last 20

16–4 · 80% win rate
Avg rating 0.00
Avg headshot accuracy 21%
Avg reaction 530ms

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 (+2.2 against its own average).

Aim6.4

Utility5.9

Positioning4.2

Opening Duels0.0

Clutch4.8

Strong 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.

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 Twistzz 82% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 38% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.4

Positioning4.2

Utility5.9

Mechanics3.5

Opening Duels1.0

Win Impact10.0

Composite 5.3/10 (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 time545ms−12ms

first ⅓ avg 557ms → last ⅓ avg 545ms

Headshot accuracy21.2%+1.5%

first ⅓ avg 19.7% → last ⅓ avg 21.2%

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.

Personal bests

0.11Best match rating · 13–5 · anubis, 13 Oct →

50%Best headshot accuracy · 0–2 · cache, 29 Aug →

375msFastest reaction time · 13–5 · cache, 11 Oct →

13–0Biggest win · anubis, 11 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak

W4Current streak

3–3In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 77% over 47cacheWeakest map · 57% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	47	36–11	77%	-0.00
anubis	S	19	13–6	68%	-0.00
ancient	A	8	5–3	63%	-0.02
inferno	S	8	6–2	75%	-0.01
cache	A	7	4–3	57%	-0.01
mirage	—	4	4–0	100%	-0.01
nuke	—	4	3–1	75%	0.01
vertigo	—	2	1–1	50%	-0.06
office	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Faceit stats

Combat

187Matches

60%Win rate

1.16Avg K/D

75.8ADR

42%Headshot %

Clutches & streaks

44%1v1 clutch win

31%1v2 clutch win

21Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	40	40%	1.16	14.9
Dust2	35	77%	1.08	13.1
Mirage	31	58%	1.14	13.7
Anubis	21	62%	1.30	15.7
Nuke	21	62%	1.04	15.6
Ancient	18	78%	1.43	16.9
Vertigo	16	50%	1.08	13.1
Overpass	3	33%	1.16	16.7

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

34.1%Accuracy (enemy spotted)

39.5%Spray accuracy

65.7%Counter-strafing

11.0°Preaim

546msReaction time

19.5%T opening success

38.2%CT opening success

0.50Enemies flashed / flash

7.9%Flash assists

4.78HE damage / grenade

15.73Flashes / 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 0.4969 — 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 19.5109% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–5	0.11	24%	13 Oct →
dust2	13–4	-0.01	24%	13 Oct →
cache	13–10	-0.00	24%	13 Oct →
dust2	13–7	0.03	21%	12 Oct →
ancient	8–13	-0.08	15%	12 Oct →
cache	13–5	0.01	24%	11 Oct →
inferno	13–10	-0.04	15%	11 Oct →
dust2	13–8	-0.02	20%	11 Oct →
dust2	10–13	-0.01	26%	11 Oct →
anubis	13–1	0.10	12%	11 Oct →
anubis	13–0	0.09	29%	11 Oct →
dust2	13–3	0.00	26%	10 Oct →
dust2	13–9	0.01	28%	10 Oct →
dust2	7–13	-0.08	23%	7 Oct →
dust2	13–9	-0.03	13%	7 Oct →
dust2	13–9	-0.02	5%	6 Oct →
dust2	13–10	-0.02	26%	6 Oct →
office	7–13	0.02	15%	5 Oct →
mirage	13–7	0.07	17%	5 Oct →
cache	13–2	-0.04	36%	5 Oct →
anubis	13–6	-0.02	21%	5 Oct →
inferno	9–13	0.00	21%	5 Oct →
anubis	13–3	0.00	18%	4 Oct →
dust2	13–10	0.02	26%	4 Oct →
ancient	12–12	-0.05	12%	4 Oct →
inferno	13–5	0.00	17%	4 Oct →
inferno	13–7	-0.04	11%	3 Oct →
nuke	13–7	0.08	23%	2 Oct →
cache	13–0	-0.04	14%	2 Oct →
anubis	13–7	0.01	39%	2 Oct →
mirage	13–7	-0.03	23%	2 Oct →
dust2	13–9	-0.04	25%	2 Oct →
inferno	13–7	-0.05	28%	2 Oct →
anubis	13–7	0.01	25%	1 Oct →
dust2	12–12	-0.02	24%	1 Oct →
dust2	13–3	0.06	44%	1 Oct →
nuke	11–13	-0.07	13%	1 Oct →
ancient	9–13	-0.03	11%	29 Sept →
anubis	13–7	-0.05	24%	28 Sept →
inferno	5–0	-0.03	13%	28 Sept →
dust2	13–3	-0.02	33%	28 Sept →
nuke	13–8	0.07	16%	28 Sept →
dust2	13–4	0.05	21%	25 Sept →
dust2	13–5	-0.00	14%	25 Sept →
dust2	13–10	0.05	20%	24 Sept →
dust2	10–13	-0.05	25%	24 Sept →
anubis	13–8	-0.01	18%	23 Sept →
dust2	13–10	-0.04	12%	23 Sept →
inferno	9–13	-0.02	16%	23 Sept →
vertigo	0–13	-0.10	33%	23 Sept →
dust2	13–7	0.08	27%	23 Sept →
dust2	13–7	0.01	24%	22 Sept →
anubis	3–13	-0.09	17%	22 Sept →
dust2	13–10	-0.04	20%	22 Sept →
dust2	9–13	-0.01	21%	20 Sept →
dust2	13–7	-0.04	35%	20 Sept →
anubis	9–13	-0.06	22%	9 Sept →
dust2	13–4	0.03	14%	9 Sept →
dust2	13–8	-0.01	15%	6 Sept →
ancient	13–7	0.06	19%	6 Sept →
dust2	12–12	-0.04	16%	6 Sept →
anubis	13–5	-0.05	18%	6 Sept →
dust2	1–13	0.01	23%	5 Sept →
dust2	13–6	-0.03	17%	5 Sept →
anubis	11–13	-0.04	10%	5 Sept →
dust2	13–4	0.01	16%	5 Sept →
mirage	13–11	-0.00	26%	5 Sept →
ancient	13–8	0.03	29%	5 Sept →
dust2	13–4	-0.01	15%	4 Sept →
dust2	13–3	0.08	17%	4 Sept →
cache	10–13	-0.00	19%	4 Sept →
dust2	3–13	-0.03	26%	3 Sept →
dust2	13–2	0.06	12%	3 Sept →
dust2	13–2	-0.02	24%	2 Sept →
dust2	3–13	-0.01	36%	2 Sept →
mirage	13–10	-0.08	10%	2 Sept →
anubis	3–13	-0.07	21%	1 Sept →
ancient	13–11	-0.01	19%	1 Sept →
dust2	13–3	0.05	21%	1 Sept →
dust2	13–6	-0.06	19%	1 Sept →
anubis	13–4	0.08	17%	30 Aug →
dust2	13–5	0.03	14%	30 Aug →
ancient	13–10	-0.05	16%	30 Aug →
anubis	13–7	-0.03	16%	30 Aug →
ancient	13–7	-0.02	15%	30 Aug →
dust2	1–13	-0.05	21%	30 Aug →
anubis	13–1	0.08	21%	30 Aug →
dust2	13–7	-0.04	19%	30 Aug →
nuke	9–7	-0.04	18%	29 Aug →
inferno	9–5	0.09	17%	29 Aug →
dust2	13–6	-0.01	24%	29 Aug →
anubis	7–13	-0.04	13%	29 Aug →
dust2	12–12	-0.03	18%	29 Aug →
cache	0–2	0.01	50%	29 Aug →
anubis	10–13	-0.04	12%	29 Aug →
cache	7–13	-0.05	11%	29 Aug →
dust2	13–5	0.02	19%	29 Aug →
dust2	13–4	0.01	23%	29 Aug →
dust2	13–4	0.02	26%	27 Aug →
vertigo	13–7	-0.02	14%	27 Aug →