LTK

LTK — CS2 Stats

HK76561197991546694[U:1:31280966]Steam profile ↗✓ No bans

1,789Tracked matches59%Win rate2020Tracked since
10,517Hours in CS25Hrs last 2 wks
CSDB Rating6.7 SolidPositional Player
Premier CS Rating23,200Pink band · top ~5% of ranked players (population est.)
FaceitLevel 10 · 2,274 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGLTKFACEITLevel 10 · 2,274 ELOSTANDINGTop 12.4% of rankedPREMIER23,200 · Pink bandcsdb.gg/stats

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Performance scores

Aim76
Positioning64
Utility56

0–100 skill scores via Leetify.

Recent form

COLD62–34–4Last 10062%Win rateLLLLWLLWLL

Last 10 vs previous 10: −50pp win rate · −0.02 avg rating · −2.2pp headshot accuracy · −56ms reaction

Win rate down 50pp 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 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 539ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 538ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 566ms

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 (+2 against its own average).

Aim7.6
Utility5.6
Positioning6.4
Opening Duels2.9
Clutch2.6

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

Twistzz

Plays most like Twistzz 89% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 557ms 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

Aim7.6
Positioning6.4
Utility5.6
Mechanics5.9
Opening Duels4.6
Win Impact7.9

Composite 6.7/10 (Solid), 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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time568ms−1ms
first ⅓ avg 569ms → last ⅓ avg 568ms
Headshot accuracy22.4%+1.8%
first ⅓ avg 20.7% → last ⅓ avg 22.4%

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

0.19Best match rating · 13–6 · cache, 28 Jul →
41%Best headshot accuracy · 12–12 · train, 7 Oct →
359msFastest reaction time · 11–13 · ancient, 30 Jul →
13–1Biggest win · mirage, 9 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L4Current streak
8–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 100% over 10mirageWeakest map · 32% over 19
MapGradePlayedRecordWin rateAvg rating
dust2S2620–677%0.03
mirageD196–1332%0.03
infernoS1711–665%0.04
ancientB157–847%0.02
cacheS1010–0100%0.05
anubisC73–443%0.01
nuke—44–0100%0.04
train—10–10%0.08
vertigo—11–0100%0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (32% over 19). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

346,684Lifetime kills
0.99K/D
13,448Matches
56.2%Match win rate
49.3%Headshot %
16.3%Shot accuracy
35,014MVPs
10,575Hours (in match)
20,291Bombs planted
5,755Bombs defused

Most-used weapons

AK-47110,831
AWP47,033
Glock-1814,146
P2507,881
Knife6,844
Tec-96,208
MAC-105,599

Lifetime map wins

35,407inferno
16,733dust2
6,209nuke
5,744train
4,865vertigo
2,747cbble
305aztec
196italy

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

Faceit stats

Combat

3,279Matches
51%Win rate
1.13Avg K/D
81.7ADR
45%Headshot %

Clutches & streaks

33%1v1 clutch win
23%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient24351%1.1116.3
Mirage21547%1.1116.4
Dust215551%1.0915.7
Anubis15041%1.0816.6
Inferno11756%1.1316.6
Vertigo4654%1.1016.2
Overpass2143%1.0515.7
Nuke2167%1.2417.9

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.

21.7%Headshot accuracy
34.9%Accuracy (enemy spotted)
37.1%Spray accuracy
76.4%Counter-strafing
9.2°Preaim
557msReaction time
51.9%T opening success
44.6%CT opening success
0.60Enemies flashed / flash
6.3%Flash assists
9.71HE damage / grenade
6.56Flashes / match

Recommended for you

Spend your practice time on Mirage

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

32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–130.0717%11 Nov →
anubis9–13-0.0418%4 Nov →
dust25–13-0.0319%4 Nov →
inferno11–130.0323%4 Nov →
mirage13–100.0412%29 Oct →
inferno5–130.0424%29 Oct →
mirage9–13-0.0116%29 Oct →
ancient13–20.0919%29 Oct →
mirage2–13-0.0626%26 Oct →
inferno10–130.0023%22 Oct →
mirage5–13-0.0117%22 Oct →
nuke13–110.0321%22 Oct →
nuke13–30.0818%13 Oct →
mirage3–130.0326%13 Oct →
dust213–50.0313%13 Oct →
dust213–60.0910%13 Oct →
inferno13–6-0.0528%9 Oct →
mirage13–10.0226%9 Oct →
train12–120.0841%7 Oct →
cache13–50.0719%2 Oct →
inferno13–100.0522%2 Oct →
ancient8–130.0619%14 Sept →
dust213–80.0425%12 Sept →
inferno13–90.0320%12 Sept →
dust211–9-0.0131%10 Sept →
dust213–10.0431%9 Sept →
anubis13–80.0221%9 Sept →
mirage14–16-0.0025%9 Sept →
mirage13–9-0.0116%3 Sept →
dust213–20.0727%28 Aug →
cache13–100.0825%28 Aug →
cache13–30.0420%28 Aug →
dust213–50.1740%28 Aug →
dust213–2-0.0221%27 Aug →
mirage11–13-0.0323%26 Aug →
nuke13–70.0124%25 Aug →
ancient13–30.0816%19 Aug →
dust212–120.0325%18 Aug →
inferno13–20.0721%12 Aug →
anubis9–13-0.0211%12 Aug →
ancient20–220.0215%12 Aug →
mirage13–110.1524%11 Aug →
inferno13–10.1028%11 Aug →
cache13–10.0135%11 Aug →
mirage13–50.1424%11 Aug →
dust213–30.1324%11 Aug →
dust29–130.0219%11 Aug →
mirage12–120.0330%7 Aug →
mirage12–120.0819%7 Aug →
dust213–3-0.0522%6 Aug →
anubis13–6-0.0115%5 Aug →
ancient10–13-0.059%2 Aug →
inferno13–90.0526%2 Aug →
inferno13–110.0227%1 Aug →
ancient16–130.0014%1 Aug →
ancient8–130.0320%1 Aug →
inferno16–130.0412%1 Aug →
ancient8–13-0.0123%31 Jul →
ancient11–13-0.0813%30 Jul →
anubis7–130.0616%30 Jul →
inferno11–13-0.0119%29 Jul →
vertigo13–40.0625%29 Jul →
dust213–30.0828%28 Jul →
cache13–60.0415%28 Jul →
cache13–60.1926%28 Jul →
anubis16–120.0326%28 Jul →
nuke13–70.0322%27 Jul →
ancient11–13-0.0321%27 Jul →
dust27–130.0030%27 Jul →
dust213–9-0.0220%27 Jul →
cache13–11-0.0116%27 Jul →
cache13–80.0215%27 Jul →
inferno13–80.1228%23 Jul →
ancient16–13-0.0116%23 Jul →
mirage10–130.0518%23 Jul →
dust216–12-0.0118%23 Jul →
ancient13–110.0227%22 Jul →
dust213–100.0523%22 Jul →
dust213–30.0521%19 Jul →
inferno13–100.0422%19 Jul →
dust28–13-0.0315%19 Jul →
ancient6–130.0130%19 Jul →
dust213–4-0.0219%19 Jul →
mirage9–13-0.0220%18 Jul →
cache13–100.0313%18 Jul →
dust213–80.0728%18 Jul →
anubis10–130.0520%18 Jul →
ancient13–9-0.0010%15 Jul →
inferno7–130.0323%15 Jul →
mirage8–13-0.0217%15 Jul →
mirage14–160.0619%15 Jul →
dust20–4-0.0116%15 Jul →
mirage13–50.0522%14 Jul →
dust213–11-0.0115%14 Jul →
dust213–110.1025%4 Jul →
ancient13–10.1222%4 Jul →
dust213–9-0.0116%4 Jul →
inferno13–10.0433%4 Jul →
cache13–20.0816%1 Jul →
mirage7–13-0.0027%1 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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