TitaN — CS2 Stats

JP76561198155380356[U:1:195114628]Steam profile ↗✓ No bans

629Tracked matches55%Win rate2020Tracked since

6,801Hours in CS14Hrs last 2 wks

CSDB Rating6.8 SolidPositional Player

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	21	—	—
Win rate	38%	—	—
K/D	1.08	—	—
Headshot %	36%	—	—

Measured 30 Aug 2026 → 1 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=13,870), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 7 median	Level 8 median	vs Level 8
Headshot rate	49.3%	45.7%	46.8%	above
Shot accuracy	21.5%	12.7%	13.0%	above
Kill/death ratio	0.69	1.05	1.06	0.38 short
Match win rate	38.5%	45.7%	46.3%	7.8% short

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim78

Positioning67

Utility55

0–100 skill scores via Leetify.

Recent form

COLD51–41–8Last 10051%Win rateWLLLLWWLLL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · −2.4pp headshot accuracy · +15ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating -0.03
Avg headshot accuracy 16%
Avg reaction 601ms

Last 10

3–7 · 30% win rate
Avg rating -0.00
Avg headshot accuracy 15%
Avg reaction 588ms

Last 20

8–12 · 40% win rate
Avg rating 0.00
Avg headshot accuracy 16%
Avg reaction 581ms

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: Positional Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim7.8

Utility5.5

Positioning6.7

Opening Duels3.8

Clutch6.0

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.

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 jL 91% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 626ms 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

Aim7.8

Positioning6.7

Utility5.5

Mechanics7.5

Opening Duels4.7

Win Impact6.7

Composite 6.8/10 (Solid), 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-0.01−0.04

first ⅓ avg 0.03 → last ⅓ avg -0.01

Reaction time617ms−48ms

first ⅓ avg 665ms → last ⅓ avg 617ms

Headshot accuracy17.7%+0.1%

first ⅓ avg 17.5% → last ⅓ avg 17.7%

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

0.21Best match rating · 9–2 · inferno, 19 May →

50%Best headshot accuracy · 13–2 · cache, 1 Jul →

430msFastest reaction time · 9–1 · vertigo, 17 May →

13–2Biggest win · cache, 1 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak

5–7In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 61% over 44infernoWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	44	27–17	61%	0.02
mirage	B	18	9–9	50%	0.01
inferno	D	9	3–6	33%	-0.00
vertigo	C	7	3–4	43%	0.04
anubis	C	5	2–3	40%	0.02
overpass	C	5	2–3	40%	0.01
nuke	—	4	3–1	75%	0.04
dust2	—	3	1–2	33%	-0.04
ancient	—	1	0–1	0%	-0.03
sanctum	—	1	0–1	0%	0.02
poseidon	—	1	0–1	0%	-0.11
warden	—	1	0–1	0%	0.20
office	—	1	1–0	100%	0.16

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

278,070Lifetime kills

0.69K/D

9,262Matches

38.5%Match win rate

49.3%Headshot % · Top 50% of Level 7 players

21.5%Shot accuracy · Top 1% of Level 7 players

30,067MVPs

6,813Hours (in match)

12,608Bombs planted

4,729Bombs defused

Most-used weapons

AK-4791,395

AWP72,105

P2000 / USP-S35,411

M4A4 / M4A1-S24,568

Desert Eagle20,548

Glock-186,856

P2503,571

Knife3,387

SSG 082,530

MAC-101,736

Lifetime map wins

14,209office

9,362inferno

5,207dust2

4,774cbble

4,551train

1,996vertigo

1,582nuke

202shorttrain

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

Faceit stats

Combat

830Matches

51%Win rate

1.07Avg K/D

71.5ADR

37%Headshot %

Clutches & streaks

50%1v1 clutch win

0%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Train	1	0%	0.56	9.0
Dust2	1	0%	0.73	11.0
Ancient	1	100%	1.73	19.0

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.

19.8%Headshot accuracy

37.9%Accuracy (enemy spotted)

40.6%Spray accuracy

83.7%Counter-strafing

9.8°Preaim

626msReaction time

49.1%T opening success

48.2%CT opening success

0.69Enemies flashed / flash

16.1%Flash assists

7.38HE damage / grenade

4.65Flashes / match

Recommended for you

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.

33% win rate across 9 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
cache	13–7	0.01	23%	29 Sept →
mirage	2–13	-0.05	8%	29 Sept →
mirage	5–13	-0.05	21%	26 Sept →
anubis	10–13	-0.04	14%	26 Sept →
cache	2–13	-0.03	13%	26 Sept →
cache	13–11	-0.01	14%	24 Sept →
cache	13–10	0.09	11%	24 Sept →
mirage	7–13	0.04	18%	24 Sept →
mirage	7–13	0.03	15%	24 Sept →
anubis	6–13	0.01	11%	22 Sept →
mirage	7–13	-0.03	21%	22 Sept →
dust2	9–13	-0.04	16%	22 Sept →
cache	4–13	0.04	18%	22 Sept →
mirage	5–13	-0.02	19%	21 Sept →
inferno	9–6	0.05	13%	21 Sept →
cache	13–10	0.05	21%	21 Sept →
cache	13–10	0.02	13%	19 Sept →
anubis	13–11	0.05	13%	19 Sept →
mirage	13–3	0.04	20%	19 Sept →
vertigo	7–9	-0.12	18%	19 Sept →
cache	8–13	0.01	37%	14 Jul →
mirage	11–1	-0.04	18%	14 Jul →
mirage	13–8	0.00	8%	1 Jul →
cache	13–2	0.03	50%	1 Jul →
cache	13–10	-0.04	15%	28 Jun →
overpass	8–8	-0.02	9%	14 Jun →
nuke	7–9	0.03	10%	14 Jun →
vertigo	5–9	-0.02	21%	14 Jun →
inferno	1–9	-0.20	0%	14 Jun →
vertigo	7–9	0.03	25%	14 Jun →
inferno	2–9	-0.07	20%	14 Jun →
cache	13–2	0.02	22%	9 Jun →
cache	12–12	-0.08	29%	4 Jun →
mirage	13–6	0.09	38%	4 Jun →
overpass	13–8	0.05	19%	28 May →
dust2	13–5	-0.03	6%	28 May →
mirage	13–9	0.01	35%	28 May →
mirage	8–13	-0.04	34%	28 May →
inferno	13–6	0.02	13%	27 May →
cache	13–8	0.06	38%	27 May →
mirage	13–6	-0.04	18%	26 May →
cache	13–3	0.00	8%	26 May →
mirage	7–13	-0.01	20%	25 May →
cache	12–12	0.04	16%	25 May →
cache	11–13	0.06	26%	25 May →
vertigo	8–8	-0.05	17%	22 May →
inferno	7–9	-0.07	10%	19 May →
overpass	9–6	0.06	17%	19 May →
nuke	9–6	0.04	14%	19 May →
vertigo	9–3	0.14	15%	19 May →
nuke	9–7	0.01	11%	19 May →
inferno	4–9	0.03	11%	19 May →
inferno	5–9	0.02	29%	19 May →
vertigo	9–5	0.17	27%	19 May →
overpass	6–9	-0.01	23%	19 May →
inferno	9–2	0.21	29%	19 May →
nuke	9–4	0.09	18%	19 May →
vertigo	9–1	0.15	15%	17 May →
overpass	6–9	-0.04	4%	17 May →
inferno	6–9	0.00	16%	17 May →
mirage	8–13	0.01	11%	17 May →
anubis	13–6	0.14	20%	17 May →
cache	13–6	0.02	14%	17 May →
cache	13–7	0.02	21%	14 May →
mirage	13–10	-0.02	13%	13 May →
cache	13–8	0.01	20%	13 May →
cache	13–11	0.06	18%	13 May →
cache	3–13	-0.05	15%	12 May →
cache	5–13	0.03	18%	12 May →
cache	13–7	0.06	20%	12 May →
mirage	13–2	0.15	31%	11 May →
cache	13–9	0.06	17%	11 May →
cache	13–11	-0.01	6%	11 May →
cache	12–12	-0.01	7%	10 May →
cache	13–7	0.02	14%	10 May →
cache	13–6	0.00	15%	10 May →
cache	8–13	-0.03	30%	10 May →
cache	12–12	0.01	16%	10 May →
cache	9–13	-0.05	12%	10 May →
cache	7–13	-0.04	14%	9 May →
ancient	11–13	-0.03	21%	9 May →
cache	7–13	0.02	21%	9 May →
cache	13–9	0.11	22%	9 May →
cache	13–7	0.09	24%	9 May →
cache	13–3	0.08	19%	9 May →
cache	13–7	0.11	26%	8 May →
cache	13–3	0.12	22%	8 May →
cache	13–6	0.06	10%	8 May →
cache	13–5	0.08	18%	8 May →
cache	12–12	-0.05	16%	7 May →
cache	13–3	-0.06	5%	7 May →
dust2	9–13	-0.05	26%	7 May →
anubis	9–13	-0.04	19%	7 May →
sanctum	4–9	0.02	25%	2 May →
poseidon	4–9	-0.11	5%	2 May →
warden	7–13	0.20	19%	2 May →
office	13–7	0.16	19%	2 May →
cache	11–13	0.03	15%	2 May →
mirage	13–7	0.08	24%	29 Apr →
cache	12–12	0.07	9%	29 Apr →