MOS51 T-N-T — CS2 Stats

76561198273245126[U:1:312979398]

3,415Tracked matches59%Win rate2020Tracked since
CSDB Rating4.8 DevelopingPassive Rifler
Premier CS Rating25,124Top 25% of 29,473 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)
CSDB Leaderboard#4362 of 38571 tracked
FaceitLevel 10 · 1,922 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGMOS51 T-N-TFACEITLevel 10 · 1,922 ELOSTANDINGTop 12.4% of rankedPREMIER25,124 · Red bandcsdb.gg/stats

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Performance scores

Aim64
Positioning29
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY55441Last 10055%Win rateWLLWWWLWLT

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

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.4
Aggression2.7
Utility3.9
Positioning2.9
Opening Duels0.0
Clutch4.2

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

NiKo

Plays most like NiKo 71% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

Reaction time. 589ms 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

Aim6.4
Positioning2.9
Utility3.9
Mechanics4.2
Opening Duels0.6
Win Impact7.9

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time591ms−52ms
first ⅓ avg 642ms → last ⅓ avg 591ms
Headshot accuracy22.1%+0.4%
first ⅓ avg 21.8% → last ⅓ avg 22.1%

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

0.12Best rating — cache 10–1
131Biggest win — inferno
6Longest win streak
59In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 75% over 8ancientWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
infernoA28161257%-0.03
nukeB21101148%-0.06
anubisA1810856%-0.01
ancientC125742%-0.03
mirageA117464%-0.01
cacheS86275%0.01
dust221150%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,514Matches
51%Win rate
1.05Avg K/D
76.5ADR
45%Headshot %

Clutches & streaks

41%1v1 clutch win
17%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage34651%1.0314.9
Ancient22049%1.0014.8
Anubis19851%1.1115.0
Inferno19557%1.0915.0
Nuke15157%1.0715.6
Dust213443%1.0014.9
Vertigo4146%1.2615.4
Overpass2733%0.9014.4

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.

20.6%Headshot accuracy
31.6%Accuracy (enemy spotted)
38.9%Spray accuracy
68.8%Counter-strafing
8.9°Preaim
589msReaction time
22.3%T opening success
34.4%CT opening success
0.41Enemies flashed / flash
3.9%Flash assists
6.71HE damage / grenade
7.69Flashes / 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.

  1. 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 0.4069 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 22.3395% — 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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–30.0465%29 Aug
inferno2–13-0.10100%28 Aug
nuke9–13-0.0616%28 Aug
inferno13–20.0129%28 Aug
anubis13–6-0.027%26 Aug
mirage13–8-0.0017%25 Aug
ancient5–13-0.0622%22 Aug
nuke13–60.0622%22 Aug
nuke2–13-0.1729%22 Aug
ancient15–15-0.042%22 Aug
anubis3–13-0.0032%21 Aug
inferno13–110.0320%21 Aug
anubis6–13-0.0833%20 Aug
nuke13–8-0.018%20 Aug
anubis13–9-0.0116%19 Aug
anubis13–7-0.0816%19 Aug
cache13–10-0.0313%19 Aug
ancient3–13-0.0917%19 Aug
nuke16–14-0.0216%19 Aug
nuke1–13-0.070%17 Aug
inferno5–0-0.0750%17 Aug
inferno13–40.0514%16 Aug
anubis10–13-0.0513%16 Aug
dust213–9-0.0914%16 Aug
mirage2–13-0.0718%16 Aug
anubis13–40.0113%16 Aug
inferno13–10-0.0315%15 Aug
inferno11–130.0317%15 Aug
nuke2–13-0.0632%15 Aug
inferno13–4-0.0226%12 Aug
inferno13–80.0610%12 Aug
ancient3–13-0.0621%12 Aug
cache3–13-0.0312%12 Aug
inferno13–10.1135%12 Aug
inferno16–13-0.0318%11 Aug
inferno13–6-0.0336%11 Aug
anubis13–50.088%10 Aug
dust25–13-0.0480%8 Aug
ancient13–40.0113%8 Aug
mirage11–130.0328%8 Aug
mirage11–130.0123%6 Aug
ancient13–50.0314%6 Aug
ancient13–10-0.046%6 Aug
anubis13–90.0322%6 Aug
nuke13–8-0.0922%6 Aug
cache13–9-0.0126%6 Aug
ancient6–13-0.1140%5 Aug
inferno4–13-0.135%4 Aug
cache16–140.0229%4 Aug
nuke0–13-0.080%4 Aug
anubis13–6-0.069%4 Aug
nuke13–3-0.0521%4 Aug
ancient13–9-0.0313%4 Aug
ancient6–130.0231%3 Aug
inferno13–11-0.0122%3 Aug
inferno5–13-0.080%3 Aug
anubis13–110.0414%3 Aug
nuke13–7-0.0622%3 Aug
inferno13–7-0.0414%2 Aug
anubis13–9-0.0122%2 Aug
anubis13–40.1115%1 Aug
cache13–40.0430%1 Aug
inferno11–130.0129%1 Aug
anubis11–13-0.0311%1 Aug
inferno9–13-0.0517%30 Jul
ancient5–13-0.0114%30 Jul
cache9–13-0.0320%29 Jul
inferno13–90.0737%29 Jul
nuke13–4-0.088%29 Jul
inferno14–16-0.0527%29 Jul
anubis10–130.0114%28 Jul
inferno9–13-0.0517%28 Jul
inferno13–10-0.0122%28 Jul
mirage13–70.0330%27 Jul
nuke1–13-0.0525%26 Jul
mirage13–1-0.0017%25 Jul
anubis2–13-0.1040%25 Jul
nuke11–13-0.018%23 Jul
inferno13–6-0.0217%23 Jul
inferno3–13-0.1150%21 Jul
nuke13–4-0.0418%21 Jul
mirage13–7-0.0514%21 Jul
anubis8–13-0.0219%21 Jul
cache10–10.1240%21 Jul
inferno3–13-0.0819%21 Jul
mirage6–13-0.0719%19 Jul
nuke7–13-0.1113%19 Jul
mirage13–7-0.0910%18 Jul
cache13–6-0.0250%18 Jul
inferno13–20.0130%18 Jul
nuke13–6-0.0219%18 Jul
nuke2–2-0.0640%18 Jul
mirage13–80.0321%18 Jul
inferno10–13-0.0231%18 Jul
nuke6–13-0.0418%18 Jul
ancient13–70.0420%17 Jul
nuke0–2-0.110%17 Jul
inferno0–13-0.150%17 Jul
anubis6–13-0.0711%17 Jul
nuke13–3-0.0215%17 Jul

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
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