tettitee — CS2 Stats

76561198347334297[U:1:387068569]Steam profile ↗✓ No bans

844Tracked matches60%Win rate2020Tracked since

2,236Hours in CS

CSDB Rating7.3 StrongAggressive Rifler

Premier CS Rating23,250Top 50% of 819 CSDB-tracked playersPink band · top ~4.9% of ranked players (population est.)

CSDB Leaderboard#3285 of 12570 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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	Pink band median
Headshot rate	47.8%	48.1%
Shot accuracy	18.5%	12.9%
Kill/death ratio	1.31	1.08
Match win rate	59.9%	46.5%

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Performance scores

Aim81

Positioning64

Utility69

0–100 skill scores via Leetify.

Recent form

HOT54–44–2Last 10054%Win rateWWWWWWLWWW

Last 10 vs previous 10: +40pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.1

Aggression8.9

Utility6.9

Positioning6.4

Opening Duels4.2

Clutch4.4

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 device 95% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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. 578ms 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

Aim8.1

Positioning6.4

Utility6.9

Mechanics7.8

Opening Duels4.2

Win Impact8.3

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time593ms+15ms

first ⅓ avg 578ms → last ⅓ avg 593ms

Headshot accuracy19.8%+0.7%

first ⅓ avg 19.1% → last ⅓ avg 19.8%

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 — dust2 13–7

13–2Biggest win — mirage

6Longest win streak

W6Current streak

7–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 71% over 7anubisWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	37	23–14	62%	0.02
dust2	A	14	8–6	57%	0.05
anubis	D	11	3–8	27%	-0.01
ancient	S	7	5–2	71%	-0.01
cache	A	7	4–3	57%	0.05
inferno	S	7	5–2	71%	0.03
overpass	D	6	2–4	33%	0.01
nuke	C	5	2–3	40%	0.04
cache_b	—	3	1–2	33%	-0.02
vertigo	—	2	0–2	0%	0.10
train	—	1	1–0	100%	0.12

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

129,126Lifetime kills

1.31K/D · Top 25% of Pink band

3,927Matches

59.9%Match win rate · Top 5% of Pink band

47.8%Headshot %

18.5%Shot accuracy · Top 25% of Pink band

19,430MVPs

2,236Hours (in match)

4,482Bombs planted

2,081Bombs defused

Most-used weapons

AK-4751,050

M4A4 / M4A1-S27,980

Desert Eagle12,185

P2000 / USP-S9,376

AWP9,254

Glock-184,176

Knife2,699

P2501,744

SSG 081,629

FAMAS1,381

Lifetime map wins

10,006inferno

4,332dust2

3,625train

2,816nuke

2,547vertigo

775cbble

24lake

18office

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

Faceit stats

Combat

454Matches

56%Win rate

1.35Avg K/D

86.0ADR

46%Headshot %

Clutches & streaks

42%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	66	61%	1.12	16.9
Inferno	21	62%	1.23	17.8
Ancient	21	67%	1.18	17.7
Dust2	13	54%	1.17	15.3
Nuke	12	50%	1.08	18.0
Anubis	6	0%	0.78	12.3
Train	5	20%	0.88	16.4
Overpass	4	25%	1.02	15.8

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.

19.3%Headshot accuracy

34.6%Accuracy (enemy spotted)

35.3%Spray accuracy

85.3%Counter-strafing

7.3°Preaim

578msReaction time

48.0%T opening success

45.4%CT opening success

0.61Enemies flashed / flash

11.9%Flash assists

12.52HE damage / grenade

11.39Flashes / match

Recommended for you

Spend your practice time on Anubis

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–7	-0.04	37%	7 Aug →
ancient	13–7	-0.02	19%	6 Aug →
mirage	13–5	0.02	20%	6 Aug →
mirage	6–0	0.04	20%	6 Aug →
mirage	13–2	0.04	27%	6 Aug →
mirage	13–7	0.12	33%	6 Aug →
anubis	6–13	-0.07	24%	6 Aug →
mirage	13–10	-0.05	14%	6 Aug →
cache	13–10	0.08	18%	5 Aug →
inferno	16–12	0.09	13%	5 Aug →
dust2	13–16	-0.02	20%	4 Aug →
dust2	11–13	0.05	12%	4 Aug →
dust2	13–2	0.08	24%	4 Aug →
inferno	13–7	-0.03	16%	4 Aug →
dust2	11–13	0.07	28%	3 Aug →
mirage	10–13	0.03	10%	24 Jul →
cache	13–6	0.10	24%	23 Jul →
inferno	13–7	0.01	16%	23 Jul →
anubis	8–13	-0.02	21%	23 Jul →
inferno	13–4	0.09	26%	23 Jul →
dust2	13–8	-0.02	9%	23 Jul →
anubis	9–13	-0.03	9%	23 Jul →
anubis	13–11	0.05	14%	23 Jul →
inferno	8–13	0.06	28%	23 Jul →
nuke	7–13	0.03	25%	20 Jul →
vertigo	9–13	0.05	17%	20 Jul →
mirage	16–14	-0.02	16%	20 Jul →
dust2	13–4	0.01	13%	20 Jul →
mirage	8–13	0.02	17%	20 Jul →
anubis	5–13	-0.04	24%	19 Jul →
cache	8–13	0.02	19%	19 Jul →
mirage	10–13	-0.00	29%	18 Jul →
mirage	13–8	0.00	14%	12 Jul →
mirage	13–3	0.05	16%	12 Jul →
cache	13–16	-0.01	13%	12 Jul →
mirage	5–13	-0.04	18%	12 Jul →
mirage	8–13	0.06	22%	12 Jul →
dust2	13–10	0.07	24%	11 Jul →
inferno	13–11	0.03	38%	11 Jul →
anubis	13–16	-0.05	26%	11 Jul →
dust2	13–3	0.04	30%	11 Jul →
mirage	13–7	0.10	25%	10 Jul →
cache	14–16	0.04	25%	10 Jul →
nuke	3–13	0.03	26%	10 Jul →
ancient	13–5	0.04	15%	10 Jul →
mirage	11–13	0.05	14%	10 Jul →
cache	13–5	0.05	26%	10 Jul →
dust2	12–12	0.04	21%	9 Jul →
overpass	12–12	-0.01	11%	24 Jun →
mirage	13–6	0.06	27%	24 Jun →
dust2	13–7	0.16	35%	24 Jun →
ancient	13–10	0.05	20%	24 Jun →
cache	13–10	0.08	24%	24 Jun →
ancient	13–3	-0.02	11%	22 Jun →
mirage	13–7	0.06	19%	22 Jun →
anubis	4–10	0.01	23%	28 May →
anubis	3–13	-0.06	17%	28 May →
dust2	13–11	0.02	21%	20 Apr →
mirage	3–13	-0.04	15%	20 Apr →
ancient	3–13	-0.11	18%	20 Apr →
dust2	3–13	0.06	18%	19 Apr →
anubis	13–5	-0.01	8%	19 Apr →
mirage	13–6	-0.05	22%	18 Apr →
mirage	7–13	0.05	24%	16 Apr →
mirage	13–11	0.07	28%	16 Apr →
mirage	5–13	-0.05	19%	16 Apr →
cache_b	22–18	0.02	14%	16 Apr →
dust2	11–13	0.05	25%	22 Mar →
overpass	8–13	0.01	19%	21 Mar →
nuke	13–5	0.10	20%	21 Mar →
mirage	13–8	0.01	27%	21 Mar →
nuke	9–13	0.00	25%	18 Mar →
mirage	13–6	0.06	20%	18 Mar →
overpass	6–13	-0.02	32%	16 Mar →
mirage	11–13	0.04	26%	16 Mar →
dust2	13–8	0.00	17%	16 Mar →
nuke	13–4	0.02	22%	6 Mar →
mirage	7–13	0.16	28%	6 Mar →
vertigo	11–13	0.15	24%	6 Mar →
anubis	6–13	0.01	24%	17 Feb →
ancient	13–7	0.06	15%	17 Feb →
anubis	13–11	0.15	31%	17 Feb →
mirage	1–9	0.02	17%	17 Feb →
overpass	3–13	0.01	19%	3 Jan →
mirage	13–5	0.00	14%	3 Jan →
overpass	16–13	0.06	20%	3 Jan →
mirage	13–5	0.04	16%	3 Jan →
mirage	0–13	-0.05	15%	3 Jan →
cache_b	13–16	-0.05	10%	30 Dec →
mirage	13–11	0.01	14%	30 Dec →
cache_b	1–13	-0.03	15%	30 Dec →
ancient	6–13	-0.03	9%	30 Dec →
mirage	13–8	0.02	9%	30 Dec →
inferno	9–13	-0.01	20%	30 Dec →
mirage	7–13	-0.01	15%	30 Dec →
mirage	13–9	0.04	15%	30 Dec →
mirage	13–5	0.03	8%	30 Dec →
mirage	16–13	0.01	18%	29 Dec →
overpass	13–10	-0.02	23%	29 Dec →
train	13–10	0.12	18%	29 Dec →