ClickForLife — CS2 Stats

76561198057808988[U:1:97543260]

790Tracked matches54%Win rate2020Tracked since

2,190Hours in CS3Hrs last 2 wks

CSDB Rating4.0 Developing

Ladder ranks via Leetify

Performance scores

Aim42

Positioning52

Utility37

0–100 skill scores via Leetify.

Recent form

COLD47–41–12Last 10047%Win rateLLLTLTLWTL

Last 10 vs previous 10: -50pp win rate · -0.01 avg rating

Player DNA

Aim4.2

Aggression6.6

Utility3.7

Positioning5.2

Opening Duels2.5

Clutch3.8

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 80% playstyle similarity

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

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

T-side openings. Opening success drops from 59% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 655ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim4.2

Positioning5.2

Utility3.7

Mechanics4.2

Opening Duels3.7

Win Impact6.3

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time649ms+12ms

first ⅓ avg 637ms → last ⅓ avg 649ms

Headshot accuracy20.2%−2.2%

first ⅓ avg 22.4% → last ⅓ avg 20.2%

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

0.16Best rating — inferno 13–2

13–0Biggest win — cache

6Longest win streak

L3Current streak

8–4In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 55% over 49infernoWeakest map · 39% over 38

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	49	27–22	55%	-0.02
inferno	C	38	15–23	39%	-0.02
ancient	C	5	2–3	40%	-0.03
train	—	2	1–1	50%	0.00
nuke	—	1	0–1	0%	-0.01
vertigo	—	1	1–0	100%	-0.03
dust2	—	1	1–0	100%	0.03
italy	—	1	0–1	0%	-0.03
overpass	—	1	0–1	0%	-0.07
anubis	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (39% over 38). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,899Lifetime kills

0.98K/D

2,720Matches

47.2%Match win rate · Top 50% of tracked players

35.8%Headshot %

15.8%Shot accuracy · Top 25% of tracked players

5,137MVPs

1,219Hours (in match)

3,413Bombs planted

719Bombs defused

Most-used weapons

AK-4713,855

M4A4 / M4A1-S8,364

FAMAS2,651

P2000 / USP-S2,599

AWP2,522

Glock-182,104

MAC-101,617

MP71,242

Desert Eagle1,165

MP9987

Lifetime map wins

4,767inferno

4,748dust2

1,464cbble

928nuke

721train

215vertigo

44bank

41lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

55Matches

44%Win rate

0.88Avg K/D

63.9ADR

41%Headshot %

Clutches & streaks

39%1v1 clutch win

16%1v2 clutch win

3Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	17	53%	0.78	12.3
Ancient	14	36%	1.10	16.1
Train	11	45%	1.01	16.4
Mirage	6	50%	0.67	12.2
Overpass	5	20%	0.73	12.2
Cache	1	100%	0.30	7.0

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.

20.5%Headshot accuracy

29.2%Accuracy (enemy spotted)

31.7%Spray accuracy

69.0%Counter-strafing

10.9°Preaim

655msReaction time

20.7%T opening success

59.2%CT opening success

0.36Enemies flashed / flash

1.9%Flash assists

7.79HE damage / grenade

8.85Flashes / 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 0.3588 — 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 20.657% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

39% win rate across 38 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	7–13	-0.04	31%	25 Aug →
inferno	5–13	-0.06	4%	21 Aug →
cache	7–13	-0.05	35%	19 Aug →
inferno	12–12	-0.07	14%	19 Aug →
cache	4–13	-0.08	25%	11 Aug →
nuke	12–12	-0.01	13%	11 Aug →
inferno	7–13	-0.03	8%	7 Aug →
inferno	13–11	0.03	11%	5 Aug →
cache	12–12	-0.03	9%	5 Aug →
inferno	6–13	-0.04	19%	4 Aug →
cache	6–13	-0.01	30%	4 Aug →
cache	13–9	-0.07	15%	31 Jul →
inferno	10–13	-0.04	22%	31 Jul →
cache	13–9	-0.03	30%	31 Jul →
vertigo	13–10	-0.03	17%	29 Jul →
inferno	13–5	0.03	45%	29 Jul →
cache	10–13	-0.01	19%	29 Jul →
inferno	13–9	-0.03	21%	28 Jul →
inferno	13–7	0.02	33%	24 Jul →
cache	6–13	-0.08	11%	24 Jul →
dust2	13–8	0.03	15%	23 Jul →
cache	13–11	0.06	22%	23 Jul →
inferno	8–13	-0.03	35%	23 Jul →
cache	13–11	-0.05	11%	23 Jul →
train	12–12	-0.01	15%	23 Jul →
italy	11–13	-0.03	19%	22 Jul →
train	13–10	0.01	24%	22 Jul →
cache	13–11	-0.04	24%	22 Jul →
inferno	13–3	-0.00	18%	22 Jul →
cache	13–4	-0.02	29%	21 Jul →
inferno	13–9	-0.04	14%	21 Jul →
cache	13–9	-0.03	20%	10 Jul →
inferno	12–12	-0.01	8%	9 Jul →
inferno	13–10	-0.07	16%	8 Jul →
cache	7–13	-0.04	15%	8 Jul →
cache	13–11	-0.06	28%	3 Jul →
cache	6–13	-0.08	16%	26 Jun →
inferno	13–2	0.16	15%	26 Jun →
inferno	11–13	-0.02	13%	25 Jun →
cache	13–5	0.02	26%	23 Jun →
ancient	6–13	-0.07	35%	23 Jun →
overpass	10–13	-0.07	10%	23 Jun →
cache	8–13	-0.08	23%	19 Jun →
inferno	12–12	-0.01	19%	19 Jun →
cache	13–4	0.01	19%	19 Jun →
inferno	7–13	-0.05	9%	18 Jun →
cache	10–13	0.01	18%	18 Jun →
cache	13–0	0.10	13%	18 Jun →
cache	13–3	-0.01	100%	18 Jun →
inferno	10–13	-0.02	11%	17 Jun →
cache	13–3	0.03	28%	16 Jun →
inferno	13–6	-0.03	18%	16 Jun →
cache	13–8	-0.01	19%	16 Jun →
cache	13–6	-0.00	17%	15 Jun →
inferno	2–11	-0.02	25%	14 Jun →
ancient	9–13	-0.02	13%	14 Jun →
cache	3–13	-0.01	32%	13 Jun →
inferno	13–10	-0.03	20%	13 Jun →
ancient	5–13	-0.01	26%	13 Jun →
cache	6–13	-0.05	31%	13 Jun →
ancient	13–8	-0.03	39%	13 Jun →
cache	13–5	0.01	26%	13 Jun →
inferno	11–13	0.07	27%	12 Jun →
cache	1–13	-0.08	18%	12 Jun →
cache	13–10	-0.00	21%	12 Jun →
anubis	6–13	-0.06	31%	12 Jun →
cache	10–13	-0.04	21%	5 Jun →
cache	13–10	-0.04	20%	4 Jun →
cache	13–10	0.03	29%	3 Jun →
inferno	13–1	0.01	17%	3 Jun →
inferno	13–6	0.04	30%	2 Jun →
cache	12–12	-0.05	11%	2 Jun →
cache	12–12	0.00	20%	29 May →
inferno	12–12	-0.01	30%	29 May →
inferno	13–11	-0.04	19%	29 May →
cache	4–13	0.02	22%	29 May →
cache	13–5	0.05	16%	29 May →
inferno	12–12	-0.03	14%	27 May →
cache	5–13	0.00	26%	27 May →
inferno	5–13	-0.03	30%	26 May →
inferno	7–13	-0.08	19%	25 May →
cache	13–5	-0.05	6%	25 May →
inferno	13–9	-0.01	32%	22 May →
cache	11–13	0.05	25%	22 May →
cache	6–13	-0.05	14%	20 May →
inferno	13–11	-0.01	28%	20 May →
cache	13–7	-0.05	43%	20 May →
inferno	9–13	-0.05	17%	20 May →
cache	13–8	-0.02	19%	19 May →
cache	7–13	-0.04	40%	15 May →
inferno	12–12	0.01	35%	14 May →
cache	13–0	0.05	50%	14 May →
inferno	9–13	-0.07	12%	9 May →
cache	13–11	-0.03	15%	9 May →
inferno	1–13	-0.09	29%	9 May →
ancient	13–9	-0.00	25%	8 May →
cache	7–13	0.01	5%	8 May →
inferno	12–12	-0.08	20%	8 May →
cache	13–9	-0.01	13%	8 May →
cache	13–6	-0.01	10%	8 May →