Terry™ — CS2 Stats

76561198884349762[U:1:924084034]

1,121Tracked matches66%Win rate2020Tracked since

1,563Hours in CS

CSDB Rating5.0 DevelopingHybrid Rifler

Premier CS Rating8,887Light Blue band · top ~60.2% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim63

Positioning52

Utility37

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateLWTWLWWWLL

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

Player DNA

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

Aim6.3

Aggression6.8

Utility3.7

Positioning5.2

Opening Duels2.1

Limited utility dependence

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 84% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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. 597ms 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

Aim6.3

Positioning5.2

Utility3.7

Mechanics5.9

Opening Duels2.1

Win Impact10.0

Composite 5.0/10 (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-0.01+0.02

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time605ms−160ms

first ⅓ avg 765ms → last ⅓ avg 605ms

Headshot accuracy17.0%−6.6%

first ⅓ avg 23.5% → last ⅓ avg 17.0%

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

0.21Best rating — mirage 13–7

13–0Biggest win — nuke

7Longest win streak

8–10In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 80% over 5ancientWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	27	14–13	52%	-0.01
dust2	B	25	12–13	48%	-0.02
inferno	C	18	7–11	39%	-0.02
cache	C	10	4–6	40%	-0.02
nuke	S	7	5–2	71%	0.02
ancient	D	7	2–5	29%	-0.02
anubis	S	5	4–1	80%	0.01
train	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

60,601Lifetime kills

0.91K/D

4,067Matches

43.9%Match win rate

40.9%Headshot %

14.6%Shot accuracy · Top 50% of tracked players

4,694MVPs

1,563Hours (in match)

2,408Bombs planted

438Bombs defused

Most-used weapons

AK-4719,623

M4A4 / M4A1-S12,229

AWP7,331

SSG 083,716

P2000 / USP-S2,800

Desert Eagle2,615

Glock-181,788

Galil AR1,503

UMP-45704

FAMAS660

Lifetime map wins

5,065dust2

3,806office

2,693inferno

2,413vertigo

2,098italy

1,280nuke

423train

137lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.9%Headshot accuracy

32.5%Accuracy (enemy spotted)

34.3%Spray accuracy

76.7%Counter-strafing

8.6°Preaim

597msReaction time

34.9%T opening success

41.9%CT opening success

0.61Enemies flashed / flash

8.2%Flash assists

5.85HE damage / grenade

3.25Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.2532 — below the 4 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 34.9081% — 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.

29% win rate across 7 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
mirage	10–13	0.04	7%	27 Aug →
inferno	13–5	0.08	16%	27 Aug →
mirage	15–15	0.00	21%	24 Aug →
cache	13–1	0.04	7%	24 Aug →
inferno	8–13	-0.02	14%	23 Aug →
inferno	13–4	-0.07	9%	23 Aug →
cache	13–9	0.02	10%	22 Aug →
mirage	13–8	0.10	32%	22 Aug →
mirage	4–13	-0.10	11%	21 Aug →
dust2	5–13	-0.08	12%	21 Aug →
dust2	13–2	0.07	31%	21 Aug →
dust2	13–11	0.03	25%	20 Aug →
inferno	13–6	-0.09	17%	20 Aug →
nuke	13–6	0.01	13%	20 Aug →
anubis	13–11	0.02	18%	20 Aug →
mirage	13–3	0.07	21%	20 Aug →
inferno	7–13	-0.09	12%	19 Aug →
mirage	13–8	0.00	16%	19 Aug →
dust2	5–13	-0.03	32%	19 Aug →
cache	8–13	0.02	18%	19 Aug →
mirage	8–13	-0.01	19%	18 Aug →
nuke	13–7	0.02	26%	18 Aug →
dust2	11–13	0.02	23%	18 Aug →
mirage	13–3	-0.02	12%	18 Aug →
mirage	11–13	-0.07	7%	18 Aug →
dust2	13–9	-0.04	13%	18 Aug →
dust2	16–14	-0.00	20%	17 Aug →
anubis	13–5	-0.01	13%	17 Aug →
mirage	13–11	-0.06	14%	16 Aug →
ancient	16–12	-0.05	16%	16 Aug →
nuke	13–9	0.01	23%	16 Aug →
mirage	13–11	-0.06	21%	16 Aug →
ancient	13–16	-0.02	15%	15 Aug →
ancient	8–13	-0.01	18%	15 Aug →
dust2	6–13	-0.09	12%	15 Aug →
dust2	13–7	-0.05	21%	15 Aug →
mirage	2–13	-0.01	18%	15 Aug →
inferno	13–9	0.02	19%	15 Aug →
dust2	13–7	0.08	20%	14 Aug →
ancient	11–13	-0.00	17%	14 Aug →
ancient	15–15	0.08	19%	14 Aug →
inferno	13–8	0.07	14%	14 Aug →
mirage	13–7	0.21	26%	14 Aug →
mirage	11–13	0.01	19%	14 Aug →
inferno	13–2	0.07	19%	14 Aug →
inferno	2–13	-0.06	21%	10 Aug →
mirage	13–11	-0.06	18%	10 Aug →
inferno	4–13	-0.11	20%	10 Aug →
dust2	13–11	-0.04	18%	10 Aug →
dust2	13–8	0.01	13%	10 Aug →
anubis	10–13	0.02	16%	10 Aug →
mirage	13–6	-0.03	23%	10 Aug →
mirage	13–9	-0.05	10%	10 Aug →
cache	3–13	-0.07	17%	10 Aug →
cache	8–13	-0.03	13%	9 Aug →
inferno	15–15	0.02	20%	9 Aug →
cache	9–13	-0.04	11%	9 Aug →
mirage	7–13	-0.04	15%	9 Aug →
dust2	10–13	-0.02	13%	9 Aug →
cache	3–13	-0.08	30%	8 Aug →
inferno	3–13	-0.06	7%	8 Aug →
cache	13–9	-0.03	13%	8 Aug →
dust2	15–15	-0.03	18%	8 Aug →
cache	3–13	-0.06	33%	8 Aug →
cache	13–9	0.04	24%	8 Aug →
anubis	13–9	-0.03	5%	8 Aug →
dust2	13–9	-0.04	24%	7 Aug →
anubis	13–8	0.05	22%	7 Aug →
dust2	11–13	-0.05	21%	7 Aug →
ancient	8–13	-0.08	17%	7 Aug →
dust2	3–13	-0.02	27%	5 Aug →
inferno	11–13	-0.04	28%	2 Aug →
inferno	6–13	-0.05	23%	12 Jun →
mirage	13–11	-0.05	16%	11 Jun →
mirage	13–9	-0.02	33%	9 Jun →
dust2	14–16	-0.05	29%	8 Jun →
mirage	13–5	-0.07	31%	1 Jun →
dust2	13–3	-0.04	80%	1 Jun →
mirage	4–13	-0.06	27%	1 Jun →
train	4–13	-0.02	31%	1 Jun →
dust2	4–13	-0.07	10%	21 Feb →
mirage	13–10	0.01	14%	20 Feb →
nuke	9–13	-0.01	25%	20 Feb →
dust2	2–13	-0.01	19%	17 Dec →
mirage	11–13	-0.01	32%	17 Dec →
dust2	13–6	-0.03	9%	24 Sept →
nuke	11–13	0.02	12%	24 Sept →
dust2	13–6	-0.05	15%	22 Sept →
inferno	10–13	0.06	38%	22 Sept →
dust2	11–13	-0.06	13%	19 Sept →
mirage	8–13	-0.07	8%	19 Sept →
mirage	9–13	-0.01	33%	14 Sept →
inferno	10–13	-0.05	20%	13 Sept →
inferno	4–13	-0.00	19%	13 Sept →
nuke	13–7	0.04	11%	8 Sept →
mirage	9–13	-0.02	18%	7 Sept →
ancient	13–8	-0.05	36%	7 Sept →
nuke	13–0	0.03	11%	7 Sept →
dust2	3–13	0.04	22%	7 Sept →
inferno	13–5	0.00	27%	7 Sept →