TiggBiddies — CS2 Stats

76561199114800053[U:1:1154534325]Steam profile ↗✓ No bans

727Tracked matches33%Win rate2023Tracked since

CSDB Rating3.3 Learning

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim31

Positioning48

Utility23

0–100 skill scores via Leetify.

Recent form

COLD45–53–2Last 10045%Win rateLLLLWWWLLL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Aim3.1

Aggression5.9

Utility2.3

Positioning4.8

Opening Duels3.0

Clutch3.0

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 Twistzz 74% playstyle similarity

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

Where you differ: lower utility contribution; 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

Reaction time. 693ms 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

Aim3.1

Positioning4.8

Utility2.3

Mechanics5.3

Opening Duels3.0

Win Impact0.0

Composite 3.3/10 (Learning), 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-0.03−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time689ms−23ms

first ⅓ avg 711ms → last ⅓ avg 689ms

Headshot accuracy14.6%−1.8%

first ⅓ avg 16.4% → last ⅓ avg 14.6%

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

0.13Best rating — mirage 11–0

13–2Biggest win — overpass

4Longest win streak

L4Current streak

11–5In matches decided by ≤2 rounds

8Overtime games

Map breakdown

mirageBest map · 69% over 16ancientWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
inferno	D	17	5–12	29%	-0.01
mirage	S	16	11–5	69%	-0.00
nuke	B	15	8–7	53%	-0.01
ancient	D	10	2–8	20%	-0.04
anubis	A	8	5–3	63%	-0.03
train	C	8	3–5	38%	-0.03
dust2	D	7	2–5	29%	0.00
overpass	B	6	3–3	50%	-0.04
cache	C	5	2–3	40%	-0.03
vertigo	—	4	2–2	50%	0.01
office	—	2	0–2	0%	0.03
italy	—	1	1–0	100%	0.01
basalt	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

86Matches

42%Win rate

0.92Avg K/D

71.4ADR

49%Headshot %

Clutches & streaks

35%1v1 clutch win

17%1v2 clutch win

4Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	24	46%	0.90	13.6
Inferno	19	42%	0.94	13.4
Dust2	16	50%	0.80	13.3
Nuke	9	11%	0.87	13.7
Ancient	7	29%	0.92	16.4
Anubis	6	50%	1.18	13.8
Train	5	60%	1.20	12.6

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.

14.6%Headshot accuracy

29.1%Accuracy (enemy spotted)

27.3%Spray accuracy

73.9%Counter-strafing

11.2°Preaim

693msReaction time

35.9%T opening success

47.8%CT opening success

0.44Enemies flashed / flash

4.0%Flash assists

6.12HE damage / grenade

2.87Flashes / 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 14.6014% — 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 0.4446 — 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 35.8642% — below the 40% mark we flag

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.

20% 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
ancient	8–13	-0.06	9%	22 Aug →
cache	4–13	-0.05	24%	22 Aug →
cache	14–16	-0.05	24%	2 Aug →
nuke	7–13	-0.07	15%	31 Jul →
anubis	13–11	-0.06	22%	26 Jul →
mirage	13–11	-0.03	19%	25 Jul →
cache	13–3	0.01	21%	10 Jul →
mirage	8–13	-0.05	10%	5 Jul →
anubis	14–16	-0.05	7%	5 Jul →
ancient	11–13	-0.02	14%	28 Jun →
overpass	13–6	-0.02	15%	28 Jun →
anubis	13–9	-0.06	13%	26 Jun →
anubis	13–5	-0.04	3%	21 Jun →
dust2	9–13	-0.05	20%	21 Jun →
cache	6–13	-0.04	15%	16 Jun →
inferno	8–13	-0.07	19%	14 Jun →
mirage	13–6	-0.02	14%	13 Jun →
overpass	9–13	-0.06	6%	7 Jun →
cache	13–7	-0.05	11%	18 May →
vertigo	6–13	-0.01	11%	12 Apr →
mirage	13–7	0.12	25%	12 Apr →
nuke	3–13	0.01	19%	11 Mar →
office	4–13	-0.00	18%	11 Mar →
inferno	4–13	0.01	8%	7 Mar →
anubis	7–13	-0.08	3%	7 Mar →
nuke	1–13	-0.07	7%	7 Mar →
mirage	9–13	-0.04	13%	25 Feb →
dust2	16–14	-0.01	14%	25 Feb →
nuke	3–13	-0.04	18%	15 Feb →
inferno	6–13	0.09	20%	15 Feb →
vertigo	13–4	-0.03	8%	15 Feb →
ancient	9–13	-0.01	19%	15 Feb →
ancient	6–13	-0.04	18%	10 Feb →
nuke	13–4	-0.02	12%	10 Feb →
anubis	13–11	0.05	10%	7 Feb →
ancient	7–13	-0.04	12%	7 Feb →
mirage	4–13	-0.02	11%	1 Feb →
mirage	16–14	-0.01	19%	1 Feb →
vertigo	12–12	0.05	13%	1 Feb →
overpass	13–2	-0.02	9%	1 Feb →
overpass	9–13	-0.09	28%	31 Jan →
inferno	9–13	-0.01	21%	28 Jan →
office	7–13	0.06	15%	27 Jan →
inferno	7–13	-0.01	8%	18 Jan →
train	13–8	-0.07	23%	5 Jan →
mirage	13–3	-0.04	4%	3 Jan →
inferno	16–14	-0.06	17%	29 Dec →
nuke	13–10	-0.00	14%	29 Dec →
ancient	7–13	-0.10	18%	29 Dec →
dust2	10–13	0.08	19%	15 Dec →
ancient	1–13	-0.10	17%	14 Dec →
dust2	2–13	0.03	31%	13 Dec →
mirage	13–11	-0.04	23%	10 Dec →
nuke	6–13	-0.00	19%	10 Dec →
mirage	13–10	0.05	16%	9 Dec →
ancient	13–10	0.00	18%	8 Dec →
nuke	13–6	0.00	11%	12 Nov →
inferno	8–13	-0.03	10%	10 Nov →
dust2	13–11	0.03	24%	9 Nov →
nuke	5–13	-0.09	30%	8 Nov →
train	11–13	0.03	21%	8 Nov →
overpass	13–6	0.01	19%	8 Nov →
train	10–13	-0.07	18%	4 Nov →
inferno	4–13	-0.04	12%	11 Jul →
train	10–13	-0.01	12%	29 Mar →
anubis	13–11	0.03	19%	29 Mar →
train	13–9	0.06	18%	23 Mar →
dust2	3–13	-0.03	16%	22 Mar →
nuke	13–2	0.03	5%	15 Mar →
overpass	5–13	-0.07	21%	15 Mar →
inferno	13–10	0.06	16%	15 Mar →
mirage	11–0	0.13	17%	15 Mar →
inferno	7–9	-0.07	16%	15 Mar →
train	5–13	-0.05	27%	12 Mar →
inferno	4–9	-0.10	22%	12 Mar →
inferno	8–8	-0.02	18%	12 Mar →
mirage	2–13	-0.07	13%	12 Mar →
train	3–13	-0.13	11%	10 Mar →
vertigo	13–6	0.02	14%	9 Mar →
mirage	7–13	-0.03	17%	9 Mar →
mirage	13–8	0.02	17%	8 Mar →
mirage	16–14	-0.01	8%	7 Mar →
nuke	9–3	0.11	20%	3 Mar →
ancient	5–13	-0.07	18%	2 Mar →
inferno	13–6	0.04	15%	2 Mar →
mirage	13–9	0.02	29%	1 Mar →
inferno	5–13	0.00	16%	24 Feb →
inferno	13–8	0.09	24%	24 Feb →
nuke	8–13	-0.04	20%	21 Feb →
nuke	16–13	-0.04	11%	20 Feb →
dust2	8–13	-0.01	23%	20 Feb →
train	16–14	-0.01	23%	20 Feb →
anubis	7–13	-0.04	3%	20 Feb →
inferno	13–9	-0.01	15%	19 Feb →
nuke	13–10	-0.00	10%	19 Feb →
inferno	6–13	-0.03	12%	19 Feb →
nuke	13–8	0.02	8%	19 Feb →
ancient	13–10	0.01	16%	18 Feb →
italy	13–5	0.01	22%	18 Feb →
basalt	13–3	0.00	20%	18 Feb →