tooTall — CS2 Stats

CH76561197974482679[U:1:14216951]Steam profile ↗✓ No bans

2,236Tracked matches34%Win rate2021Tracked since

CSDB Rating3.3 Learning

Premier CS Rating12,952Blue band · top ~39.3% of ranked players (population est.)

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim40

Positioning35

Utility66

0–100 skill scores via Leetify.

Recent form

COLD38–60–2Last 10038%Win rateLWLWWLLLLT

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

Player DNA

Aim4.0

Aggression2.6

Utility6.6

Positioning3.5

Opening Duels0.0

Clutch1.0

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 NiKo 75% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 661ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim4.0

Positioning3.5

Utility6.6

Mechanics4.0

Opening Duels0.0

Win Impact0.0

Composite 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time663ms−60ms

first ⅓ avg 723ms → last ⅓ avg 663ms

Headshot accuracy18.2%+1.6%

first ⅓ avg 16.6% → 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

0.08Best rating — ancient 13–9

13–2Biggest win — anubis

4Longest win streak

3–10In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 56% over 18dust2Weakest map · 21% over 19

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	21	8–13	38%	-0.01
cache	C	20	8–12	40%	-0.03
dust2	D	19	4–15	21%	-0.04
ancient	A	18	10–8	56%	-0.00
anubis	C	11	4–7	36%	-0.03
nuke	C	5	2–3	40%	-0.01
mirage	—	4	1–3	25%	-0.01
overpass	—	2	1–1	50%	-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (21% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

67Matches

57%Win rate

0.82Avg K/D

63.1ADR

38%Headshot %

Clutches & streaks

25%1v1 clutch win

50%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	7	71%	0.83	11.6
Ancient	7	71%	0.58	12.0
Anubis	5	100%	0.66	10.6
Dust2	4	75%	0.87	16.5
Overpass	3	33%	0.71	13.3
Vertigo	2	50%	0.62	12.5
Mirage	2	50%	0.68	12.5
Cache	2	50%	0.86	12.5

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.

17.1%Headshot accuracy

32.1%Accuracy (enemy spotted)

35.7%Spray accuracy

68.1%Counter-strafing

12.0°Preaim

661msReaction time

27.0%T opening success

27.9%CT opening success

0.68Enemies flashed / flash

5.6%Flash assists

8.90HE damage / grenade

6.72Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.0374° — above the 12° mark we flag
Aim Training →

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.

21% win rate across 19 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
inferno	14–16	-0.05	20%	26 Aug →
nuke	13–8	-0.03	14%	25 Aug →
dust2	6–13	-0.01	11%	25 Aug →
dust2	13–9	-0.03	21%	25 Aug →
anubis	13–4	0.00	23%	23 Aug →
dust2	9–13	-0.01	19%	23 Aug →
ancient	4–13	-0.08	8%	23 Aug →
cache	10–13	-0.04	16%	23 Aug →
ancient	6–13	0.05	20%	23 Aug →
anubis	15–15	-0.07	4%	23 Aug →
ancient	13–6	-0.03	16%	23 Aug →
inferno	7–13	-0.05	20%	23 Aug →
dust2	3–13	-0.07	13%	22 Aug →
nuke	6–13	-0.02	19%	21 Aug →
mirage	10–13	-0.04	21%	21 Aug →
dust2	11–13	0.00	15%	21 Aug →
dust2	4–13	-0.11	9%	21 Aug →
anubis	10–13	-0.02	25%	16 Aug →
ancient	6–13	-0.06	23%	16 Aug →
inferno	13–7	0.00	16%	16 Aug →
cache	13–11	-0.07	15%	16 Aug →
nuke	7–13	-0.01	27%	14 Aug →
dust2	11–13	-0.04	15%	14 Aug →
ancient	13–8	-0.01	13%	14 Aug →
cache	11–13	-0.06	18%	13 Aug →
ancient	8–13	0.06	14%	10 Aug →
inferno	13–5	0.01	24%	6 Aug →
dust2	13–9	0.03	11%	6 Aug →
anubis	13–7	0.03	30%	5 Aug →
cache	8–13	-0.04	18%	5 Aug →
inferno	9–13	-0.04	28%	5 Aug →
nuke	11–13	-0.06	32%	4 Aug →
ancient	6–13	0.04	24%	4 Aug →
mirage	13–5	0.02	7%	3 Aug →
cache	4–13	-0.08	17%	3 Aug →
ancient	13–8	-0.05	14%	2 Aug →
inferno	13–9	-0.05	4%	2 Aug →
dust2	8–13	-0.09	7%	2 Aug →
inferno	13–9	-0.02	19%	31 Jul →
ancient	13–8	0.04	18%	31 Jul →
dust2	10–13	-0.01	16%	31 Jul →
ancient	5–13	-0.12	6%	30 Jul →
dust2	11–13	-0.05	16%	30 Jul →
ancient	1–13	0.04	24%	30 Jul →
inferno	15–15	0.00	11%	29 Jul →
inferno	13–10	0.01	18%	29 Jul →
cache	13–9	-0.02	19%	28 Jul →
inferno	9–13	-0.02	11%	28 Jul →
cache	8–13	-0.05	16%	28 Jul →
cache	10–13	-0.06	14%	28 Jul →
anubis	13–8	-0.03	28%	27 Jul →
anubis	7–13	-0.04	8%	27 Jul →
cache	8–13	0.01	20%	25 Jul →
ancient	13–9	-0.04	10%	25 Jul →
anubis	9–13	-0.06	28%	25 Jul →
cache	9–13	-0.01	21%	25 Jul →
inferno	11–13	-0.03	17%	25 Jul →
ancient	13–10	-0.04	10%	25 Jul →
dust2	13–8	-0.02	17%	25 Jul →
dust2	3–13	-0.08	10%	24 Jul →
inferno	8–13	-0.03	10%	24 Jul →
anubis	6–13	-0.02	13%	24 Jul →
cache	13–7	-0.03	8%	24 Jul →
mirage	5–13	-0.02	13%	23 Jul →
cache	16–14	-0.06	13%	15 Jul →
inferno	16–13	0.01	20%	15 Jul →
cache	11–13	-0.03	16%	14 Jul →
inferno	3–13	-0.03	29%	14 Jul →
inferno	7–13	-0.02	13%	14 Jul →
nuke	13–9	0.06	21%	14 Jul →
ancient	13–11	-0.02	18%	13 Jul →
dust2	13–9	0.03	22%	13 Jul →
cache	16–12	-0.04	18%	9 Jul →
dust2	9–13	-0.07	16%	9 Jul →
cache	13–8	-0.07	14%	9 Jul →
inferno	8–13	-0.02	13%	8 Jul →
cache	10–13	0.00	15%	8 Jul →
cache	13–8	0.04	26%	8 Jul →
cache	7–13	-0.02	10%	7 Jul →
cache	13–9	-0.02	18%	7 Jul →
cache	9–13	-0.05	14%	6 Jul →
dust2	7–13	-0.05	11%	6 Jul →
ancient	13–4	0.04	15%	6 Jul →
dust2	9–13	-0.03	24%	6 Jul →
dust2	8–13	-0.04	21%	30 Jun →
inferno	11–13	0.04	26%	30 Jun →
overpass	13–6	0.01	9%	29 Jun →
anubis	6–13	-0.06	18%	28 Jun →
overpass	10–13	-0.03	16%	28 Jun →
inferno	7–13	0.01	24%	28 Jun →
anubis	5–13	-0.05	14%	28 Jun →
ancient	11–13	-0.01	13%	28 Jun →
inferno	13–9	0.03	20%	28 Jun →
inferno	13–9	-0.02	10%	27 Jun →
mirage	10–13	-0.00	13%	25 Jun →
anubis	13–2	-0.01	5%	24 Jun →
dust2	13–16	-0.04	12%	24 Jun →
inferno	5–13	-0.03	25%	22 Jun →
ancient	13–9	0.08	18%	22 Jun →
ancient	13–4	0.03	7%	21 Jun →